GNMAA Marketing Research Service Learning Project

GNMAA Marketing Research Icaza, Jaime, VerHoef, Wen |1

Greater North Michigan Avenue Association’s BMO Harris Bank Magnificent Mile Lights Festival 2013

White Paper Deliverable

MARK 311- 102


Table of Contents

Section 1: Introduction……………………………………………………………………… 3

Section 2: Background………………………………………………………………………. 4

Business to Business Partnership………………………………………… 4

Managerial Decision Opportunity…………………………………….….. 4

Delivery Oriented Potential…………………………………………………. 5

Section 3: Solution…………………………………………………………………………….. 5

Data Collection Instruments………………………………………………… 5

Focus Group Moderator Guide……………………………… 5

Qualtrics Survey………………………………………………….. 5

Sampling Frame…………………………………………………………………. 6

Quality and Validity…………………………………………….. 6

“Ethical Dilemmas” ……………………………………………. 7

Preliminary Steps to Data Analysis………………………………………. 8

Individual Variables……………………………………………………………. 8

Multiple Variables………………………………………………………………. 9

Section 4: Conclusion………………………………………………………………………… 9

Research Objective 1…………………………………………………………… 10




Conclusion to Analysis………………………………………………………… 15

Section 5: Works Cited……………………………………………………………………….. 17

Section 6: Appendix……………………………………………………………………………


Section 1: Introduction

Greater North Michigan Avenue Association (GNMAA) has a proud history with The Magnificent Mile

to kick off the holiday season. For 50 vibrant years, the lights along the mile signal the start of the

biggest annual holiday shopping season. The research team presents GNMAA with a managerial

decision opportunity to seek greater consumer involvement with its prominent annual holiday Lights

Festival. In order to provide GNMAA with insightful data to refine the Lights Festival and to better

appeal to attending consumers, the following managerial decision opportunity is as follows: What

opportunities are there to further involve consumers on The Magnificent Mile during the Lights

Festival? The interest for the opportunity came after the request for information (RFI). The research is

designed to identify attendees’ interest, opinions, and participation in Lights Festival and seasonal

activities. In support of the managerial decision opportunity are the following research objectives:

Identify the visibility of activities leading to and on the day of the festival

Investigate consumers’ desired level of involvement

Compare involvement of consumers to overall market segment activity; and

Generate ways to further engage consumers in the festival.

To explore potential developmental opportunities for the Lights Festival, a survey was created based

on the four research objectives and was then circulated during the Lights Festival. The survey was

conducted for a sample over the age of eighteen that included families, couples, and individuals alike.

In addition to the forthcoming data findings, the following are notable findings throughout the research

process, which begins with problem (opportunity) formulation. In this “opportunity formulation”

process, the most important element is developing a range of research objectives and a managerial

decision opportunity rooted in a problem or challenge facing the key contact. In the “determine

research design” phase, the most critical concept is mapping the research process in the way that

best suits the MDO and research objectives. The most significant piece of the next step of the

research process, “determine the data collection method,” is to select the data collection tools that will

provide clean and thorough data. In the “design data collection forms” phase, optimizing the data

collection tool (survey) in its construction, formatting, and inclusion of varying question types to

provide valid data is the most important piece of this step. Lastly, in the “design sample and collect

data” step of the research process, designing a sample frame with which to collect data and analyzing

and interpreting the results in a way that is meaningful and supportive of the MDO and objectives are

the most important concepts. Through this in-depth, evaluative process, the findings suggest

emerging trends that can be applicable to the future of the Lights Festival.

In 2013, Nielsen predicts US consumer spending will rise during the holidays by 2 percent above last

year’s spending; conversely, 68 percent of consumers say they “still feel like they’re in a recession,”

(Russo). The Lights Festival is situated to better appeal to all consumers by considering such external

factors as well as the consumer insights and findings collected throughout the research process.

Thank you for your partnership,

Nic Icaza Louis Jaime Chloe VerHoef Iris Wen


Initial Proposal: What opportunities are there

to further involve Greater North Michigan Association members during the Lights

Festival?

Revised Proposal:

What opportunities are there to further involve consumers on North Michigan Avenue during the

Lights Festival?

Section 2: Background

Business to Business Partnership

Identification of the research objectives was derived from insights gained during the key informant in-

depth interview, and through feedback provided in the request for information (RFI). To form a

business-to-business partnership with GNMAA, an RFI was generated which detailed the capabilities

as a research partner, and proposed the initial managerial decision opportunity and research

objectives. To finalize the partnership, ‘senior status’ was achieved based off a client-ready request

for proposal (RFP), allowing for the proposed survey to be used as a data collection tool. To generate

data findings, qualitative and quantitative methods were utilized: specifically, Qualtrics (quantitative),

semi-structured observations (qualitative), and the in-depth interview (qualitative). To aid the research

process, Mintel’s Women’s Clothes Shopping report from October 2013, Holiday Shopping report

from July 2013, and State Tourism report from August 2013 were used. Through the State Tourism

report, it was found that women ages 18 to 34 are more likely than men to travel with their spouse,

and more likely to travel with parents or family members (O’Donnell). Through the Holiday Shopping

report, it was found that 37% of people deal with additional holiday expenses by saving money during

the year to spend during the holidays (Erwina). Additionally, Maslow’s Hierarchy of Needs was used

within the survey questions to gain a better understanding of what drives the behaviors of consumers

along The Magnificent Mile (Qualtrics Question Bank).

Managerial Decision Opportunity

The original managerial decision opportunity focused on GNMAA’s members. With the initial proposal

the research objectives focused on identifying the visibility of members leading to and day-of the

festival, investigating members’ desired level of involvement, comparing member involvement to the

market segment activity, the member’s influence on shoppers’ perceptions, and generating ways to

further engage members in the festival. The focus of the initial

proposal stemmed from multiple references to the sponsors’ and

members’ appeal during the festival from the key informant in-depth

interview. However, the initial managerial decision opportunity and

research objectives were altered based on feedback from the

request for information. During the key informant in-depth interview

with GNMAA, questions regarding exposure prior to the event,

social media use, activities during the event, and goals of the

association and its sponsors helped define other opportunities the

research could explore. Other questions were raised regarding the

regulation and accessibility of the festival through various means of

transportation and crowd-control measures as well as GNMAA’s

use of social media to engage with consumers. These opportunities

represent white space outside of the research conducted on behalf

of the revised MDO; such data points were not collected in support

of further engaging Lights Festival attendees but were certainly

relevant to GNMAA’s goals of promoting safety and a more


comfortable, enjoyable, and engaged experience. The ultimate goal of GNMAA is for members and

sponsors to be satisfied and every attendee to leave the event with a lasting impression. When

GNMAA discussed incentives the organization uses to draw people back to the Lights Festival, it

became evident that the changes reflected ways to get consumers more involved. GNMAA discussed

the use of social media as a tool for engagement and the addition of activities to this year’s events.

Corresponding with the revised opportunity, the focus on consumer involvement during the Lights

Festival led to exploration of how exposure during the planning process influence the consumer, how

consumers’ were motivated to participate, how comparisons can be drawn between activity at the

Lights Festival to the overall market, and ways to further engage consumers.

Discovery- Oriented Potential

To formulate a ‘problem,’ feedback was leveraged from the request for information and key informant

in-depth interview with GNMAA. Following the aforementioned, the research utilized exploratory and

descriptive research design to generate data findings. To generate exploratory research findings, a

focus group moderator guide was provided to GNMAA in the request for proposal. The focus group

moderator guide could be used to further generate qualitative data and in-depth insight on the Lights

Festival attendees. Additionally, to generate descriptive research findings, a survey was conducted

on the day of the Lights Festival. Through discovery-oriented research, potential solutions to further

engage consumers along The Magnificent Mile during the Lights Festival were uncovered.

Section 3: Solution

Data Collection Instruments

Focus Group Moderator Guide

The focus group moderator guide was designed to gather primary, qualitative, exploratory data. The

guide was formatted to include three question types: engagement, exploration, and exit. Engagement

questions invoke participants to recall their overall experience, while exploration questions look for

more specific insights from attendees. The exit question gives participants the chance to add any

additional comments regarding their experience that may have not been asked in the prior questions.

All of the questions in the guide are open-ended and respond to one or more research objective, but

emphasize the discovery of evidence to support the following research objectives: identify the visibility

of activities leading to and on the day of the festival; investigate consumers’ desired level of

involvement; and generate ways to further engage consumers in the festival. For instance, the

question “[w]hat kinds of new experiences would you like to see at the Lights Festival?” in the

exploration section will allow for insight on consumers’ desired level of involvement. The engagement

and exploration sections and subsequent questions follow a funnel approach, beginning with more

general questions to acclimate participants to discussion and then narrowing down to more specific

questions that foster deeply engaged discussion.

Qualtrics Survey


Within the Qualtrics survey, there are twenty-two questions overall: eleven nominal, two ordinal,

seven interval, and two ratio type questions. The allocation of question types in the survey

strategically includes only a small number of free response ratio questions. Less reliability is provided

by ratio questions due to the open-ended nature of the responses they gather. Similarly, ordinal

questions allow participants to rank their responses, but neglect to consider the degree of preference

for one selection over another. The survey is made more reliable by including more nominal and

interval scale question types and limiting the number of ordinal and ratio type questions. The

Qualtrics survey includes questions that collected data to respond to each of the four research

objectives. Before the surveys could be administered it was important that the questions were easy to

understand and covered variables relevant to the research objectives and managerial decision

opportunities so the data collected was as “clean” as possible. The first step towards achieving this

was to conduct peer-driven pretests, during which the survey was assessed using the Writing Good

Questions as a guide for edits (Qualtrics). Using this checklist made suggestions to edit or remove

questions. Examples of question errors that were encountered and revised included double-barreled

questions, leading words, and non-exhaustive lists. One such question that was identified and

removed from the survey asked participants to indicate the events they planned on attending before

and after arriving at the Lights Festival, representing a double-barreled question type. Another way

the Qualtrics survey was designed to mitigate erroneous responses was through including exhaustive

response options, such as allowing for multiple response selections as well as allowing for text entry

to cover alternative responses. Within Qualtrics, the skip-logic feature was enabled to skip attendees

from one question to another based on their response to avoid collecting redundant data. Blocking

was another Qualtrics feature that was optimized within the survey, allowing for questions to be

grouped within a section that corresponded with a specific research objective. Lastly, by using the

‘test survey’ feature, 300 pre-tests were conducted in Qualtrics to ensure the survey was free of error

prior to distribution.

Sampling Frame

The sampling frame for the data collection includes individuals eighteen years or older, couples, and

families. The survey data was collected during the day of the Lights Festival on Saturday, November

23, 2013. The data was collected between the times of 8 AM and 6 PM on The Magnificent Mile. The

population under study is the entire body of attendees at the Lights Festival. Because random

sampling was used to collect the survey data, not all population elements had a fair chance to

participate in the research. Attendees to the Lights Festival were randomly approached and asked to

participate in the survey. The quality of the data collection is reflected in the non-bias nature of the

questions and the goal of mitigating participant bailout.

Quality and Validity

Internal validity is difficult to determine through the research as the focus of the data collection was

done on the day of the Lights Festival and may not reflect the behavior of consumers through the

entire holiday season. Due to high traffic within the defined boundary of the festival, the attendees in

the may have faced greater extraneous factors which may influence their expectations or level of

happiness. External validity could have been caused by confounding factors such as poor weather

conditions on the day of the festival, the mood of the attendee, surveys taken by availability of the


attendee, distractions such as children or family that could shift the focus of the attendee and even

the relationship to the researcher giving the survey. While the festival is largely regionalized to nearby

Midwest states, it is a fair representation of those that have interest in attending a holiday festival.

The measurement validity is translated through the operationalized means the research team

conducted the research trough: the attendees of the Lights Festival over the age of eighteen who

willingly participate. Because the survey was organized by research objective, measurements were

specified to the type of questions surveyed. The survey was pre-tested on Qualtrics and by peer

evaluations to clarify measurement validity. By matching assessment measures to the goal and

opportunities, measurement validity increased the reliability of the data collected. The high impact of

internal and external factors could decrease some reliability, a large factor being the mood of the

attendee due to poor weather conditions the day of the Lights Festival and the instinct to complete the

survey as quickly as possible. The research may be under representative of consumers involved on

The Magnificent Mile that were unwilling to participate in the research. The use of incentives (glow

sticks) was one tactic to encourage participants to take and complete the survey. However, the glow

sticks are more child-friendly; thus, there was a bigger incentive for adults with children to participate.

“Ethical Dilemmas”

Ethical dilemmas that might have incurred include limitations in access to the survey, the use of

incentives, and transparency in the survey. The survey was to be conducted electronically and by pen

and paper. Limits in the number of tablets and pens could have limited the number of people that

could possibly take the survey at the same time. While the use of incentives was in alignment with

ESOMAR, this tactic may shed light on the nature of the participant (ESOMAR). Participants of the

survey may have assumed that volunteering to take the survey meant gaining a glow stick. This

possibly skewed the participants’ interest in the survey, therefore decreasing the validity in the

response. While the survey was conducted and the objectives explained to most participants, there

were many that used the incentive and had no interest in the purpose of the research. While market

researchers should ensure that activities are documented accurately, transparently and objectively,

some participants did not care to know why the survey was being conducted. These ethical dilemmas

may have limited the data collected collection process.

Preliminary Steps to Data Analysis

Although the planned data collection method the day of the Lights Festival was the use of surveys

administered using tablets, the weather the day of the festival made the most effective method of data

collection to be using paper copies to administer the survey. The responses needed to be manually

entered from the paper survey into a digital format via Qualtrics before the data could be migrated

from Qualtrics to SPSS. Once all data was entered into Qualtrics, it was then migrated into SPSS

using the following click stream, starting in Qualtrics:

View Results Tab Select Survey Download Data

File Format: SPSS, Data Representation: Values.

The most important step during office edits was coding the data. This required assigning a numeric

value to each text response. SPSS automatically coded some responses because the software


recognizes basic answer formats such as yes or no questions in which SPSS associated the values

as “1” for yes and “2” for no. However, the majority of the data needed to be manually coded

because of the complexity of the question. There were a significant number of questions left

unanswered, resulting in incomplete data sets from the surveys. These unanswered questions in

Qualtrics resulted in system missing or “pindots” when migrated to SPSS. These pindots needed to

be coded to create a clean and complete data set. The system missing responses were re-coded

using the following click stream:

Transform Recode into the Same Variables Select the Variable

Click "Old and New Values" Select "System-Missing" under Old Value

Add the New Value (0= no response) Click Continue Click OK.

To increase ease and efficiency during analysis each question or variable was given a label, which

was the full question text and response text, and a name, which was the question number and the

response formatted as (Q3_shopping). This preliminary step made the analysis of data easier as data

could be found quickly using the name view for variables.

Individual Variables

When analyzing the data collected from Lights Festival surveys two types of analyses were run:

frequency analyses and crosstab analyses. Frequency analysis involves a straight forward count of

occurrence of responses to each question. Although running data crosstabs allow for the discovery of

association between two variables, frequency counts are important because they isolate data from a

single variable. Another advantage to frequency analysis is that the data can be interpreted easily.

Frequency analysis is not measuring any association or relation to other variables, so data

conclusions can be made simply and objectively. Relevant insights can certainly be gained from

analyzing the frequency of occurrence of specific activities or perceptions. The variables or questions

that were most important for frequency analysis were as follows: the frequency of both positive and

negative perceptions to the Lights Festival, the frequency of use and lack of use of media types as a

resource to plan the Lights Festival activities attendance, the frequency of parents, the frequency of

non-parents, the frequency of attendees in specific age groups, and the frequency of attendees in

specific household income groups. A frequency analysis was also run on the Maslow’s Hierarchy of

Needs question to determine the importance of needs and motivators within the daily lives of

attendees. The survey questions that resulted in data critical to measuring the research objectives

were not the same as the questions that appeared most frequently on the Data Analysis Plan

template concerning individual variable analysis. The data collected on the variables that appeared

on the Data Analysis Plan resulted in data that did not lead to significant conclusions when analyzed

in isolation. Regardless, the single question intended to best help identify the visibility of activities was

“After arriving at the Lights Festival, which activities do you now plan on participating in?” To identify

consumers’ desired level of involvement, the question that best answers this was “Please rate how

important the following items are to you in your daily life.” Asking participants for their age was

intended to best respond to comparing involvement of consumers to overall market segment activity.

Finally, to generate ways to further engage consumers, the single most applicable question to answer

this objective was “Of the following, what do you predict your total spending (in dollars) will be on the


day of the Lights Festival?” The questions chosen for individual variable analysis tended to be more

significant when analyzed against other variables as cross-tabs. Many of the frequency analyses

were run on demographic questions which are important to fully understand general qualities the

population attending the Lights Festival and were thus applicable to all research objectives. The

results from the analysis of frequency counts also aided in establishing what variables gave data

significant enough to warrant running that variable against other variables in crosstab analyses.

Frequency counts highlighted groups of survey respondents frequently occurring at the Lights

Festival which served to spark curiosity towards possible associations that could be found by

analyzing two variables in crosstab analyses.

Multiple Variables

The bulk of significant insights gained from the survey data emanated from data analysis considering

multiple variables. Multiple variable results could be compared in table format through the cross-tab

analysis function in SPSS. The results of a cross-tab of two variables showed how respondents that

answered a specific response to one question responded to another question thus determining an

association or lack thereof between the two variables. Under the input file or .sav file a crosstab could

be run using the following click stream:

Analyze tab Descriptive Statistics Crosstabs.

This click stream opened a window in which a variable or question response was selected as the

cross-tab table column and row. The column and row was determined by the historical order of the

variables: the variable occurring first chronologically was the column, and the second variable in

chronological occurrence was the row. When running cross-tabs it was important not to order by

causation but by chronology to ensure output would not reflect bias resulting from expectations the

researcher had about variable association. Within the cross-tab window were links labeled statistics

and cells. Under the statistics link, chi-square was selected to be included in the output; under the

cells link, column percent was selected to be included in the output. The chi-square statistic

measured association between the variables. If the output value for chi-square was less than 0.05,

the cross-tab was significant and statistically associated. Although none of the cross-tabs resulted in

chi-square values below this threshold, possible associations could be gathered from the cross-tab

analyses. One cross-tab analysis run for the first research objective was “Did you use the Holiday

Guide for the Lights Festival?” and “After arriving at the Festival which activities do you now plan on

participating in?” An example of a cross-tab analysis reflective of the second research objective is

“Please rate how important the following items are to you in your daily life” as the column and “After

arriving at the Lights Festival, which activities do you now plan on participating in?” as the row. A

cross-tab for the third research objective was “What is your gender” as the column and “Please rank

the types of activities that would increase your involvement at the Lights Festival” as the row. A final

cross-tab reflective of the fourth research objective was “How many children do you have?” as the

column and “Please rank the types of activities you would be interested in seeing at the Lights

Festival: Artistic” as the row.

Section 4: Conclusion


Once the data collected was compiled into Qualtrics then coded in SPSS, the research team broke up the research objectives by the corresponding cross-tabs mentioned above for an in-depth analysis. Each Research Objective is as follows:

Identify the visibility of activities leading to and day-of the festival


To uncover data findings for the research objective, “Identify the visibility of activities leading to and

day-of the Festival”, six crosstabs and one individual variable were generated from the survey

conducted during the Lights Festival. There individual variables lend valuable insights to GNMAA

because of their relevance to improvement opportunities mentioned during the key informant

interview. Due to the Lights Festival’s dependency on funding from sponsorships, the research team

decided upon uncovering which planning resources consumers most frequently used to select

activities that attendees were going to attend, which Lights Festival activities did consumers plan to

attend before and after arriving to the Lights Festival, and how the Holiday Guide affected consumers,

insights that could further draw funding from sponsors. To discover potential ways to generate

additional visibility for the Lights Festival, the following individual variables and crosstabs were run in

SPSS for the first research objective:

Column Question Row Question

Which media types did you use as a resource to plan the Lights Festival activities you wish to attend?


What is your gender? Which media types did you use as a resource to plan the Lights Festival activities you wish to attend?

What is your gender? Did you use the Holiday Guide for the Lights Festival?

What is your gender? Which media types did you use as a resource to plan the Lights Festival activities you wish to attend?



What is your gender? Did you use the Holiday Guide for the Lights Festival?

What is your gender? After arriving at the Lights Festival, which activities do you now plan on participating in?

What is your gender? Prior to the Lights Festival, which activities did you plan on participating in?

Did you use the Holiday Guide for the Lights Festival? After arriving at the Lights Festival, which activities do you now plan on participating in?

Did you use the Holiday Guide for the Lights Festival? Prior to the Lights Festival, which activities did you plan on participating in?

Did you use the Holiday Guide for the Lights Festival? After arriving at the Lights Festival, which activities do you now plan on participating in?

Resulting from the individual variable, the research concluded that when planning which activities

Lights Festival attendees wished to attend, the three most commonly used resources were the Lights

Festival website (27.4%), social media (23.2%), and television (17.9%). Furthermore, it is shown

through the results that the three least utilized resources for Lights Festival planning were the radio

(9.5%), other (3.2%), and newspaper (2.1%). In addition to the planning resources, the research

findings also portrayed the listed planning types, females utilized and planned more so than males.


Multiple Variables

From prior to after arriving at the Lights Festival, the data findings show that

there was not much variance in the respondents’ planned activities. From

comparing responses asking consumers for their planned activity participation

prior to arrival compared with that of after arrival to the Lights Festival, the

only activities to retain a significant number of these participants were the

Tree Lighting Parade (46.3%), Lights Festival Lane (37.0%), and shopping

(27.8%). In contrast, after arriving, the top three responses from females

shifted to the Tree Lighting Parade (43.4%), Fireworks Spectacular (37.7%),

and lastly shopping (30.2%). While Lights Festival Lane was still listed as the

fourth most preferred activity after arriving (26.4%), the data shows a potential

opportunity for meeting the Lights Festival Lane expectations of female

consumers the day of the Lights Festival.

As the findings indicate, the Holiday Guide played a significant role in the

decision making process of consumers during the Lights Festival. A

relationship is shown through the data that the more activities consumers planned to participate in

prior to the Lights Festival; they became more likely to pick-up a Holiday Guide (84.7%). Once a

consumer picked up a Holiday Guide, the data shows that the number of activities the consumer

planned to participate in increased (84.7%). Furthermore, of the people surveyed that used the

Holiday guide, 80.8% of them identify as female, while only 19.2% identify as male. An insight gained

from the data findings is that making an impact on consumers before arriving to the Lights Festival is

crucial to what activities they plan to participate in. This finding is supported by “Prior to the Lights

Festival, which activities did you plan on participating in?” question, and “After arriving at the Lights

Festival, which activities do you now plan on participating in?”, both equaling 84.7% when picking up

a Holiday Guide at the Lights Festival. Additionally, when researching and planning Lights Festival

activities, a majority of the work is done by female consumers (females: 66.7% vs. males: 33.3%).

Investigate consumers’ desired level of involvement


From the question regarding Maslow’s Hierarch of Needs in the results, 35.0% of respondents rated self-fulfillment and excitement as being very important in their daily lives. Closely above that, 36.7% rated fun and enjoyment and sense of accomplishment as very important. The significance of these frequencies emerges in the associated behaviors—such as participation in particular kinds of seasonal activities—resulting from the consumers’ specific motivators.

Multiple Variables

From the survey data, one appropriate method to investigate consumers’ desired levels of

involvement was to analyze motivators in their daily lives based on Maslow’s Hierarchy of Needs and

to observe associations these findings share with attendee participation in different Lights Festival

activities. One cross tab produced the following results: of consumers who rate excitement as very


important in their daily lives as important or very important, respectively 87.5% and 81.0% did not

plan on participating in in-store events. Similarly, the 2012 GNMAA survey data reflects a lack of

current involvement in in-store events. The question asked participants to indicate what activities

participants would be participating in the day of the Lights Festival. Events in-store ranked last of six

choices with only 30.0% of respondents choosing that option. The Tree Lighting Parade was the top

choice for this question, with 78.0% of respondents indicating that he/she attended or planned on

attending. Only 8.0% of this year’s respondents who were very satisfied with the Lights Festival

placed in-store events in his/her top three activities. Conversely, of consumers who find excitement

very important in their daily lives, 61.9% intend on shopping along The Magnificent Mile either

frequently or very frequently during the holiday season. These findings show a discrepancy between

the shopping related activities consumers plan on participating in during the Lights Festival versus

during the holiday season in direct relation to the motivators for activities such as shopping.

For those who found having a sense of accomplishment very important, 90.3% did not plan on

participating in the BMO Harris Bank Community Art Project. 72.7% of those who indicated that fun

and enjoyment is very important in their daily lives did not plan on attending the BMO Harris Bank

Stage after arriving, while 43.3% of participants ranked music in the top three types of activities with

potential to increase his/her involvement at the Lights Festival. Satisfaction was another significant

reference point which indicated an association to festival activities that attendees planned on

participating in. 12.0% of Lights Festival attendees who were very satisfied with his/her overall

experience placed the BMO Harris Bank Stage in his/her top three favorite activities, while 52.0%

placed the Tree Lighting Parade in the top three. 64% of attendees who were very satisfied with their

experience at the Lights Festival indicated that they would like for his/her experience on the day of

the festival to be described as “family oriented” while 52% wanted their experience to be described as

interactive. What this data shows is that the intended involvement in particular activities (e.g. music,

in-store and interactive events) along The Magnificent Mile and at Lights Festivals during the holidays

and in years to come surpasses the current level of involvement in related Lights Festival activities.

The findings can be interpreted to suggest that these consumers want their time during the holiday

season to be family oriented and interactive, engaging in events such as shopping and hearing

music. While these events received lower favorability in relation to other Lights Festival activities,

consumers expressed possibilities for deeper involvement in the Lights Festival by expanding in

these areas.

Compare involvement of consumers’ to overall market segment activity


The primary data shows that 60% of attendees at the Lights Festival are women and 32% are men

(the remaining 8% responded prefer not to answer). With almost half of the participants having

children (48% with children, 43% with no children, 9% prefer not to answer). Over 50% of attendees

were from the Cook County area in Illinois while the remainder showed scattered residence in

Michigan, Indiana, and counties in Illinois just outside of Cook County.

Multiple Variables

Although the data shows that there was a high volume of women at the festival, according to ESPN

Research and Analytics, it has been recently discovered that for adults between the ages of 18 to 54,


33% of men surveyed consider themselves the primary shopper for the household (Berg). It can also

be observed that not only do men outspend women during almost every annual holiday, but men also

tend to be faster, more direct shoppers. However, from the primary data that was heavy with women

respondents, it can be said that shopping was an activity 40.9% of women said would increase their

involvement at the Lights Festival, compared to 10% of men. According to Mintel’s Holiday Shopping

report, 64% of big-ticket holiday purchases are browsed and purchased in-person at a store. An

effective way to engage with a large proportion of consumers includes using coupons during the

holiday season and advertisements that promote in-store sales (Erwina). Because in-store displays

still play a prominent communication device, in-store events tend to show an increase in sales. 100%

of respondents that ranked shopping as the most enjoyable Lights Festival activities were women,

which is reflective of women’s appeal for the right mix of style and affordability. According to Mintel’s

Women’s Clothes Shopping report, the number one reason women buy clothes is because the stores

was having a sale, this reason is closely followed by replacing something old or worn out, and there

was no particular reason but they saw something they liked and bought it (Lipson, Women’s Clothes

Shopping). To emphasize the draw of sales and special offers in-stores, 46% of parents usually wait

for sales to buy their children’s clothing; 37% of parents buy children’s clothing at stores they were

not planning to shop at because of sales and special offers (Lipson, Children’s Clothes Shopping).

From the primary data, the research team found that 33.3% of participants planned to shop and go to

in-store events after their arrival to the festival. Of the 33.3%, 4.2% of participants planned to go to in-

store events prior to their arrival. Almost half the people who planned on attending in-store events

prior to his/her arrival actually went. Of the people who did not plan to go to in-store events prior to

his/her arrival, 13.2% ended up going to in-store events after arriving. Of the attendees planning to

participate in in-store events after arriving, 60.0% were women, while 67.7% of attendees planning on

shopping were women. From observations made on the day, everyone generally seemed interested

in shopping and in the special deals going on the day of the event. From talking to survey participants

or families of the survey participants, many people that went shopping found deals by walking up to

greeters at stores and getting offered a deal which drew them in.

From the results, just over 40% of attendees came to the Lights Festival from outside Cook County:

specifically bordering states such as Michigan and Indiana. Because domestic travel contributes to

the profitability of the Lights Festival in Chicago, there is data that supports a demanding market for

affordable travel especially for families. Typical domestic travel companions include immediate family

(O’Donnell). Domestic travel of more than 100 miles away (one way) is relevant across different

marital status and age groups: although there is almost three-fourths of domestic travel for vacation

by married people over the age of 55. The large draw that comes with a domestic destination is a

unique experience (O’Donnell). Events like the Lights Festival would be considered a vacation

experience that an attendee couldn’t get anywhere else, as well as local scenery, culture, and dining

experiences that cannot be provided elsewhere. While Chicago is already the third-largest

metropolitan in the United States, the marketing efforts of the Lights Festival have the potential to

reach the larger market for state tourism (United States).


Generate ways to further engage consumers in the festival


The primary data from individual variable analysis showed print was not frequently being used as a

resource to plan Lights Festival engagement in activities. Of the sixty respondents to the question

“What types of media did you use as a resource to plan your Lights Festival activities?” fifty-eight did

not select print as a resource they used. The data suggests print is not being used, thus it may not be

economical to allocate resources towards print. This is not the most insightful information given that

print has been a dying industry since the conception of the PC and the availability of the internet. The

primary data from individual variable analysis also shows attendees were not particularly interested in

seeing informational activities at the festival. Fourteen out of thirty survey takers who responded to

the question, “How well do the following describe activities you would be interested in seeing at the

Lights Festival?” responded poorly or neutral when the adjective was informational. The data

suggests there is not a substantial desire from attendees to include more informational events at the

Festival.

Multiple Variables

Under the hypothesis that there may be some association between Lights Festival attendees who

read business reviews and the types of activities they’re interested in, several cross-tabs were run

addressing this possibility. The data shows over half of the survey respondents who responded

affirmatively to reading business reviews also responded that “interactive” described very well

activities he/she would like to see at the Lights Festival. The data suggests that the people attending

the Lights Festival who are interested in seeing interactive activities are also reading reviews. There

may be an opportunity to increase attendee engagement by increasing reviews about interactive

activities. There would be other variables playing into this scenario, for example in forming this

conclusion it is also logical to assume the reviews of the interactive events would need to be positive

to encourage people to engage. In contrast the data shows that people who said “creative” described

activities they’d want to see well or very well did not read business reviews at the same frequency as

those responding very well and well to “interactive”. Of the nineteen survey takers who responded

very well or well to “creative” as a description of activities they’d like to see at the Festival, twelve did

not respond affirmatively to reading business reviews. This data cross-tab suggest that people who

are interested in seeing creative activities at the Festival are not reading reviews at a high occurrence

thus reviews may not be the best tool for increasing engagement in creative activities. A limitation of

this data insight is the response rate to the business review reader variable. Twenty survey takers

responded affirmatively to reading business reviews which gives a very small sample to compare

against desired activity involvement.

An interesting insight gained from primary data analyzed as a cross tab was the potential association

between non-parent attendees and an interest in live music. The cross tab that suggested this

involved the variable, “How many children do you have?” in the column and the “Live Music” rankings

for the question “Rank the types of activities you’d be interested in seeing at the Lights Festival?”

Respondents with zero children ranked live music high compared to respondents with children. Of the

respondents with no children, eighteen out of twenty-two ranked live music at three or above. This

means eighty-two percent of the non-parent sample ranked live music in the top three activities they


would be interested in seeing at the Festival. The data suggests there may be an opportunity to

further involve non-parent adults in the festival by including more musicians targeting adults without

children.

The results from the cross-tab analyzing a possible association between non-parents and interest in

live music sparked curiosity to further investigate non-parents vs. parents and how that could be

associated with interest in activities. An insight came from the cross tab ranking interest level towards

“artistic” activities and respondents without children. People who responded to having zero children

ranked artistic low; sixteen out of twenty-two respondents without children, ranked artistic at four or

below. The data suggests there is more of an opportunity to gear art projects towards children and/or

parents rather than childless adults. A limitation to this insight is that it cannot be supported by other

related data collected. Although respondents without children ranked creativity low, respondents with

children didn’t rank artistic particularly high. Another data cross-tab supporting this conclusion

compared the interest in seeing adult focused activities at the Festival to those planning to attend the

BMO Harris Bank stage. Of the twenty-two respondents who classified “adult focused” as describing

activities he/she would like to see at the festival well and very well, eight responded that they planned

on visiting the BMO Harris Bank stage. This data suggests that people desiring adult-focused

activities are not frequently attending the BMO Harris Bank Stage. This could be based on a

perception of the BMO Harris Bank Stage as non adult-focused.

Conclusion to Analysis

The primary data reflects trends in participation during the Lights Festival. Valid and reliable

recommendations can be communicated based on the trends in the data. For example, females

played a larger influence in the planning process, and the more resources available to plan activities

increased participation. Female-interest drove the majority of the activities. People who did not have

children felt a stronger interest in live music and incorporating creativity into the activities, since this

was roughly half of the sampled population, it can be noted that their highest participation was as

expected in the Tree Lighting parade. Some of the actual findings can be applicable beyond the day

of the festival such as which types of activities stemmed the most interest, as well as which type of

activities showed the most interest and the most participation. This could be applicable to other

holiday festivals similar to the Lights Festival, and could be reflective of the marketable activities.

Though the data may seem regionalized, it would be applicable to other festival or free-public

activities put on by non-profit organizations that want a similar outcome and a long-term outstanding

reputation Other generalizations that can be made are that the Holiday Guide results in higher

participation from consumers much like how consumer interest can be gained through knowledge.

Also the choice in music affects the audience that is present. However, for the most part, the research

has limited application to GNMAA due to the specific events listed at the festival.

Limitations to the methodology

Sources of error innate to the methodology were found when the Qualtrics survey was translated to

paper copies. The survey was initially optimized for tablet/online use; on the day of the festival,

attendees preferred to take the paper survey over the online version. This decreased the reliability of


some of questions that were meant to be more interactive-- the final survey included drag-and-drop

and ranking questions that could not easily be completed on paper. The use of paper surveys also

meant that values may have not been recorded as accurately as they would have been had an online

survey been distributed. When online surveys were conducted, participants quickly became

frustrated because of slow internet connections. Overall, willing participants were found at the center

of the festival at Pioneer Court; these participants were more willing than others situated outside of

the area to take the survey, likely because of lines formed for Lights Festival Lane tents. Another

limiting factor in the collection of data was the use of glow sticks as an incentive. Glow sticks did not

always appeal to potential survey candidates. When the glow sticks did act as an incentive, it was

short-lived due to the limited supply of glow sticks. The most immediate factor in the sources of error

was the cold weather the day of the festival. This caused attendees to be short-tempered, easily-

agitated, and unwilling to take the survey because it meant hands would be exposed to the bitter chill.

In conjunction with the cold weather, participants responded negatively towards the length of the

survey and allocation of question types (e.g. multiple response, rank).


Section 5: Works Cited

Berg, Meredith Derby. "Men Outspend Women During Holiday Season: ESPN Survey."Advertising Age. Ad

Age, 27 Nov. 2013. Web. 17 Dec. 2013.

Erwina, Ika. Holiday Shopping- U.S. Rep. Mintel Group Ltd., July 2013. Web. 13 Dec. 2013.

ESOMAR. International Chamber of Commerce. ICC/ESOMAR International Code on Market and Social

Research. N.p.: n.p., 2007. Print.

Lipson, Alison. Women's Clothes Shopping- U.S. Rep. Mintel Group Ltd., Oct. 2013. Web. 13 Dec. 2013.

Lipson, Alison. Children's Clothes Shopping- U.S. Rep. Mintel Group Ltd., Nov. 2013. Web. 13 Dec. 2013.

O'Donnell, Fiona. State Tourism- U.S. Rep. Mintel Group Ltd., Aug. 2013. Web. 13 Dec. 2013.

Russo, James. "'Tis the Season to Be Fiscally Cautious." Nielsen. Nielsen, 4 Nov. 2013. Web. 5 Dec. 2013.

United States. Census Bureau. Department of Commerce. Guide to State and Local Census Geography.

United State Census Bureau, Apr. 2011. Web. 13 Dec. 2013.


Section 6: Appendix: Visuals and Examples

Appendix Table of Content

Item 1: Qualtrics Survey………………………………………..……………....19-23

Item 2: SPSS Data Output File…………………………………………….….24-269

Item 3: Field Notes from Key Informant Interview………………………....270-272

Item 4: Focus Group Moderator Guide…………………………………………...273

Item 5: Semi-Structured Observations………………………………………274-275

Item 6: Client Round Table Content……………………………………………...276

Item 7: Resumes

A. Nic Icaza………………………………………………………………....278

B. Louis Jaime……………………………………………………........279-280

C. Chloe VerHoef………………………………………………...………...281

D. Iris Wen …………………………………………………………………282


Appendix item 1: Qualtrics Survey MARK 311 Survey-- GNMAA Final

Q1 We're Loyola University students conducting research on behalf of The Magnificent Mile Lights

Festival. Thank you for taking the time to help out with the development of The Magnificent Mile and the

Lights Festival. Let's get this survey rolling!

Q2 Prior to the Lights Festival, which activities did you plan on participating in? (Select all that apply)

Lights Festival Lane

BMO Harris Bank Stage

Tree Lighting Parade

Fireworks Spectacular

In-Store Events

Shopping

Canned Food Drive

Holiday Carol

BMO Community Art Project

Other ____________________

Q3 After arriving at the Lights Festival, which activities do you now plan on participating in? (Select all that

apply)

Lights Festival Lane

BMO Harris Bank Stage

Tree Lighting Parade

Fireworks Spectacular

In-Store Events

Shopping

Canned Food Drive

Holiday Carol

BMO Community Art Project

Other ____________________

Q4 How well do the following items describe other activities you would be interested in seeing at the Lights

Festival?

Very Well Well NeutralPoorly Very Poorly

______ Interactive ______ Interactive ______ Interactive ______ Interactive ______ Interactive

______ Adult focused ______ Adult focused ______ Adult focused ______ Adult focused ______ Adult focused

______ Family oriented ______ Family oriented ______ Family oriented ______ Family

oriented ______ Family oriented

______ Social ______ Social ______ Social ______ Social ______ Social

______ Contests ______ Contests ______ Contests ______ Contests ______ Contests

______ Games ______ Games ______ Games ______ Games ______ Games

______ Informational ______ Informational ______ Informational ______ Informational ______ Informational

______ Creative ______ Creative ______ Creative ______ Creative ______ Creative


______ Other ______ Other ______ Other ______ Other ______ Other

Q5 Did you use the Holiday Guide for the Lights Festival?

Yes

No

Q25 During the holiday season, which business types do you shop at most frequently? (1 being the most

frequent, and 8 being the least)

______ Apparel

______ Electronics

______ Entertainment (e.g. music & movies)

______ Food and beverage

______ Health and beauty

______ Sporting goods

______ Retail

______ Online (e.g. Ebay, Amazon, Groupon)

Q26 Do you use social media for reviews?

For products I leave product reviews I read product reviews Not Applicable

For businesses I leave business reviews I read business reviews Not

Applicable

Q27

Q28 By using the options provided, please indicate how frequently through the holiday season you plan on

engaging in the following activities, along The Magnificent Mile.

Shopping Very Infrequently Infrequently Neither Frequently

Very Frequently

Dining Very Infrequently Infrequently Neither Frequently Very

Frequently

Sightseeing Very Infrequently Infrequently Neither Frequently

Very Frequently

Theater Very Infrequently Infrequently Neither Frequently

Very Frequently

Live Music Very Infrequently Infrequently Neither Frequently

Very Frequently

Museums Very Infrequently Infrequently Neither Frequently

Very Frequently

Lodging Very Infrequently Infrequently Neither Frequently

Very Frequently


Q29 How long do you plan on spending at each of the following Lights Festival events?

______ Lights Festival Lane

______ BMO Harris Bank Stage

______ Tree Lighting Parade

______ Fireworks Spectacular

______ In-Store Events

______ Shopping

______ Holiday Carol

______ BMO Community Art Project

Q30 Please rank the following Lights Festival activities in order of enjoyment (1 being the most enjoyable and 9

being the least enjoyable).

______ Canned Food Drive

______ Lights Festival Lane

______ BMO Harris Bank Stage

______ Tree Lighting Parade

______ Fireworks Spectacular

______ In-Store Events

______ Shopping

______ Holiday Carol

______ BMO Community Art Project

Q31 Please rate how important the following items are to you in your daily life (1 star being the least important

and 5 stars being the most important).

______ Sense of belonging

______ Fun and enjoyment

______ Warm relationships with others

______ Self-fulfillment

______ Being well respected

______ Excitement

______ Sense of accomplishment

______ Security

______ Self-respect

Q32 After today, you would like for your Lights Festival experience to be described as: (Select all that apply)

Family oriented

Interactive

Creative

Social

Informational

Fulfilling

Secure

Other ____________________


Q33

Q34 Of the following items, what do you predict your total spending (in dollars) will be on the day of the Lights

Festival?

______ Dining

______ Shopping

______ Lodging

______ Sightseeing

______ Other

Q35 Which media types did you use as a resource to plan the Lights Festival activities you wish to attend?

(Select all that apply)

Television

Radio

Word of mouth

Social media

Lights Festival website

Print (magazine or newspaper)

Other ____________________

Q36 Please rank the types of activities that would increase your involvement at the Lights Festival (1 describing

the activity that would increase your involvement the most, and 5 increasing your involvement the least).

______ Shopping

______ Dining

______ Live Music

______ Sightseeing

______ Artistic

______ Informational

______ Other

Q37 What is your perception of the Lights Festival?

1

2

3

4

5

Q38 If possible, we would like to ask you a few personal questions. Please note: you will not be associated with

any of your responses, and you will be able move past any questions that you do not wish to answer.

Q39 How old are you?

18-25


26-34

35-54

55-64

65 or over ____________________

Q40 What is your race?

White/Caucasian

Black

Hispanic

Asian

Native American

Pacific Islander

Other

Q41 What is your gender?

Male

Female

Q42 How many children do you have?

0

1

2

3

4

5

6

7+

Q43 What is your ZIP code?

Q44 Please indicate your current household income.

Less than $20,000

$20,000 to $39,999

$40,000 to $59,999

$60,000 to $79,000

$80,000 to $99,999

$100,000 or more

Prefer not to answer

Q45 Thank you for participating in our survey! Please enjoy the Lights Festival and have a wonderful Holiday

Season!


Appendix item 2: SPSS Data Output File 1. GET

2. FILE='C:\Temp\Temp1_MARK_311_Survey_Complete.zip\MARK_311_Survey_Complete.sav'.

3. DATASET NAME DataSet1 WINDOW=FRONT.

4. ADD FILES /FILE=*

5. /FILE='C:\Users\nicaza\Desktop\MARK_311_Survey_GNMAA_Final.sav'.

6. EXECUTE.

7. MULT RESPONSE GROUPS=$Prior_to (Q2_1 Q2_2 Q2_3 Q2_4 Q2_5 Q2_6 Q2_7 Q2_8 Q2_9 Q2_10

(1))

8. /VARIABLES=Q42(1 2)

9. /TABLES=Q42 BY $Prior_to

10. /BASE=CASES.

11.

12.

13.

14. Notes

Output Created 26-NOV-2013 20:42:08

Comments

Input

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 60

Missing Value Handling

Definition of Missing User-defined missing values are

treated as missing.

Cases Used

Statistics for each table are

based on all the cases with valid

data in the specified range(s) for

all variables in each table.

Syntax

MULT RESPONSE

GROUPS=$Prior_to (Q2_1

Q2_2 Q2_3 Q2_4 Q2_5 Q2_6

Q2_7 Q2_8 Q2_9 Q2_10 (1))

/VARIABLES=Q42(1 2)

/TABLES=Q42 BY $Prior_to

/BASE=CASES.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.02

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Resources

Processor Time 00:00:00.02


Dimensions Requested 2

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54.

55. RECODE Q2_1 Q2_2 Q2_3 Q2_4 Q2_5 Q2_6 Q2_7 Q2_8 Q2_9 Q2_10 (SYSMIS=0).

56. EXECUTE.

57. RECODE Q2_1 Q2_2 Q2_3 Q2_4 Q2_5 Q2_6 Q2_7 Q2_8 Q2_9 Q2_10 Q3_1 Q3_2 Q3_3 Q3_4 Q3_5

Q3_6 Q3_7 Q3_8 Q3_9 Q3_10 Q4_2_Group Q4_2_Rank Q4_3_Group Q4_3_Rank Q4_4_Group

Q4_4_Rank Q4_5_Group Q4_5_Rank Q4_6_Group Q4_6_Rank Q4_7_Group Q4_7_Rank Q4_8_Group

Q4_8_Rank Q4_9_Group Q4_9_Rank Q4_10_Group Q4_10_Rank Q5 Q25_1 Q25_2 Q25_3 Q25_4 Q25_5


Q25_6 Q25_7 Q25_8 Q26_1_1 Q26_1_2 Q26_1_3 Q26_2_1 Q26_2_2 Q26_2_3 Q27 Q28_1 Q28_2 Q28_3

Q28_4 Q28_5 Q28_6 Q28_7 Q29_1 Q29_2 Q29_3 Q29_4 Q29_5 Q29_6 Q29_7 Q29_8 Q30_9 Q30_x1

58. Q30_x2 Q30_x3 Q30_x4 Q30_x5 Q30_x6 Q30_x7 Q30_x8 Q31_1 Q31_2 Q31_3 Q31_4 Q31_5 Q31_6

Q31_7 Q31_8 Q31_9 Q32_1 Q32_2 Q32_3 Q32_4 Q32_5 Q32_6 Q32_7 Q32_8 Q33 Q34_6 Q34_7 Q34_8

Q34_9 Q34_10 Q35_1 Q35_2 Q35_3 Q35_4 Q35_5 Q35_6 Q35_7 Q36_1 Q36_2 Q36_3 Q36_4 Q36_5

Q36_6 Q36_7 Q37 Q38 Q39 Q40 Q41 Q42 (SYSMIS=0).

59. EXECUTE.

60. RECODE Q44 Q45 (SYSMIS=0).

61. EXECUTE.

62. MULT RESPONSE GROUPS=$Prior_to (q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 q2_10 (1))

63. /FREQUENCIES=$Prior_to.

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q2_7 q2_8 q2_9 q2_10 (1))

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Output Created 01-DEC-2013 18:06:10

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Data C:\Temp\MARK_311.sav


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(Q35_1 Q35_2 Q35_3 Q35_4

Q35_5 Q35_6 Q35_7 (1))

/VARIABLES=Q44(1 7)

/TABLES=$Which_Media_Typ

es BY Q44

/CELLS=TOTAL

/BASE=CASES.



89.

90.

91. Notes


Comments


Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

/VARIABLES=Q35_5(0 1)

Q44(1 7)

/TABLES=Q35_5 BY Q44

/CELLS=TOTAL

/BASE=CASES.



92.

93.

94. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE



Q2_3 Q2_4 Q2_5 Q2_6 Q2_7

Q2_8 Q2_9 Q2_10 (1))

/VARIABLES=Q5(0 1)

/TABLES=Q5 BY

$After_arriving

/CELLS=TOTAL

/BASE=CASES.



95.

96.

97. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

MULT RESPONSE



Q3_3 Q3_4 Q3_5 Q3_6 Q3_7

Q3_8 Q3_9 Q3_10 (1))

/VARIABLES=Q5(0 1)

/TABLES=Q5 BY

$After_arriving

/CELLS=TOTAL

/BASE=CASES.



98.

99.

100. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE



Q3_3 Q3_4 Q3_5 Q3_6 Q3_7

Q3_8 Q3_9 Q3_10 (1))

/VARIABLES=Q5(0 1)


Q5

/CELLS=TOTAL

/BASE=CASES.



101.

102.

103. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_6 BY Q5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





104.

105.

106. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_3 BY Q5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT TOTAL

/COUNT ROUND CELL.

Resources





107.

108.

109. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS

/TABLES=Q3_3 BY Q5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





110.

111. MULT RESPONSE GROUPS=$Prior 'Prior' (Q2_1 Q2_2 Q2_3 Q2_4 Q2_5 Q2_6 Q2_7 Q2_8 Q2_9

Q2_10 (1))


113. /TABLES=$Prior BY Q5

114. /CELLS=TOTAL

115. /BASE=CASES.

116.

117.

118.

119.

120. Multiple Response

121.

122.

123. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE


Q2_2 Q2_3 Q2_4 Q2_5 Q2_6

Q2_7 Q2_8 Q2_9 Q2_10 (1))

/VARIABLES=Q5(0 1)


/CELLS=TOTAL

/BASE=CASES.



124.


125.

126. [DataSet1] C:\Temp\MARK_311.sav

127.

128.

129. Case Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

$Prior*Q5 26 43.3% 34 56.7% 60 100.0%

130.

131. $Prior*Q5 Crosstabulation

Did you use

the Holiday

Guide for

the Lights

Festival?

No

Priora

Prior to the Lights Festival, which activities did you plan on participating in?

(Select all that ap...-Lights Festival Lane

Count 3

% of Total 11.5%


(Select all that ap...-BMO Harris Bank Stage

Count 1

% of Total 3.8%


(Select all that ap...-Tree Lighting Parade

Count 2

% of Total 7.7%


(Select all that ap...-Fireworks Spectacular

Count 1

% of Total 3.8%


(Select all that ap...-In-Store Events

Count 0

% of Total 0.0%


(Select all that ap...-Shopping

Count 0

% of Total 0.0%


(Select all that ap...-Canned Food Drive

Count 0

% of Total 0.0%


(Select all that ap...-Holiday Carol

Count 0

% of Total 0.0%


(Select all that ap...-Other

Count 1

% of Total 3.8%

Total Count 4

% of Total 15.4%

132.

$Prior*Q5 Crosstabulation

Did you use

the Holiday

Guide for the

Lights

Festival?

Yes

Priora



Count 14

% of Total 53.8%



Count 7

% of Total 26.9%



Count 17

% of Total 65.4%



Count 8

% of Total 30.8%




Count 3

% of Total 11.5%



Count 11

% of Total 42.3%



Count 1

% of Total 3.8%



Count 1

% of Total 3.8%



Count 1

% of Total 3.8%

Total Count 22

% of Total 84.6%

133.


Total

Priora

Prior to the Lights Festival, which activities did you plan on participating in? (Select

all that ap...-Lights Festival Lane

Count 17

% of Total 65.4%


all that ap...-BMO Harris Bank Stage

Count 8

% of Total 30.8%


all that ap...-Tree Lighting Parade

Count 19

% of Total 73.1%


all that ap...-Fireworks Spectacular

Count 9

% of Total 34.6%


all that ap...-In-Store Events

Count 3

% of Total 11.5%


all that ap...-Shopping

Count 11

% of Total 42.3%


all that ap...-Canned Food Drive

Count 1

% of Total 3.8%


all that ap...-Holiday Carol

Count 1

% of Total 3.8%


all that ap...-Other

Count 2

% of Total 7.7%

Total Count 26

% of Total 100.0%

134.

Percentages and totals are based on respondents.

a. Dichotomy group tabulated at value 1.

135.

136. CROSSTABS

137. /TABLES=Q2_3 BY Q5

138. /FORMAT=AVALUE TABLES

139. /STATISTICS=CHISQ

140. /CELLS=COUNT COLUMN

141. /COUNT ROUND CELL.

142.

143.

144.

145. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q2_3 BY Q5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





146.

147.

148. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE


Q2_2 Q2_3 Q2_4 Q2_5 Q2_6

Q2_7 Q2_8 Q2_9 Q2_10 (1))

$Which_Media_Types

'Which_Media_Types' (Q35_1

Q35_2 Q35_3 Q35_4 Q35_5

Q35_6 Q35_7 (1))

/TABLES=$Prior BY

$Which_Media_Types

/CELLS=TOTAL

/BASE=CASES.



149.

150.

151. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q2_3 BY Q35_5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





152.

153.

154.


156.

157.

158. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE



Q3_3 Q3_4 Q3_5 Q3_6 Q3_7

Q3_8 Q3_9 Q3_10 (1))

/VARIABLES=Q5(0 1)


Q5

/CELLS=TOTAL

/BASE=CASES.



159.


160.


162.

163.

164. Case Summary

Cases

Valid Missing Total


$After_arriving*Q5 26 43.3% 34 56.7% 60 100.0%

165.

166. $After_arriving*Q5 Crosstabulation

Did you use

the Holiday

Guide for

the Lights

Festival?

No

After_arrivinga

After arriving at the Lights Festival, which activities do you now plan on

participating in? (Select...-Lights Festival Lane

Count 4

% of Total 15.4%


participating in? (Select...-BMO Harris Bank Stage

Count 1

% of Total 3.8%


participating in? (Select...-Tree Lighting Parade

Count 2

% of Total 7.7%


participating in? (Select...-Fireworks Spectacular

Count 2

% of Total 7.7%


participating in? (Select...-In-Store Events

Count 0

% of Total 0.0%


participating in? (Select...-Shopping

Count 0

% of Total 0.0%


participating in? (Select...-Canned Food Drive

Count 0

% of Total 0.0%


participating in? (Select...-Holiday Carol

Count 0

% of Total 0.0%


participating in? (Select...-BMO Community Art Project

Count 0

% of Total 0.0%


participating in? (Select...-Other

Count 0

% of Total 0.0%

Total Count 4

% of Total 15.4%

167.

$After_arriving*Q5 Crosstabulation

Did you use

the Holiday

Guide for

the Lights

Festival?

Yes

After_arrivinga



Count 7

% of Total 26.9%



Count 7

% of Total 26.9%



Count 17

% of Total 65.4%




Count 13

% of Total 50.0%



Count 6

% of Total 23.1%



Count 15

% of Total 57.7%



Count 3

% of Total 11.5%



Count 3

% of Total 11.5%



Count 2

% of Total 7.7%



Count 1

% of Total 3.8%

Total Count 22

% of Total 84.6%

168.


Total

After_arrivinga



Count 11

% of Total 42.3%



Count 8

% of Total 30.8%



Count 19

% of Total 73.1%



Count 15

% of Total 57.7%



Count 6

% of Total 23.1%



Count 15

% of Total 57.7%



Count 3

% of Total 11.5%



Count 3

% of Total 11.5%



Count 2

% of Total 7.7%



Count 1

% of Total 3.8%

Total Count 26

% of Total 100.0%

169.



170.

171. CROSSTABS

172. /TABLES=Q5 BY Q3_3






177.

178.

179.

180. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q5 BY Q3_3

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





181.

182.

183. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q5 BY Q3_6

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





184.


185.

186.


188.

189.

190. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE


Q2_2 Q2_3 Q2_4 Q2_5 Q2_6

Q2_7 Q2_8 Q2_9 Q2_10 (1))

/VARIABLES=Q41(4 5)


/CELLS=TOTAL

/BASE=CASES.



191.

192.


194.

195.

196. Case Summary

Cases

Valid Missing Total


$Prior*Q41 54 90.0% 6 10.0% 60 100.0%

197.

198. $Prior*Q41 Crosstabulation

What is

your

gender?

Male

Priora



Count 9

% of Total 16.7%



Count 8

% of Total 14.8%



Count 12

% of Total 22.2%




Count 7

% of Total 13.0%



Count 3

% of Total 5.6%



Count 9

% of Total 16.7%



Count 0

% of Total 0.0%



Count 1

% of Total 1.9%



Count 2

% of Total 3.7%

Total Count 18

% of Total 33.3%

199.


What is your

gender?

Female

Priora



Count 20

% of Total 37.0%



Count 10

% of Total 18.5%



Count 25

% of Total 46.3%



Count 11

% of Total 20.4%



Count 4

% of Total 7.4%


all that ap...-Shopping

Count 15

% of Total 27.8%



Count 2

% of Total 3.7%



Count 1

% of Total 1.9%



Count 3

% of Total 5.6%

Total Count 36

% of Total 66.7%

200.


Total

Priora



Count 29

% of Total 53.7%



Count 18

% of Total 33.3%



Count 37

% of Total 68.5%



Count 18

% of Total 33.3%



Count 7

% of Total 13.0%

Prior to the Lights Festival, which activities did you plan on participating in? (Select Count 24


all that ap...-Shopping % of Total 44.4%



Count 2

% of Total 3.7%



Count 2

% of Total 3.7%



Count 5

% of Total 9.3%

Total Count 54

% of Total 100.0%

201.



202.

203. CROSSTABS






209.

210.

211.

212. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q2_3 BY Q41

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





213.

214.

215.


217.


218.

219. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE



Q3_3 Q3_4 Q3_5 Q3_6 Q3_7

Q3_8 Q3_9 Q3_10 (1))

/VARIABLES=Q41(4 5)


Q41

/CELLS=TOTAL

/BASE=CASES.



220.

221.


223.

224.

225. Case Summary

Cases

Valid Missing Total


$After_arriving*Q41 53 88.3% 7 11.7% 60 100.0%

226.

227. $After_arriving*Q41 Crosstabulation

What is

your

gender?

Male

After_arrivinga



Count 8

% of Total 15.1%



Count 6

% of Total 11.3%



Count 11

% of Total 20.8%



Count 7

% of Total 13.2%



Count 4

% of Total 7.5%




Count 7

% of Total 13.2%



Count 0

% of Total 0.0%



Count 0

% of Total 0.0%



Count 0

% of Total 0.0%



Count 1

% of Total 1.9%

Total Count 17

% of Total 32.1%

228.


What is

your

gender?

Female

After_arrivinga



Count 14

% of Total 26.4%



Count 9

% of Total 17.0%



Count 23

% of Total 43.4%



Count 20

% of Total 37.7%



Count 6

% of Total 11.3%



Count 16

% of Total 30.2%



Count 4

% of Total 7.5%



Count 4

% of Total 7.5%



Count 3

% of Total 5.7%



Count 4

% of Total 7.5%

Total Count 36

% of Total 67.9%

229.


Total

After_arrivinga



Count 22

% of Total 41.5%



Count 15

% of Total 28.3%



Count 34

% of Total 64.2%



Count 27

% of Total 50.9%



Count 10

% of Total 18.9%




Count 23

% of Total 43.4%



Count 4

% of Total 7.5%



Count 4

% of Total 7.5%



Count 3

% of Total 5.7%



Count 5

% of Total 9.4%

Total Count 53

% of Total 100.0%

230.



231.

232. CROSSTABS






238.

239.

240.

241. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_4 BY Q41

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





242.

243.

244.


Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_6 BY Q41

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





245.

246.

247. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q5 BY Q41

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





248.

249.

250.



252.

253.

254. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

/VARIABLES=Q5(0 1) Q41(4

5)

/TABLES=Q5 BY Q41

/CELLS=TOTAL

/BASE=CASES.



255.

256.


258.

259.

260. Case Summary

Cases

Valid Missing Total


Q5*Q41 26 43.3% 34 56.7% 60 100.0%

261.

262. Q5*Q41 Crosstabulation

What is your gender?

Male Female

Did you use the Holiday Guide for the Lights Festival?

No Count 2 2

% of Total 7.7% 7.7%

Yes Count 3 19

% of Total 11.5% 73.1%

Total Count 5 21

% of Total 19.2% 80.8%

263.

Q5*Q41 Crosstabulation

Total

Did you use the Holiday Guide for the Lights Festival? No Count 4


% of Total 15.4%

Yes Count 22

% of Total 84.6%

Total Count 26

% of Total 100.0%

264.


265.

266.

267. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q5 BY Q41

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





268.

269.

270. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

MULT RESPONSE



Q3_3 Q3_4 Q3_5 Q3_6 Q3_7

Q3_8 Q3_9 Q3_10 (1))

/VARIABLES=Q40(4 10)


Q40

/CELLS=TOTAL

/BASE=CASES.



271.

272.

273. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_3 BY Q40

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





274.

275.

276. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS

/TABLES=Q3_6 BY Q40

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





277.

278.

279. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

/VARIABLES=Q42(1 8)

Q40(4 10)

/TABLES=Q42 BY Q40

/CELLS=TOTAL

/BASE=CASES.



280.

281.

282. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

MULT RESPONSE



Q3_3 Q3_4 Q3_5 Q3_6 Q3_7

Q3_8 Q3_9 Q3_10 (1))

/VARIABLES=Q42(1 8)

/TABLES=Q42 BY

$After_arriving

/CELLS=TOTAL

/BASE=CASES.



283.

284.

285. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE



Q3_3 Q3_4 Q3_5 Q3_6 Q3_7

Q3_8 Q3_9 Q3_10 (1))

/VARIABLES=Q39(1 5)


Q39

/CELLS=TOTAL

/BASE=CASES.



286.

287.

288. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

MULT RESPONSE

/VARIABLES=Q41(4 5)

Q39(1 5)

/TABLES=Q41 BY Q39

/CELLS=TOTAL

/BASE=CASES.



289.

290.

291.


293.

294.

295. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$How_planned

'How_planned' (q35_1 q35_2

q35_3 q35_4 q35_5 q35_6

q35_7 (1))

/FREQUENCIES=$How_plann

ed.



296.

297.


299.

300.

301. Case Summary

Cases

Valid Missing Total


$How_planneda 50 83.3% 10 16.7% 60 100.0%

302.


303.

304.


$How_planned Frequencies

Responses Percent of

Cases N Percent

How_planneda

Which media types did you use as a

resource to plan the Lights Festival

activities you wish to atten...-Television

17 17.9% 34.0%



activities you wish to atten...-Radio

9 9.5% 18.0%



activities you wish to atten...-Word of

mouth

16 16.8% 32.0%



activities you wish to atten...-Social media

22 23.2% 44.0%



activities you wish to atten...-Lights

Festival website

26 27.4% 52.0%



activities you wish to atten...-Print

(magazine or newspaper)

2 2.1% 4.0%



activities you wish to atten...-Other

3 3.2% 6.0%

Total 95 100.0% 190.0%

305.


306.

307. MULT RESPONSE GROUPS=$How_planned 'How_planned' (Q35_1 Q35_2 Q35_3 Q35_4 Q35_5

Q35_6 Q35_7 (1))


309. /TABLES=$How_planned BY Q41

310. /BASE=CASES.

311.

312.

313.

314.


316.

317.

318. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

MULT RESPONSE

GROUPS=$How_planned

'How_planned' (Q35_1 Q35_2

Q35_3 Q35_4 Q35_5 Q35_6

Q35_7 (1))

/VARIABLES=Q41(4 5)

/TABLES=$How_planned BY

Q41

/BASE=CASES.



319.

320.


322.

323.

324. Case Summary

Cases

Valid Missing Total


$How_planned*Q41 48 80.0% 12 20.0% 60 100.0%

325.

326. $How_planned*Q41 Crosstabulation

What is your gender? Total

Male Female

How_planneda



activities you wish to atten...-Television

Count

6 11 17



activities you wish to atten...-Radio

Count

1 8 9



activities you wish to atten...-Word of

mouth

Count

7 9 16



activities you wish to atten...-Social media

Count

8 13 21



activities you wish to atten...-Lights

Festival website

Count

7 17 24





Count

0 2 2



activities you wish to atten...-Other

Count

1 2 3

Total Count 17 31 48

327.




328.

329. FREQUENCIES VARIABLES=Q41_Gender

330. /STATISTICS=STDDEV MEAN MEDIAN MODE

331. /ORDER=ANALYSIS.

332.

333. Frequencies Notes


Comments

Input

Data C:\Temp\MARK_311RO3-

1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q41_Gender

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



334.

335.

336. [DataSet1] C:\Temp\MARK_311RO3-1.sav

337.

338.

339. Statistics


N Valid 60

Missing 0

Mean 4.27

Median 5.00

Mode 5

Std. Deviation 1.376

340.

341. What is your gender?

Frequency Percent Valid

Percent

Cumulative

Percent

Valid

Prefer Not to Answer 5 8.3 8.3 8.3

Male 19 31.7 31.7 40.0

Female 36 60.0 60.0 100.0

Total 60 100.0 100.0

342.

343. FREQUENCIES VARIABLES=Q40_Race




346.

347.

348.

349.

350. Frequencies

351.

352.

353. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q40_Race

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



354.

355.


357.

358.

359. Statistics

What is your race?

N Valid 60

Missing 0

Mean 4.37

Median 4.00

Mode 4


360.

361. What is your race?


Percent

Cumulative

Percent

Valid

0 6 10.0 10.0 10.0

White/Caucasian 36 60.0 60.0 70.0

Black 4 6.7 6.7 76.7

Hispanic 7 11.7 11.7 88.3

Asian 4 6.7 6.7 95.0

Native American 1 1.7 1.7 96.7


Other 2 3.3 3.3 100.0

Total 60 100.0 100.0

362.

363. FREQUENCIES VARIABLES=Q39_Age



366.

367.

368.

369.

370. Frequencies

371.

372.

373. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q39_Age

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



374.

375.


377.

378.

379. Statistics

How old are you?

N Valid 60

Missing 0

Mean 1.80

Median 2.00

Mode 3


380.

381. How old are you?



Percent

Cumulative

Percent

Valid

18-25 8 13.3 13.3 13.3

26-34 18 30.0 30.0 43.3

35-54 13 21.7 21.7 65.0

55-64 20 33.3 33.3 98.3

65 or over 1 1.7 1.7 100.0

Total 60 100.0 100.0

382.

383. FREQUENCIES VARIABLES=Q42_Children



386.

387.

388.

389.

390. Frequencies

391.

392.

393. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q42_Children

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



394.

395.


397.

398.

399. Statistics

How many children do you

have?

N Valid 60

Missing 0

Mean 1.95


Median 1.00

Mode 1


400.

401. How many children do you have?


Percent

Cumulative

Percent

Valid

0 5 8.3 8.3 8.3

0 26 43.3 43.3 51.7

1 9 15.0 15.0 66.7

2 13 21.7 21.7 88.3

3 2 3.3 3.3 91.7

4 4 6.7 6.7 98.3

5 1 1.7 1.7 100.0

Total 60 100.0 100.0

402.

403. FREQUENCIES VARIABLES=Q44_Income



406.

407.

408.

409.

410. Frequencies

411.

412.

413. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q44_Income

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



414.

415.


417.


418.

419. Statistics

Please indicate your current

household income.

N Valid 60

Missing 0

Mean 3.95

Median 4.00

Mode 6


420.

421. Please indicate your current household income.


Percent

Cumulative

Percent

Valid

No Answer 6 10.0 10.0 10.0

Less than $20,000 4 6.7 6.7 16.7

$20,000 to $39,999 10 16.7 16.7 33.3

$40,000 to $59,999 5 8.3 8.3 41.7

$60,000 to $79,000 7 11.7 11.7 53.3

$80,000 to $99,999 6 10.0 10.0 63.3

$100,000 or more 14 23.3 23.3 86.7

Prefer not to answer 8 13.3 13.3 100.0

Total 60 100.0 100.0

422.

423. FREQUENCIES VARIABLES=Q43_Zip



426.

427.

428.

429.

430. Frequencies

431.

432.

433. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.


Syntax

FREQUENCIES

VARIABLES=Q43_Zip

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



434.

435.


437.

438.

439. Statistics

What is your ZIP code?

N Valid 60

Missing 0

440.

441. What is your ZIP code?


Percent

Cumulative

Percent

Valid

11 18.3 18.3 18.3

46060 1 1.7 1.7 20.0

46324 1 1.7 1.7 21.7

46404 1 1.7 1.7 23.3

47725 1 1.7 1.7 25.0

47905 1 1.7 1.7 26.7

48042 1 1.7 1.7 28.3

48306 3 5.0 5.0 33.3

49048 1 1.7 1.7 35.0

53403 1 1.7 1.7 36.7

60014 2 3.3 3.3 40.0

60025 1 1.7 1.7 41.7

60031 1 1.7 1.7 43.3

60045 1 1.7 1.7 45.0

60053 1 1.7 1.7 46.7

60073 1 1.7 1.7 48.3

60077 1 1.7 1.7 50.0

60089 1 1.7 1.7 51.7

60099 2 3.3 3.3 55.0

60103 2 3.3 3.3 58.3

60148 1 1.7 1.7 60.0

60192 1 1.7 1.7 61.7

60202 1 1.7 1.7 63.3

60304 1 1.7 1.7 65.0

60409 1 1.7 1.7 66.7

60447 1 1.7 1.7 68.3

60472 1 1.7 1.7 70.0

60525 1 1.7 1.7 71.7

60546 1 1.7 1.7 73.3

60601 1 1.7 1.7 75.0

60609 1 1.7 1.7 76.7

60614 1 1.7 1.7 78.3


442.

What is your ZIP code?


Percent

Cumulative

Percent

Valid 60623 1 1.7 1.7 80.0

60626 1 1.7 1.7 81.7

60629 1 1.7 1.7 83.3

60630 1 1.7 1.7 85.0

60640 1 1.7 1.7 86.7

60647 2 3.3 3.3 90.0

60803 1 1.7 1.7 91.7

60914 1 1.7 1.7 93.3

61741 1 1.7 1.7 95.0

62711 1 1.7 1.7 96.7

6618 1 1.7 1.7 98.3

90210 1 1.7 1.7 100.0

Total 60 100.0 100.0

443.

444. FREQUENCIES VARIABLES=Q5_HolidayGuide



447.

448.

449.

450.

451. Frequencies

452.

453.

454. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q5_HolidayGui

de

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



455.

456.



458.

459.

460. Statistics

Did you use the Holiday Guide

for the Lights Festival?

N Valid 60

Missing 0

Mean 1.47

Median 2.00

Mode 2

Std. Deviation .650

461.

462. Did you use the Holiday Guide for the Lights Festival?


Percent

Cumulative

Percent

Valid

No Response 5 8.3 8.3 8.3

Yes 22 36.7 36.7 45.0

No 33 55.0 55.0 100.0

Total 60 100.0 100.0

463.

464. MULT RESPONSE GROUPS=$After (q3_1_after_lane q3_2_after_stage q3_3_after_parade

q3_4_after_spectacular q3_5_after_instore q3_6_after_shopping q3_7_after_fooddrive q3_8_after_carol

q3_9_after_art q3_10_after_other (1))

465. /FREQUENCIES=$After.

466.

467.

468.

469.


471.

472.

473. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

MULT RESPONSE

GROUPS=$After

(q3_1_after_lane

q3_2_after_stage

q3_3_after_parade

q3_4_after_spectacular

q3_5_after_instore

q3_6_after_shopping

q3_7_after_fooddrive

q3_8_after_carol q3_9_after_art

q3_10_after_other (1))

/FREQUENCIES=$After.



474.

475.


477.

478.

479. Case Summary

Cases

Valid Missing Total


$Aftera 58 96.7% 2 3.3% 60 100.0%

480.


481.

482. $After Frequencies

Responses Percent of

Cases N Percent

$Aftera

After arriving at the Lights Festival, which

activities do you now plan on participating

in? (Select...-Lights Festival Lane

24 15.4% 41.4%



in? (Select...-BMO Harris Bank Stage

16 10.3% 27.6%



in? (Select...-Tree Lighting Parade

36 23.1% 62.1%



in? (Select...-Fireworks Spectacular

30 19.2% 51.7%



in? (Select...-In-Store Events

10 6.4% 17.2%



in? (Select...-Shopping

24 15.4% 41.4%



in? (Select...-Canned Food Drive

4 2.6% 6.9%



in? (Select...-Holiday Carol

4 2.6% 6.9%




in? (Select...-BMO Community Art Project

3 1.9% 5.2%



in? (Select...-Other

5 3.2% 8.6%

Total 156 100.0% 269.0%

483.


484.

485. FREQUENCIES VARIABLES=Q3_1_After_Lane Q3_2_After_Stage Q3_3_After_Parade

Q3_4_After_Spectacular Q3_5_After_InStore Q3_6_After_Shopping Q3_7_After_FoodDrive

Q3_8_After_Carol Q3_9_After_Art Q3_10_After_Other



488.

489.

490. MULT RESPONSE GROUPS=$After (Q3_1_After_Lane Q3_2_After_Stage Q3_3_After_Parade


Q3_8_After_Carol Q3_9_After_Art Q3_10_After_Other (1)) $Prior (Q2_1_Prior_Lane Q2_2_Prior_Stage

Q2_3_Prior_Parade Q2_4_Prior_Spectacular Q2_5_Prior_InStore Q2_6_Prior_Shopping

Q2_7_Prior_FoodDrive Q2_8_Prior_Carol Q2_9_Prior_Art Q2_10_Prior_Other (1))

491. /TABLES=$After BY $Prior

492. /CELLS=ROW COLUMN

493. /BASE=CASES.

494.

495.

496.

497.


499.

500.

501. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

MULT RESPONSE

GROUPS=$After

(Q3_1_After_Lane

Q3_2_After_Stage

Q3_3_After_Parade

Q3_4_After_Spectacular

Q3_5_After_InStore

Q3_6_After_Shopping

Q3_7_After_FoodDrive

Q3_8_After_Carol

Q3_9_After_Art

Q3_10_After_Other (1)) $Prior

(Q2_1_Prior_Lane

Q2_2_Prior_Stage

Q2_3_Prior_Parade

Q2_4_Prior_Spectacular

Q2_5_Prior_InStore

Q2_6_Prior_Shopping

Q2_7_Prior_FoodDrive

Q2_8_Prior_Carol

Q2_9_Prior_Art

Q2_10_Prior_Other (1))

/TABLES=$After BY $Prior

/CELLS=ROW COLUMN

/BASE=CASES.

502.

Notes



503.

504.


506.

507.

508. Case Summary

Cases

Valid Missing Total


$After*$Prior 57 95.0% 3 5.0% 60 100.0%

509.

510. $After*$Prior Crosstabulation

$Priora

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select

all that ap...-

Lights

Festival

Lane

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select

all that ap...-

BMO Harris

Bank Stage

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select

all that ap...-

Tree

Lighting

Parade

$Aftera




Count 20 8 15

% within $After 83.3% 33.3% 62.5%

% within $Prior 64.5% 47.1% 39.5%





Count 12 11 11

% within $After 75.0% 68.8% 68.8%

% within $Prior 38.7% 64.7% 28.9%




Count 19 12 29

% within $After 52.8% 33.3% 80.6%

% within $Prior 61.3% 70.6% 76.3%




Count 18 10 20

% within $After 62.1% 34.5% 69.0%

% within $Prior 58.1% 58.8% 52.6%




Count 5 3 6

% within $After 50.0% 30.0% 60.0%

% within $Prior 16.1% 17.6% 15.8%




Count 11 7 19

% within $After 45.8% 29.2% 79.2%

% within $Prior 35.5% 41.2% 50.0%




Count 2 1 0

% within $After 50.0% 25.0% 0.0%

511.

$After*$Prior Crosstabulation

$Priora

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Fireworks

Spectacular

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-In-

Store Events

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Shopping

$Aftera




Count 9 4 8

% within $After 37.5% 16.7% 33.3%

% within $Prior 47.4% 57.1% 33.3%




Count 6 2 5

% within $After 37.5% 12.5% 31.2%

% within $Prior 31.6% 28.6% 20.8%




Count 15 4 15

% within $After 41.7% 11.1% 41.7%

% within $Prior 78.9% 57.1% 62.5%




Count 13 3 12

% within $After 44.8% 10.3% 41.4%

% within $Prior 68.4% 42.9% 50.0%




Count 3 3 5

% within $After 30.0% 30.0% 50.0%

% within $Prior 15.8% 42.9% 20.8%




Count 8 4 17

% within $After 33.3% 16.7% 70.8%

% within $Prior 42.1% 57.1% 70.8%




Count 2 0 1

% within $After 50.0% 0.0% 25.0%

512.


$Priora


Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Canned Food

Drive

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Holiday

Carol

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Other

$Aftera




Count 1 3 2

% within $After 4.2% 12.5% 8.3%

% within $Prior 50.0% 100.0% 50.0%




Count 0 0 0

% within $After 0.0% 0.0% 0.0%

% within $Prior 0.0% 0.0% 0.0%




Count 1 2 1

% within $After 2.8% 5.6% 2.8%

% within $Prior 50.0% 66.7% 25.0%




Count 1 3 2

% within $After 3.4% 10.3% 6.9%

% within $Prior 50.0% 100.0% 50.0%




Count 0 1 1

% within $After 0.0% 10.0% 10.0%

% within $Prior 0.0% 33.3% 25.0%




Count 0 3 1

% within $After 0.0% 12.5% 4.2%

% within $Prior 0.0% 100.0% 25.0%




Count 1 0 0

% within $After 25.0% 0.0% 0.0%

513.


Totala

$Aftera

After arriving at the Lights Festival, which activities do you

now plan on participating in? (Select...-Lights Festival Lane

Count 24

% within $After

% within $Prior


now plan on participating in? (Select...-BMO Harris Bank Stage

Count 16

% within $After

% within $Prior


now plan on participating in? (Select...-Tree Lighting Parade

Count 36

% within $After

% within $Prior


now plan on participating in? (Select...-Fireworks Spectacular

Count 29

% within $After

% within $Prior


now plan on participating in? (Select...-In-Store Events

Count 10

% within $After

% within $Prior After arriving at the Lights Festival, which activities do you Count 24


now plan on participating in? (Select...-Shopping % within $After

% within $Prior


now plan on participating in? (Select...-Canned Food Drive

Count 4

% within $After

514. $After*$Prior Crosstabulation

$Priora

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select

all that ap...-

Lights

Festival

Lane

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select

all that ap...-

BMO Harris

Bank Stage

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select

all that ap...-

Tree

Lighting

Parade

$Aftera After arriving at the Lights Festival, which



% within $Prior

6.5% 5.9% 0.0%




Count 2 1 2

% within $After 50.0% 25.0% 50.0%

% within $Prior 6.5% 5.9% 5.3%




Count 2 1 1

% within $After 66.7% 33.3% 33.3%

% within $Prior 6.5% 5.9% 2.6%




Count 1 0 2

% within $After 20.0% 0.0% 40.0%

% within $Prior 3.2% 0.0% 5.3%

Total Count 31 17 38

515.


$Priora

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Fireworks

Spectacular

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-In-

Store Events

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Shopping




% within $Prior

10.5% 0.0% 4.2%




Count 0 0 2

% within $After 0.0% 0.0% 50.0%

% within $Prior 0.0% 0.0% 8.3%




Count 0 0 1

% within $After 0.0% 0.0% 33.3%

% within $Prior 0.0% 0.0% 4.2%




Count 0 0 2

% within $After 0.0% 0.0% 40.0%

% within $Prior 0.0% 0.0% 8.3%

Total Count 19 7 24


516.


$Priora

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Canned Food

Drive

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Holiday

Carol

Prior to the

Lights

Festival,

which

activities did

you plan on

participating

in? (Select all

that ap...-

Other




% within $Prior

50.0% 0.0% 0.0%




Count 0 0 1

% within $After 0.0% 0.0% 25.0%

% within $Prior 0.0% 0.0% 25.0%




Count 0 0 0

% within $After 0.0% 0.0% 0.0%

% within $Prior 0.0% 0.0% 0.0%




Count 0 0 1

% within $After 0.0% 0.0% 20.0%

% within $Prior 0.0% 0.0% 25.0%

Total Count 2 3 4

517.


Totala

$Aftera After arriving at the Lights Festival, which activities do you

now plan on participating in? (Select...-Canned Food Drive % within $Prior


now plan on participating in? (Select...-Holiday Carol

Count 4

% within $After

% within $Prior


now plan on participating in? (Select...-BMO Community Art

Project

Count 3

% within $After

% within $Prior


now plan on participating in? (Select...-Other

Count 5

% within $After

% within $Prior Total Count 57

518.



519.



Q3_8_After_Carol Q3_9_After_Art Q3_10_After_Other (1))

521. /VARIABLES=Q41_Gender(0 5)

522. /TABLES=$After BY Q41_Gender



524. /BASE=CASES.

525.

526.

527.

528.


530.

531.

532. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$After

(Q3_1_After_Lane

Q3_2_After_Stage

Q3_3_After_Parade


Q3_5_After_InStore

Q3_6_After_Shopping


Q3_8_After_Carol

Q3_9_After_Art

Q3_10_After_Other (1))

/VARIABLES=Q41_Gender(0

5)

/TABLES=$After BY

Q41_Gender

/CELLS=ROW COLUMN

/BASE=CASES.



533.

534.


536.

537.

538. Case Summary

Cases

Valid Missing Total


$After*Q41_Gender 58 96.7% 2 3.3% 60 100.0%


539.

540. $After*Q41_Gender Crosstabulation


Prefer Not to

Answer

Male Female

$Aftera




Count 2 8 14

% within $After 8.3% 33.3% 58.3%

% within Q41_Gender 40.0% 47.1% 38.9%




Count 1 6 9

% within $After 6.2% 37.5% 56.2%

% within Q41_Gender 20.0% 35.3% 25.0%




Count 2 11 23

% within $After 5.6% 30.6% 63.9%

% within Q41_Gender 40.0% 64.7% 63.9%




Count 3 7 20

% within $After 10.0% 23.3% 66.7%

% within Q41_Gender 60.0% 41.2% 55.6%




Count 0 4 6

% within $After 0.0% 40.0% 60.0%

% within Q41_Gender 0.0% 23.5% 16.7%




Count 1 7 16

% within $After 4.2% 29.2% 66.7%

% within Q41_Gender 20.0% 41.2% 44.4%




Count 0 0 4

% within $After 0.0% 0.0% 100.0%

% within Q41_Gender 0.0% 0.0% 11.1%




Count 0 0 4

% within $After 0.0% 0.0% 100.0%

% within Q41_Gender 0.0% 0.0% 11.1%




Count 0 0 3

% within $After 0.0% 0.0% 100.0%

% within Q41_Gender 0.0% 0.0% 8.3%




Count

0 1 4

541.

$After*Q41_Gender Crosstabulation

Total

$Aftera

After arriving at the Lights Festival, which activities do

you now plan on participating in? (Select...-Lights Festival

Lane

Count 24

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-BMO Harris

Bank Stage

Count 16

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Tree Lighting

Parade

Count 36

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Fireworks

Count 30

% within $After


Spectacular % within Q41_Gender


you now plan on participating in? (Select...-In-Store

Events

Count 10

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Shopping

Count 24

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Canned Food

Drive

Count 4

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Holiday Carol

Count 4

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-BMO

Community Art Project

Count 3

% within $After

% within Q41_Gender After arriving at the Lights Festival, which activities do

you now plan on participating in? (Select...-Other Count

5

542.



Prefer Not to

Answer

Male Female




% within $After 0.0% 20.0% 80.0%

% within Q41_Gender 0.0% 5.9% 11.1%

Total Count 5 17 36

543.


Total

$Aftera After arriving at the Lights Festival, which activities do

you now plan on participating in? (Select...-Other % within $After

% within Q41_Gender Total Count 58

544.



545.

546. MULT RESPONSE GROUPS=$ActivitiesInterestedLF (Q4_2_Group_Interactive

Q4_3_Group_AdultFocus Q4_4_Group_Family Q4_5_Group_Social Q4_6_Group_Contest

Q4_7_Group_Games Q4_8_Group_Info Q4_9_Group_Creative Q4_10_Group_Other (1))


548. /TABLES=$ActivitiesInterestedLF BY Q41_Gender


550. /BASE=CASES.

551.

552.

553.


554.


556.

557.

558. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$ActivitiesInterested

LF (Q4_2_Group_Interactive

Q4_3_Group_AdultFocus

Q4_4_Group_Family

Q4_5_Group_Social

Q4_6_Group_Contest

Q4_7_Group_Games

Q4_8_Group_Info

Q4_9_Group_Creative

Q4_10_Group_Other (1))


5)

/TABLES=$ActivitiesInterested

LF BY Q41_Gender

/CELLS=ROW COLUMN

/BASE=CASES.



559.

560.


562.

563.

564. Case Summary

Cases

Valid Missing Total


$ActivitiesInterestedLF*Q41_Gender 38 63.3% 22 36.7% 60 100.0%

565.

566. $ActivitiesInterestedLF*Q41_Gender Crosstabulation


$ActivitiesInterestedLFa

How well do the following items describe

other activities you would be interested in

seeing at the L...-Interactive-Group

Count

% within $ActivitiesInterestedLF

% within Q41_Gender



seeing at the L...-Adult focused-Group

Count


% within Q41_Gender



seeing at the L...-Family oriented-Group

Count


% within Q41_Gender



seeing at the L...-Social-Group

Count


% within Q41_Gender



seeing at the L...-Contests-Group

Count


% within Q41_Gender



seeing at the L...-Games-Group

Count


% within Q41_Gender



seeing at the L...-Informational-Group

Count


% within Q41_Gender



seeing at the L...-Creative-Group

Count


% within Q41_Gender

Total Count

567.

$ActivitiesInterestedLF*Q41_Gender Crosstabulation

What is

your

gender?

Prefer Not

to Answer





Count 2

% within $ActivitiesInterestedLF 18.2%

% within Q41_Gender 66.7%




Count 1






Count 1






Count 1






Count 2






Count 1





Count 0



seeing at the L...-Informational-Group % within Q41_Gender 0.0%




Count 0



Total Count 3

568.


What is

your

gender?

Male





Count 4






Count 6






Count 3






Count 5






Count 4






Count 2






Count 2






Count 6



Total Count 14

569.


What is

your

gender?

Female





Count 5






Count 9






Count 4






Count 13






Count 3







Count 5






Count 4






Count 5



Total Count 21

570.


Total





Count 11


% within Q41_Gender




Count 16


% within Q41_Gender




Count 8


% within Q41_Gender




Count 19


% within Q41_Gender




Count 9


% within Q41_Gender




Count 8


% within Q41_Gender




Count 6


% within Q41_Gender




Count 11



571.



572.

573. FREQUENCIES VARIABLES=Q37_Perception



576.

577.


578.

579.

580. Frequencies

581.

582.

583. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q37_Perception

/STATISTICS=STDDEV

MEAN MEDIAN MODE

/ORDER=ANALYSIS.



584.

585.


587.

588.

589. Statistics

What is your perception of the

Lights Festival?

N Valid 60

Missing 0

Mean 3.02

Median 4.00

Mode 5


590.

591. What is your perception of the Lights Festival?


Percent

Cumulative

Percent

Valid

Very Dissatisfied 17 28.3 28.3 28.3

Dissatisfied 2 3.3 3.3 31.7

Neutral 5 8.3 8.3 40.0

Satisfied 11 18.3 18.3 58.3

Very Satisfied 25 41.7 41.7 100.0

Total 60 100.0 100.0

592.


593. MULT RESPONSE GROUPS=$IncreaseInvolv (Q36_1_Shopping Q36_2_Dining Q36_3_Music

Q36_4_Sightseeing Q36_5_Art Q36_6_Info Q36_7_Other (1))


595. /TABLES=$IncreaseInvolv BY Q41_Gender


597. /BASE=CASES.

598.

599.

600.

601.


603.

604.

605. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$IncreaseInvolv

(Q36_1_Shopping

Q36_2_Dining Q36_3_Music

Q36_4_Sightseeing Q36_5_Art

Q36_6_Info Q36_7_Other (1))


5)

/TABLES=$IncreaseInvolv

BY Q41_Gender

/CELLS=ROW COLUMN

/BASE=CASES.



606.

607.


609.

610.

611. Case Summary

Cases

Valid Missing Total



$IncreaseInvolv*Q41_Gender 34 56.7% 26 43.3% 60 100.0%

612.

613. $IncreaseInvolv*Q41_Gender Crosstabulation


Prefer Not to

Answer

Male

$IncreaseInvolva

Please rank the types of activities that

would increase your involvement at the

Lights Festival (1 d...-Shopping

Count 1 1

% within $IncreaseInvolv 9.1% 9.1%

% within Q41_Gender 50.0% 10.0%



Lights Festival (1 d...-Dining

Count 0 2





Lights Festival (1 d...-Live Music

Count 1 6





Lights Festival (1 d...-Sightseeing

Count 0 1





Lights Festival (1 d...-Artistic

Count 0 0





Lights Festival (1 d...-Informational

Count 0 0



Total Count 2 10

614.

$IncreaseInvolv*Q41_Gender Crosstabulation

What is

your

gender?

Total

Female

$IncreaseInvolva

Please rank the types of activities that would

increase your involvement at the Lights

Festival (1 d...-Shopping

Count 9 11

% within $IncreaseInvolv 81.8%




Festival (1 d...-Dining

Count 1 3





Festival (1 d...-Live Music

Count 7 14





Festival (1 d...-Sightseeing

Count 1 2





Festival (1 d...-Artistic

Count 3 3





Festival (1 d...-Informational

Count 1 1


% within Q41_Gender 4.5% Total Count 22 34

615.




616.

617. MULT RESPONSE GROUPS=$Enjoyment (Q30_x1_Lane Q30_x2_Stage Q30_x3_Parade

Q30_x4_Spectacular Q30_x5_InStore Q30_x6_Shopping Q30_x7_Carol Q30_x8_Art (1))


619. /TABLES=$Enjoyment BY Q41_Gender


621. /BASE=CASES.

622.

623.

624.

625.


627.

628.

629. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$Enjoyment

(Q30_x1_Lane Q30_x2_Stage

Q30_x3_Parade

Q30_x4_Spectacular

Q30_x5_InStore

Q30_x6_Shopping

Q30_x7_Carol Q30_x8_Art (1))


5)

/TABLES=$Enjoyment BY

Q41_Gender

/CELLS=ROW COLUMN

/BASE=CASES.



630.

631.


633.

634.


635. Case Summary

Cases

Valid Missing Total


$Enjoyment*Q41_Gender 33 55.0% 27 45.0% 60 100.0%

636.

637. $Enjoyment*Q41_Gender Crosstabulation


Prefer Not to

Answer

Male

$Enjoymenta

Please rank the following Lights Festival

activities in order of enjoyment (1 being the

most enjoyab...-Lights Festival Lane

Count 1 3

% within $Enjoyment 12.5% 37.5%




most enjoyab...-BMO Harris Bank Stage

Count 0 2





most enjoyab...-Tree Lighting Parade

Count 2 11





most enjoyab...-Fireworks Spectacular

Count 0 0





most enjoyab...-Shopping

Count 0 0



Total Count 3 16

638.

$Enjoyment*Q41_Gender Crosstabulation

What is

your

gender?

Total

Female

$Enjoymenta




Count 4 8

% within $Enjoyment 50.0%





Count 1 3






Count 6 19






Count 1 1






Count 2 2


% within Q41_Gender 14.3% Total Count 14 33

639.




640.

641. MULT RESPONSE GROUPS=$Prior (Q2_1_Prior_Lane Q2_2_Prior_Stage Q2_3_Prior_Parade

Q2_4_Prior_Spectacular Q2_5_Prior_InStore Q2_6_Prior_Shopping Q2_7_Prior_FoodDrive

Q2_8_Prior_Carol Q2_9_Prior_Art Q2_10_Prior_Other (1))


643. /TABLES=$Prior BY Q41_Gender


645. /BASE=CASES.

646.

647.

648.

649.


651.

652.

653. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$Prior

(Q2_1_Prior_Lane

Q2_2_Prior_Stage

Q2_3_Prior_Parade

Q2_4_Prior_Spectacular

Q2_5_Prior_InStore

Q2_6_Prior_Shopping

Q2_7_Prior_FoodDrive

Q2_8_Prior_Carol

Q2_9_Prior_Art

Q2_10_Prior_Other (1))


5)

/TABLES=$Prior BY

Q41_Gender

/CELLS=ROW COLUMN

/BASE=CASES.



654.

655.



657.

658.

659. Case Summary

Cases

Valid Missing Total


$Prior*Q41_Gender 58 96.7% 2 3.3% 60 100.0%

660.

661. $Prior*Q41_Gender Crosstabulation


Prefer Not to

Answer

Male Female

$Priora

Prior to the Lights Festival, which activities

did you plan on participating in? (Select all

that ap...-Lights Festival Lane

Count 2 9 20

% within $Prior 6.5% 29.0% 64.5%

% within Q41_Gender 50.0% 50.0% 55.6%



that ap...-BMO Harris Bank Stage

Count 0 8 10

% within $Prior 0.0% 44.4% 55.6%

% within Q41_Gender 0.0% 44.4% 27.8%



that ap...-Tree Lighting Parade

Count 2 12 25

% within $Prior 5.1% 30.8% 64.1%

% within Q41_Gender 50.0% 66.7% 69.4%



that ap...-Fireworks Spectacular

Count 1 7 11

% within $Prior 5.3% 36.8% 57.9%

% within Q41_Gender 25.0% 38.9% 30.6%



that ap...-In-Store Events

Count 0 3 4

% within $Prior 0.0% 42.9% 57.1%

% within Q41_Gender 0.0% 16.7% 11.1%



that ap...-Shopping

Count 1 9 15

% within $Prior 4.0% 36.0% 60.0%

% within Q41_Gender 25.0% 50.0% 41.7%



that ap...-Canned Food Drive

Count 0 0 2

% within $Prior 0.0% 0.0% 100.0%

% within Q41_Gender 0.0% 0.0% 5.6%



that ap...-Holiday Carol

Count 1 1 1

% within $Prior 33.3% 33.3% 33.3%

% within Q41_Gender 25.0% 5.6% 2.8%



that ap...-Other

Count 0 2 3

% within $Prior 0.0% 40.0% 60.0%

% within Q41_Gender 0.0% 11.1% 8.3%

Total Count 4 18 36

662.

$Prior*Q41_Gender Crosstabulation

Total

$Priora

Prior to the Lights Festival, which activities did you plan

on participating in? (Select all that ap...-Lights Festival

Lane

Count 31

% within $Prior

% within Q41_Gender


on participating in? (Select all that ap...-BMO Harris Bank

Count 18

% within $Prior


Stage % within Q41_Gender


on participating in? (Select all that ap...-Tree Lighting

Parade

Count 39

% within $Prior

% within Q41_Gender


on participating in? (Select all that ap...-Fireworks

Spectacular

Count 19

% within $Prior

% within Q41_Gender


on participating in? (Select all that ap...-In-Store Events

Count 7

% within $Prior

% within Q41_Gender


on participating in? (Select all that ap...-Shopping

Count 25

% within $Prior

% within Q41_Gender


on participating in? (Select all that ap...-Canned Food

Drive

Count 2

% within $Prior

% within Q41_Gender


on participating in? (Select all that ap...-Holiday Carol

Count 3

% within $Prior

% within Q41_Gender


on participating in? (Select all that ap...-Other

Count 5

% within $Prior


663.



664.



Q3_8_After_Carol Q3_9_After_Art Q3_10_After_Other (1))


667. /TABLES=$After BY Q41_Gender


669. /BASE=CASES.

670.

671.

672.

673.


675.

676.

677. Notes


Comments

Input Data C:\Temp\MARK_311RO3-

1.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$After

(Q3_1_After_Lane

Q3_2_After_Stage

Q3_3_After_Parade


Q3_5_After_InStore

Q3_6_After_Shopping


Q3_8_After_Carol

Q3_9_After_Art

Q3_10_After_Other (1))


5)

/TABLES=$After BY

Q41_Gender

/CELLS=ROW COLUMN

/BASE=CASES.



678.

679.


681.

682.

683. Case Summary

Cases

Valid Missing Total


$After*Q41_Gender 58 96.7% 2 3.3% 60 100.0%

684.

685. $After*Q41_Gender Crosstabulation


Prefer Not to

Answer

Male Female

$Aftera




Count 2 8 14

% within $After 8.3% 33.3% 58.3%

% within Q41_Gender 40.0% 47.1% 38.9%




Count 1 6 9

% within $After 6.2% 37.5% 56.2%

% within Q41_Gender 20.0% 35.3% 25.0%




Count 2 11 23

% within $After 5.6% 30.6% 63.9%

% within Q41_Gender 40.0% 64.7% 63.9%

After arriving at the Lights Festival, which Count 3 7 20




% within $After 10.0% 23.3% 66.7%

% within Q41_Gender 60.0% 41.2% 55.6%




Count 0 4 6

% within $After 0.0% 40.0% 60.0%

% within Q41_Gender 0.0% 23.5% 16.7%




Count 1 7 16

% within $After 4.2% 29.2% 66.7%

% within Q41_Gender 20.0% 41.2% 44.4%




Count 0 0 4

% within $After 0.0% 0.0% 100.0%

% within Q41_Gender 0.0% 0.0% 11.1%




Count 0 0 4

% within $After 0.0% 0.0% 100.0%

% within Q41_Gender 0.0% 0.0% 11.1%




Count 0 0 3

% within $After 0.0% 0.0% 100.0%

% within Q41_Gender 0.0% 0.0% 8.3%




Count

0 1 4

686.


Total

$Aftera


you now plan on participating in? (Select...-Lights Festival

Lane

Count 24

% within $After

% within Q41_Gender



Bank Stage

Count 16

% within $After

% within Q41_Gender



Parade

Count 36

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Fireworks

Spectacular

Count 30

% within $After

% within Q41_Gender



Events

Count 10

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Shopping

Count 24

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Canned Food

Drive

Count 4

% within $After

% within Q41_Gender


you now plan on participating in? (Select...-Holiday Carol

Count 4

% within $After

% within Q41_Gender After arriving at the Lights Festival, which activities do Count 3



Community Art Project % within $After

% within Q41_Gender After arriving at the Lights Festival, which activities do

you now plan on participating in? (Select...-Other Count

5

687.



Prefer Not to

Answer

Male Female




% within $After 0.0% 20.0% 80.0%

% within Q41_Gender 0.0% 5.9% 11.1%

Total Count 5 17 36

688.


Total

$Aftera After arriving at the Lights Festival, which activities do

you now plan on participating in? (Select...-Other % within $After


689.



690.

691. MULT RESPONSE GROUPS=$FreqencyActivities (Q28_1_Shopping Q28_2_Dining

Q28_3_Sightseeing Q28_4_Theatre Q28_5_LiveMusic Q28_6_Museums Q28_7_Lodging (1))


693. /TABLES=$FreqencyActivities BY Q41_Gender


695. /BASE=CASES.

696.

697.

698.

699.


701.

702.

703. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

MULT RESPONSE

GROUPS=$FreqencyActivities

(Q28_1_Shopping

Q28_2_Dining

Q28_3_Sightseeing

Q28_4_Theatre

Q28_5_LiveMusic

Q28_6_Museums

Q28_7_Lodging (1))


5)

/TABLES=$FreqencyActivities

BY Q41_Gender

/CELLS=ROW COLUMN

/BASE=CASES.



704.

705.


707.

708.

709. Case Summary

Cases

Valid Missing Total


$FreqencyActivities*Q41_Gender 29 48.3% 31 51.7% 60 100.0%

710.

711. $FreqencyActivities*Q41_Gender Crosstabulation

What is your

gender?

Prefer Not to

Answer

$FreqencyActivitiesa

By using the options provided, please

indicate how frequently through the holiday

season you plan on...-Shopping

Count 2

% within $FreqencyActivities 15.4%




season you plan on...-Dining

Count 2





season you plan on...-Sightseeing

Count 2





season you plan on...-Theater

Count 3





season you plan on...-Live Music

Count 4





Count 1



season you plan on...-Museums % within Q41_Gender 25.0%



season you plan on...-Lodging

Count 1



Total Count 4

712.

$FreqencyActivities*Q41_Gender Crosstabulation

What is

your

gender?

Male


By using the options provided, please indicate

how frequently through the holiday season you

plan on...-Shopping

Count 3





plan on...-Dining

Count 2





plan on...-Sightseeing

Count 2





plan on...-Theater

Count 5





plan on...-Live Music

Count 5





plan on...-Museums

Count 5





plan on...-Lodging

Count 4



Total Count 7

713.


What is

your

gender?

Female



how frequently through the holiday season

you plan on...-Shopping

Count 8





you plan on...-Dining

Count 4





you plan on...-Sightseeing

Count 5





you plan on...-Theater

Count 10





you plan on...-Live Music

Count 10





you plan on...-Museums

Count 7






you plan on...-Lodging

Count 8



Total Count 18

714.


Total




plan on...-Shopping

Count 13

% within $FreqencyActivities

% within Q41_Gender



plan on...-Dining

Count 8


% within Q41_Gender



plan on...-Sightseeing

Count 9


% within Q41_Gender



plan on...-Theater

Count 18


% within Q41_Gender




Count 19


% within Q41_Gender



plan on...-Museums

Count 13


% within Q41_Gender



plan on...-Lodging

Count 13



715.



716.

717. MULT RESPONSE GROUPS=$FreqencyActivities (Q28_1_Shopping Q28_2_Dining

Q28_3_Sightseeing Q28_4_Theatre Q28_5_LiveMusic Q28_6_Museums Q28_7_Lodging (1))

718. /VARIABLES=Q39_Age(0 5)

719. /TABLES=$FreqencyActivities BY Q39_Age


721. /BASE=CASES.

722.

723.

724.

725.


727.


728.

729. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$FreqencyActivities

(Q28_1_Shopping

Q28_2_Dining

Q28_3_Sightseeing

Q28_4_Theatre

Q28_5_LiveMusic

Q28_6_Museums

Q28_7_Lodging (1))

/VARIABLES=Q39_Age(0 5)

/TABLES=$FreqencyActivities

BY Q39_Age

/CELLS=ROW COLUMN

/BASE=CASES.



730.

731.


733.

734.

735. Case Summary

Cases

Valid Missing Total


$FreqencyActivities*Q39_Age 29 48.3% 31 51.7% 60 100.0%

736.

737. $FreqencyActivities*Q39_Age Crosstabulation

How old are you?

18-25 26-34



indicate how frequently through the

holiday season you plan on...-Shopping

Count 4 4

% within $FreqencyActivities 30.8% 30.8%

% within Q39_Age 66.7% 50.0%



holiday season you plan on...-Dining

Count 2 2


% within Q39_Age 33.3% 25.0%




holiday season you plan on...-Sightseeing

Count 2 2


% within Q39_Age 33.3% 25.0%



holiday season you plan on...-Theater

Count 3 4


% within Q39_Age 50.0% 50.0%



holiday season you plan on...-Live Music

Count 4 5


% within Q39_Age 66.7% 62.5%



holiday season you plan on...-Museums

Count 1 5


% within Q39_Age 16.7% 62.5%



holiday season you plan on...-Lodging

Count 3 5


% within Q39_Age 50.0% 62.5%

Total Count 6 8

738.

$FreqencyActivities*Q39_Age Crosstabulation

How old are you?

35-54 55-64




holiday season you plan on...-Shopping

Count 1 4


% within Q39_Age 16.7% 44.4%



holiday season you plan on...-Dining

Count 1 3


% within Q39_Age 16.7% 33.3%



holiday season you plan on...-Sightseeing

Count 1 4


% within Q39_Age 16.7% 44.4%



holiday season you plan on...-Theater

Count 5 6


% within Q39_Age 83.3% 66.7%



holiday season you plan on...-Live Music

Count 3 7


% within Q39_Age 50.0% 77.8%



holiday season you plan on...-Museums

Count 4 3


% within Q39_Age 66.7% 33.3%



holiday season you plan on...-Lodging

Count 1 4


% within Q39_Age 16.7% 44.4%

Total Count 6 9

739.

$FreqencyActivities*Q39_Age Crosstabulation

Total




plan on...-Shopping

Count 13


% within Q39_Age



plan on...-Dining

Count 8


% within Q39_Age By using the options provided, please indicate Count 9



plan on...-Sightseeing % within $FreqencyActivities

% within Q39_Age



plan on...-Theater

Count 18


% within Q39_Age




Count 19


% within Q39_Age



plan on...-Museums

Count 13


% within Q39_Age



plan on...-Lodging

Count 13


% within Q39_Age Total Count 29

740.



741.

742. MULT RESPONSE GROUPS=$ActivitiesInterestedLF (Q4_2_Group_Interactive

Q4_3_Group_AdultFocus Q4_4_Group_Family Q4_5_Group_Social Q4_6_Group_Contest

Q4_7_Group_Games Q4_8_Group_Info Q4_9_Group_Creative Q4_10_Group_Other (1))


744. /TABLES=$ActivitiesInterestedLF BY Q39_Age


746. /BASE=CASES.

747.

748.

749.

750.


752.

753.

754. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

MULT RESPONSE

GROUPS=$ActivitiesInterested

LF (Q4_2_Group_Interactive


Q4_4_Group_Family

Q4_5_Group_Social

Q4_6_Group_Contest

Q4_7_Group_Games

Q4_8_Group_Info

Q4_9_Group_Creative

Q4_10_Group_Other (1))


/TABLES=$ActivitiesInterested

LF BY Q39_Age

/CELLS=ROW COLUMN

/BASE=CASES.



755.

756.


758.

759.

760. Case Summary

Cases

Valid Missing Total


$ActivitiesInterestedLF*Q39_Age 38 63.3% 22 36.7% 60 100.0%

761.

762. $ActivitiesInterestedLF*Q39_Age Crosstabulation

How old

are you?

18-25





Count 2


% within Q39_Age 40.0%




Count 3






Count 1






Count 3






Count 2






Count 3



How well do the following items describe Count 0









Count 0



Total Count 5

763.

$ActivitiesInterestedLF*Q39_Age Crosstabulation

How old

are you?

26-34





Count 2






Count 3






Count 1






Count 7






Count 3






Count 1






Count 3






Count 4



Total Count 13

764.


How old

are you?

35-54





Count 5






Count 7






Count 2






Count 4





Count 1



seeing at the L...-Contests-Group % within Q39_Age 14.3%




Count 1






Count 2






Count 4



Total Count 7

765.


How old

are you?

55-64





Count 2






Count 3






Count 4






Count 5






Count 3






Count 3






Count 1






Count 3



Total Count 13

766.


Total





Count 11


% within Q39_Age




Count 16


% within Q39_Age How well do the following items describe Count 8



seeing at the L...-Family oriented-Group % within $ActivitiesInterestedLF

% within Q39_Age




Count 19


% within Q39_Age




Count 9


% within Q39_Age




Count 8


% within Q39_Age




Count 6


% within Q39_Age




Count 11


% within Q39_Age Total Count 38

767.



768.


Q30_x4_Spectacular Q30_x5_InStore Q30_x6_Shopping Q30_x7_Carol Q30_x8_Art (1))


771. /TABLES=$Enjoyment BY Q39_Age


773. /BASE=CASES.

774.

775.

776.

777.


779.

780.

781. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

MULT RESPONSE

GROUPS=$Enjoyment


Q30_x3_Parade

Q30_x4_Spectacular

Q30_x5_InStore

Q30_x6_Shopping




Q39_Age

/CELLS=ROW COLUMN

/BASE=CASES.



782.

783.


785.

786.

787. Case Summary

Cases

Valid Missing Total


$Enjoyment*Q39_Age 33 55.0% 27 45.0% 60 100.0%

788.

789. $Enjoyment*Q39_Age Crosstabulation

How old are you?

18-25 26-34 35-54

$Enjoymenta




Count 1 4 0

% within $Enjoyment 12.5% 50.0% 0.0%

% within Q39_Age 33.3% 28.6% 0.0%




Count 0 1 1


% within Q39_Age 0.0% 7.1% 16.7%




Count 2 9 4


% within Q39_Age 66.7% 64.3% 66.7%




Count 0 0 1


% within Q39_Age 0.0% 0.0% 16.7%




Count 0 0 0


% within Q39_Age 0.0% 0.0% 0.0%

Total Count 3 14 6

790.

$Enjoyment*Q39_Age Crosstabulation

How old

are you?

Total


55-64

$Enjoymenta




Count 3 8






Count 1 3






Count 4 19






Count 0 1






Count 2 2


% within Q39_Age 20.0% Total Count 10 33

791.



792.


Q30_x4_Spectacular Q30_x5_InStore Q30_x6_Shopping Q30_x7_Carol Q30_x8_Art (1)) $IncreaseInvolv

(Q36_1_Shopping Q36_2_Dining Q36_3_Music Q36_4_Sightseeing Q36_5_Art Q36_6_Info Q36_7_Other

(1))

794. /TABLES=$Enjoyment BY $IncreaseInvolv


796. /BASE=CASES.

797.

798.

799.

800.


802.

803.

804. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

MULT RESPONSE

GROUPS=$Enjoyment


Q30_x3_Parade

Q30_x4_Spectacular

Q30_x5_InStore

Q30_x6_Shopping


$IncreaseInvolv

(Q36_1_Shopping

Q36_2_Dining Q36_3_Music

Q36_4_Sightseeing Q36_5_Art

Q36_6_Info Q36_7_Other (1))


$IncreaseInvolv

/CELLS=ROW COLUMN

/BASE=CASES.



805.

806.


808.

809.

810. Case Summary

Cases

Valid Missing Total


$Enjoyment*$IncreaseInvolv 23 38.3% 37 61.7% 60 100.0%

811.

812. $Enjoyment*$IncreaseInvolv Crosstabulation

$IncreaseInvolva

Please rank

the types

of activities

that would

increase

your

involvement

at the Lights

Festival (1

d...-

Shopping

Please rank

the types

of activities

that would

increase

your

involvement

at the Lights

Festival (1

d...-Dining

$Enjoymenta




Count 3 0






Count 0 1






Count 2 1







Count 1 0



Total Count 6 2

813.

$Enjoyment*$IncreaseInvolv Crosstabulation

$IncreaseInvolva

Please rank

the types

of activities

that would

increase your

involvement

at the Lights

Festival (1

d...-Live

Music

Please rank

the types

of activities

that would

increase your

involvement

at the Lights

Festival (1

d...-

Sightseeing

$Enjoymenta




Count 2 0






Count 1 0






Count 8 2






Count 0 0



Total Count 11 2

814.

$Enjoyment*$IncreaseInvolv Crosstabulation

$IncreaseInvo

lva

Total

Please rank

the types

of activities

that would

increase your

involvement

at the Lights

Festival (1

d...-Artistic

$Enjoymenta




Count 0 5






Count 1 3






Count 1 14






Count 0 1


% within $IncreaseInvolv 0.0% Total Count 2 23


815.



816.

817. GET

818. FILE='C:\Users\cverhoef\Downloads\MARK_311_Survey_GNMAA_combined.sav'.


820. GET

821. FILE='C:\Users\cverhoef\Downloads\MARK_311.sav'.


823. DATASET ACTIVATE DataSet2.

824. DATASET CLOSE DataSet1.

825. Notes


Comments

Input

Data C:\Users\cverhoef\Downloads\

MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





826.

827.

828. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x1 BY Q37

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





829.

830.

831. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





832.

833.

834. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





835.

836.

837. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





838.

839.

840. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





841.

842.

843. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





844.

845.

846. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>


Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





847.

848.

849. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





850.

851.

852. Notes


Comments

Input


MARK_311.sav


Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q4_2_Group BY

Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





853.

854.

855. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





856.

857.

858. Notes


Comments


Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





859.

860.

861. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





862.

863.

864. Notes



Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





865.

866.

867. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





868.

869.


870. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





871.

872.

873. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources






874.

875.

876. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





877.

878.

879. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources






880.

881.

882. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





883.

884.

885.

886. Crosstabs

887.

888.

889. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





890.

891.

892. [DataSet1] C:\Users\cverhoef\Downloads\MARK_311.sav

893.

894.

895. Case Processing Summary

Cases

Valid Missing

N Percent N Percent

How well do the following items describe other activities you would be

interested in seeing at the L...-Interactive-Group * Do you use social media for

reviews?-For businesses-I read business reviews

60 100.0% 0 0.0%

896.

Case Processing Summary

Cases

Total

N Percent

How well do the following items describe other activities you would be interested in seeing at the

L...-Interactive-Group * Do you use social media for reviews?-For businesses-I read business

reviews

60 100.0%

897.

898. How well do the following items describe other activities you would be interested in seeing at the L...-Interactive-Group

* Do you use social media for reviews?-For businesses-I read business reviews Crosstabulation

How well do the following items describe other activities

you would be interested in seeing at the L...-Interactive-

Group

0

Count

% within Do you use social media for reviews?-For

businesses-I read business reviews

Very

Well

Count



Well

Count



Neutral

Count



Total Count




899.

How well do the following items describe other activities you would be interested in seeing at the L...-Interactive-Group


Do you

use

social

media

for

reviews

?-For

busines

ses-I

read

busines

s

reviews

0

How well do the following items describe other

activities you would be interested in seeing at the

L...-Interactive-Group

0

Count 28



70.0%

Very

Well

Count 6



15.0%

Well

Count 4



10.0%

Neutral

Count 2



5.0%

Total

Count 40



100.0%

900.



Do you

use

social

media

for

reviews

?-For

busines

ses-I

read

busines

s

reviews

1




0

Count 12



60.0%

Very

Well

Count 5



25.0%

Well

Count 2



10.0%

Neutral Count 1




5.0%

Total

Count 20



100.0%

901.



Total




0

Count 40



66.7%

Very

Well

Count 11



18.3%

Well

Count 6



10.0%

Neutral

Count 3



5.0%

Total

Count 60



100.0

%

902.

903. Chi-Square Tests

Value df Asymp. Sig.

(2-sided)

Pearson Chi-Square .927a 3 .819

Likelihood Ratio .897 3 .826

Linear-by-Linear Association .175 1 .676

N of Valid Cases 60

904. a. 5 cells (62.5%) have expected count less than 5. The minimum

expected count is 1.00.

905.

906. CROSSTABS

907. /TABLES=Q4_3_Group BY Q26_2_2





912.

913.

914.

915. Notes


Comments


Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





916.

917.

918. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





919.

920.

921. Notes



Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





922.

923.

924. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=NOTABLES

/STATISTICS=CHISQ

/COUNT ROUND CELL.

Resources





925.

926.

927.


928. Crosstabs

929.

930.

931. Notes


Comments

Input


MARK_311.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


Q26_2_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





932.

933.

934. [DataSet1] C:\Users\cverhoef\Downloads\MARK_311.sav

935.

936.


Cases

Valid Missing

N Percent N Percent

How well do the following items describe other activities you would be

interested in seeing at the L...-Creative-Group * Do you use social media for

reviews?-For businesses-I read business reviews

60 100.0% 0 0.0%

938.


Cases

Total

N Percent

How well do the following items describe other activities you would be interested in seeing at the

L...-Creative-Group * Do you use social media for reviews?-For businesses-I read business

reviews

60 100.0%

939.

940.


How well do the following items describe other activities you would be interested in seeing at the L...-Creative-Group *

Do you use social media for reviews?-For businesses-I read business reviews Crosstabulation

How well do the following items describe other activities

you would be interested in seeing at the L...-Creative-

Group

0

Count



Very

Well

Count



Well

Count



Neutral

Count



Total

Count



941.



Do you

use

social

media

for

reviews

?-For

busines

ses-I

read

busines

s

reviews

0



L...-Creative-Group

0

Count 27



67.5%

Very

Well

Count 7



17.5%

Well

Count 5



12.5%

Neutral

Count 1



2.5%

Total

Count 40



100.0%

942.




Do you

use

social

media

for

reviews

?-For

busines

ses-I

read

busines

s

reviews

1



L...-Creative-Group

0

Count 11



55.0%

Very

Well

Count 4



20.0%

Well

Count 3



15.0%

Neutral

Count 2



10.0%

Total

Count 20



100.0%

943.



Total



L...-Creative-Group

0

Count 38



63.3%

Very

Well

Count 11



18.3%

Well

Count 8



13.3%

Neutral

Count 3



5.0%

Total

Count 60



100.0

%

944.



(2-sided)

Pearson Chi-Square 1.937a 3 .586

Likelihood Ratio 1.829 3 .609


Linear-by-Linear Association 1.463 1 .226

N of Valid Cases 60



947.

948. GET

949. FILE='C:\Users\cverhoef\Downloads\MARK_311RO3.sav'.


951. CROSSTABS

952. /TABLES=Q37_Perception BY Q5





957.

958.

959.

960.

961. Crosstabs

962.

963.

964. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q37_Perception

BY Q5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





965.


966.

967. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





968.

969.

970. [DataSet1] C:\Users\cverhoef\Downloads\MARK_311RO3.sav

971.

972.


Cases

Valid Missing Total


What is your perception of the Lights

Festival? * Did you use the Holiday Guide


60 100.0% 0 0.0% 60 100.0%

974.

975. What is your perception of the Lights Festival? * Did you use the Holiday Guide for the Lights

Festival? Crosstabulation

Did you use

the Holiday

Guide for

the Lights

Festival?

No

Response


Festival? 0

Count 1

% within Did you use the Holiday Guide


20.0%


Very Dissatisfied

Count 0



0.0%

Dissatisfied

Count 0



0.0%

Satisfied

Count 1



20.0%

Very Satisfied

Count 3



60.0%

Total

Count 5



100.0%

976.

What is your perception of the Lights Festival? * Did you use the Holiday Guide for the Lights


Did you use

the Holiday

Guide for

the Lights

Festival?

Yes


Festival?

0

Count 6



27.3%

Very Dissatisfied

Count 1



4.5%

Dissatisfied

Count 2



9.1%

Satisfied

Count 3



13.6%

Very Satisfied

Count 10



45.5%

Total

Count 22



100.0%

977.



Did you use

the Holiday

Guide for

the Lights

Festival?

No


Festival?

0

Count 10



30.3%

Very Dissatisfied

Count 1



3.0%

Dissatisfied Count 3




9.1%

Satisfied

Count 7



21.2%

Very Satisfied

Count 12



36.4%

Total

Count 33



100.0%

978.



Total


Festival?

0

Count 17

% within Did you use the Holiday Guide for

the Lights Festival?

28.3%

Very Dissatisfied

Count 2



3.3%

Dissatisfied

Count 5



8.3%

Satisfied

Count 11



18.3%

Very Satisfied

Count 25



41.7%

Total

Count 60



100.0%

979.



(2-sided)




N of Valid Cases 60


expected count is .17.

982.

983. CROSSTABS

984. /TABLES=Q37_Perception BY Q36_1






989.

990.

991.

992. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q36_1

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





993.

994.

995. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS


BY Q36_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





996.

997.

998. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q35_3

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





999.

1000.

1001.

1002. Crosstabs

1003.

1004.

1005. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q35_4

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1006.



(2-sided)




N of Valid Cases 60

1008. a. 5 cells (50.0%) have expected count less than 5. The minimum expected

count is .73.

1009.

1010. CROSSTABS

1011. /TABLES=Q37_Perception BY Q35_5





1016.

1017.

1018.

1019. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS


BY Q35_5

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1020.

1021.

1022. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q35_6

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1023.

1024.


1026.

1027.


Cases

Valid Missing Total




Festival? * Which media types did you

use as a resource to plan the Lights

Festival activities you wish to atten...-Print


60 100.0% 0 0.0% 60 100.0%

1029.

1030. What is your perception of the Lights Festival? * Which media types did you use as a resource to plan the Lights

Festival activities you wish to atten...-Print (magazine or newspaper) Crosstabulation

Which

media types

did you use

as a resource

to plan the

Lights

Festival

activities

you wish to

atten...-Print

(magazine or

newspaper)

No


Festival?

0

Count 16

% within Which media types did you use

as a resource to plan the Lights Festival



27.6%

Very Dissatisfied

Count 2





3.4%

Dissatisfied

Count 5





8.6%

Satisfied

Count 11





19.0%

Very Satisfied Count 24

1031.

What is your perception of the Lights Festival? * Which media types did you use as a resource to plan the Lights


Which

media types

did you use

as a resource

to plan the

Lights

Festival

activities

you wish to

atten...-Print

(magazine or

newspaper)

Yes

What is your perception of the Lights 0 Count 1


Festival? % within Which media types did you use




50.0%

Very Dissatisfied

Count 0





0.0%

Dissatisfied

Count 0





0.0%

Satisfied

Count 0





0.0%


1032.



Total


Festival?

0

Count 17

% within Which media types did you use as

a resource to plan the Lights Festival



28.3%

Very Dissatisfied

Count 2





3.3%

Dissatisfied

Count 5





8.3%

Satisfied

Count 11





18.3%


1033.




Which

media types

did you use

as a resource

to plan the

Lights

Festival

activities

you wish to

atten...-Print

(magazine or

newspaper)

No


Festival?

Very Satisfied % within Which media types did you use




41.4%

Total

Count 58





100.0%

1034.



Which

media types

did you use

as a resource

to plan the

Lights

Festival

activities

you wish to

atten...-Print

(magazine or

newspaper)

Yes


Festival?

Very Satisfied % within Which media types did you use




50.0%

Total

Count 2





100.0%

1035.



Total


Festival?

Very Satisfied % within Which media types did you use as




41.7%

Total Count 60






100.0%

1036.



(2-sided)




N of Valid Cases 60



1039.

1040. CROSSTABS

1041. /TABLES=Q36_1 BY Q42_Children





1046.

1047.

1048.

1049.

1050. Crosstabs

1051.

1052.

1053. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS

/TABLES=Q36_1 BY

Q42_Children

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1054.

1055.

1056. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q36_2 BY

Q42_Children

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1057.

1058.

1059.

1060. Crosstabs

1061.

1062.

1063. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q36_3 BY

Q42_Children

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1064.

1065.


1067.

1068.


Cases

Valid Missing Total




Lights Festival (1 d...-Live Music * How

many children do you have?

60 100.0% 0 0.0% 60 100.0%

1070.

1071. Please rank the types of activities that would increase your involvement at the Lights Festival (1 d...-Live Music *

How many children do you have? Crosstabulation

How many children do

you have?

0 0




0 Count 3 4

% within How many children do you have? 60.0% 15.4%

1 Count 1 11


2 Count 0 3


3 Count 0 4


4 Count 0 1


5 Count 0 2


6 Count 1 0



7 Count 0 1


Total Count 5 26


1072.

Please rank the types of activities that would increase your involvement at the Lights Festival (1 d...-Live Music * How

many children do you have? Crosstabulation


you have?

1 2




0 Count 8 7


1 Count 0 1


2 Count 0 3


3 Count 0 1


4 Count 1 1


5 Count 0 0


6 Count 0 0


7 Count 0 0


Total Count 9 13


1073.




you have?

3 4




0 Count 1 2


1 Count 0 1


2 Count 0 0


3 Count 1 0


4 Count 0 1


5 Count 0 0


6 Count 0 0


7 Count 0 0


Total Count 2 4


1074.




How many

children do

you have?

Total

5




0 Count 1 26


1 Count 0 14


2 Count 0 6


3 Count 0 6


4 Count 0 4


5 Count 0 2


6 Count 0 1


7 Count 0 1


Total Count 1 60


1075.



(2-sided)




N of Valid Cases 60



1078.

1079. CROSSTABS






1085.

1086.

1087.

1088. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q36_4 BY

Q42_Children

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1089.

1090.

1091.

1092. Crosstabs

1093.

1094.

1095. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q36_5 BY

Q42_Children

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1096.

1097.



1099.

1100.


Cases

Valid Missing Total




Lights Festival (1 d...-Artistic * How many

children do you have?

60 100.0% 0 0.0% 60 100.0%

1102.

1103. Please rank the types of activities that would increase your involvement at the Lights Festival (1 d...-Artistic * How



you have?

0 0



Lights Festival (1 d...-Artistic

0 Count 3 4


1 Count 0 1


2 Count 1 3


3 Count 0 2


4 Count 1 3


5 Count 0 9


6 Count 0 4


Total Count 5 26


1104.

Please rank the types of activities that would increase your involvement at the Lights Festival (1 d...-Artistic * How



you have?

1 2




0 Count 8 7


1 Count 1 1


2 Count 0 0


3 Count 0 1


4 Count 0 2


5 Count 0 1


6 Count 0 1



Total Count 9 13


1105.




you have?

3 4




0 Count 1 2


1 Count 0 0


2 Count 0 1


3 Count 0 0


4 Count 0 0


5 Count 1 1


6 Count 0 0


Total Count 2 4


1106.



How many

children do

you have?

Total

5




0 Count 1 26


1 Count 0 3


2 Count 0 5


3 Count 0 3


4 Count 0 6


5 Count 0 12


6 Count 0 5


Total Count 1 60


1107.



(2-sided)





N of Valid Cases 60



1110.

1111. CROSSTABS






1117.

1118.

1119.

1120. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q36_6 BY

Q42_Children

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1121.

1122.

1123.

1124. Crosstabs

1125.

1126.

1127. Notes



Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q42_Children

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1128.

1129.


1131.

1132.


Cases

Valid Missing Total



Festival? * How many children do you

have?

60 100.0% 0 0.0% 60 100.0%

1134.

1135. What is your perception of the Lights Festival? * How many children do you have? Crosstabulation

How

many

children

do you

have?

0


Festival?

0 Count 3

% within How many children do you have? 60.0%

Very Dissatisfied Count 1




Satisfied Count 0





Total Count 5


1136.

What is your perception of the Lights Festival? * How many children do you have? Crosstabulation

How

many

children

do you

have?

0


Festival?

0 Count 5






Satisfied Count 5




Total Count 26


1137.


How

many

children

do you

have?

1


Festival?

0 Count 3






Satisfied Count 1




Total Count 9


1138.


How

many

children

do you

have?

2


Festival?

0 Count 3







Satisfied Count 3




Total Count 13


1139.


How

many

children

do you

have?

3


Festival?

0 Count 1






Satisfied Count 0




Total Count 2


1140.


How

many

children

do you

have?

4


Festival?

0 Count 1






Satisfied Count 2




Total Count 4


1141.


How

many

children

do you

have?

5


Festival?

0 Count 1







Satisfied Count 0




Total Count 1


1142.


Total


Festival?

0 Count 17






Satisfied Count 11




Total Count 60


1143.



(2-sided)




N of Valid Cases 60



1146.

1147. CROSSTABS

1148. /TABLES=Q32_1 BY Q37_Perception





1153.

1154.

1155.

1156. Notes



Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_1 BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1157.

1158.

1159. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_2 BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1160.

1161.


1162. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_3 BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1163.

1164.

1165. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_4 BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources






1166.

1167.

1168. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_5 BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1169.

1170.

1171. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_6 BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.






1172.

1173.

1174.

1175. Crosstabs

1176.

1177.

1178. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_7 BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1179.

1180. FREQUENCIES VARIABLES=Q4_2_Group_Interactive Q4_3_Group_AdultFocus

Q4_4_Group_Family Q4_5_Group_Social Q4_6_Group_Contest Q4_7_Group_Games Q4_8_Group_Info

Q4_9_Group_Creative Q4_10_Group_Other

1181. /STATISTICS=MEAN MEDIAN MODE

1182. /BARCHART FREQ


1184.

1185.

1186.

1187.

1188. Frequencies

1189.

1190.


1191. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q4_2_Group_In

teractive


Q4_4_Group_Family

Q4_5_Group_Social

Q4_6_Group_Contest

Q4_7_Group_Games

Q4_8_Group_Info

Q4_9_Group_Creative

Q4_10_Group_Other

/STATISTICS=MEAN

MEDIAN MODE

/BARCHART FREQ

/ORDER=ANALYSIS.



1192.

1193.


1195.

1196.

1197. Statistics

How well do

the

following

items

describe

other

activities

you would

be interested

in seeing at

the L...-

Interactive-

Group

How well do

the following

items

describe

other

activities you

would be

interested in

seeing at the

L...-Adult

focused-

Group

How well do

the following

items

describe

other

activities you

would be

interested in

seeing at the

L...-Family

oriented-

Group

How well do

the following

items

describe

other

activities you

would be

interested in

seeing at the

L...-Social-

Group

How well do

the following

items

describe

other

activities you

would be

interested in

seeing at the

L...-

Contests-

Group

How well do

the following

items

describe

other

activities you

would be

interested in

seeing at the

L...-Games-

Group

How well do

the

following

items

describe

other

activities

you would

be interested

in seeing at

the L...-

Informationa

l-Group

N Valid 60 60 60 60 60 60 60

Missing 0 0 0 0 0 0 0

Mean .53 .73 .52 .68 .92 1.02 1.18

Median .00 .50 .00 .00 .00 .50 .50

Mode 0 0 0 0 0 0 0

1198.

Statistics


How well do the following items

describe other activities you would

be interested in seeing at the L...-

Creative-Group

How well do the following items

describe other activities you would

be interested in seeing at the L...-

Other-Group

N Valid 60 60

Missing 0 0

Mean .60 .33

Median .00 .00

Mode 0 0

1199.

1200.

1201.

1202. Frequency Table

1203.

1204.

1205. How well do the following items describe other activities you would be

interested in seeing at the L...-Informational-Group


Percent

Cumulative

Percent

Valid

0 30 50.0 50.0 50.0

Very Well 6 10.0 10.0 60.0

Well 10 16.7 16.7 76.7

Neutral 11 18.3 18.3 95.0

Poorly 3 5.0 5.0 100.0

Total 60 100.0 100.0

1206.

1207.

1208.

1209. Bar Chart

1210.


1211. 1212.

1213.

1214. CROSSTABS

1215. /TABLES=Q4_3_Group_AdultFocus BY Q3_2_After_Stage





1220.

1221. Crosstab

1222. Notes


Comments

Input


MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q4_3_Group_Adult

Focus BY Q3_2_After_Stage

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1223.

1224.


1226.

1227.


Cases

Valid Missing Total




seeing at the L...-Adult focused-Group *




60 100.0% 0 0.0% 60 100.0%

1229.

1230. How well do the following items describe other activities you would be interested in seeing at the L...-Adult

focused-Group * After arriving at the Lights Festival, which activities do you now plan on participating in?

(Select...-BMO Harris Bank Stage Crosstabulation

After

arriving at

the Lights

Festival,

which

activities do

you now

plan on

participating

in?

(Select...-

BMO Harris

Bank Stage

No

How well do the following items describe 0 Count 22




% within After arriving at the Lights

Festival, which activities do you now plan

on participating in? (Select...-BMO Harris

Bank Stage

50.0%

Very Well

Count 12




Bank Stage

27.3%

Well

Count 10




Bank Stage

22.7%

Total

Count 44




Bank Stage

100.0%

1231.

How well do the following items describe other activities you would be interested in seeing at the L...-Adult focused-

Group * After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO

Harris Bank Stage Crosstabulation

After arriving

at the Lights

Festival,

which

activities do

you now plan

on

participating

in? (Select...-

BMO Harris

Bank Stage

Yes




0

Count 8

% within After arriving at the Lights Festival,

which activities do you now plan on

participating in? (Select...-BMO Harris Bank

Stage

50.0%

Very Well

Count 4




Stage

25.0%

Well

Count 4




Stage

25.0%

Total

Count 16




Stage

100.0%

1232.

How well do the following items describe other activities you would be interested in seeing at the L...-Adult focused-

Group * After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO

Harris Bank Stage Crosstabulation

Total



activities you would be interested in seeing at

the L...-Adult focused-Group

0

Count 30




Stage

50.0%

Very Well

Count 16




Stage

26.7%

Well

Count 14




Stage

23.3%

Total

Count 60




Stage

100.0%



(2-sided)


Likelihood Ratio .049 2 .976


N of Valid Cases 60



1235.

1236. GET

1237. FILE='C:\Temp\MARK_311.sav'.


1239. MULT RESPONSE GROUPS=$Describe_festival 'Describe_festival' (Q32_1 Q32_2 Q32_3 Q32_4

Q32_5 Q32_6 Q32_7 Q32_8 (1)) $Daily_Life 'Daily_Life' (Q31_1 Q31_2 Q31_3 Q31_4 Q31_5 Q31_6

Q31_7 Q31_8 Q31_9 (1))

1240. /TABLES=$Describe_festival BY $Daily_Life

1241. /CELLS=TOTAL

1242. /BASE=RESPONSES.

1243. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

MULT RESPONSE

GROUPS=$Describe_festival

'Describe_festival' (Q32_1

Q32_2 Q32_3 Q32_4 Q32_5

Q32_6 Q32_7 Q32_8 (1))

$Daily_Life 'Daily_Life'

(Q31_1 Q31_2 Q31_3 Q31_4

Q31_5 Q31_6 Q31_7 Q31_8

Q31_9 (1))

/TABLES=$Describe_festival

BY $Daily_Life

/CELLS=TOTAL

/BASE=RESPONSES.



1244.

1245.

1246. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$Order_enjoyment

'Order_enjoyment' (Q30_9

Q30_x1 Q30_x2 Q30_x3

Q30_x4 Q30_x5 Q30_x6

Q30_x7 Q30_x8 (1))

$How_frequently

'How_requently' (Q28_1 Q28_2

Q28_3 Q28_4 Q28_5 Q28_6

Q28_7 (1))

/TABLES=$Order_enjoyment

BY $How_frequently

/CELLS=TOTAL

/BASE=RESPONSES.



1247.

1248.

1249. Notes





Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$Increase_involvem

ent 'Increase_involvement'

(Q30_9 Q30_x1 Q30_x2

Q30_x3 Q30_x4 Q30_x5

Q30_x6 Q30_x7 Q30_x8 (1))

/VARIABLES=Q41(4 5)

/TABLES=$Increase_involvem

ent BY Q41

/CELLS=TOTAL

/BASE=RESPONSES.



1250.

1251.

1252. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE

GROUPS=$How_frequently


Q28_3 Q28_4 Q28_5 Q28_6

Q28_7 (1))

/VARIABLES=Q44(1 7)

/TABLES=$How_frequently

BY Q44

/CELLS=TOTAL

/BASE=RESPONSES.



1253.

1254.

1255. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE



(Q30_9 Q30_x1 Q30_x2

Q30_x3 Q30_x4 Q30_x5

Q30_x6 Q30_x7 Q30_x8 (1))

/VARIABLES=Q44(1 7)


ent BY Q44

/CELLS=TOTAL

/BASE=RESPONSES.



1256.

1257.

1258. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

MULT RESPONSE



(Q30_9 Q30_x1 Q30_x2

Q30_x3 Q30_x4 Q30_x5

Q30_x6 Q30_x7 Q30_x8 (1))

$How_frequently


Q28_3 Q28_4 Q28_5 Q28_6

Q28_7 (1))


ent BY $How_frequently

/CELLS=TOTAL

/BASE=RESPONSES.




1259.

1260.

1261. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1262.

1263.

1264. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1265.

1266.


1267. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q36_1 BY Q30_x6

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1268.

1269.

1270. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1271.

1272.

1273.


Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1274.

1275.

1276. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1277.

1278.

1279. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1280.

1281.

1282. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1283.

1284.

1285. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1286.

1287.

1288. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1289.

1290.

1291. Notes


Comments


Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1292.

1293.

1294. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1295.

1296.

1297. Notes





Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1298.

1299.

1300. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1301.

1302.

1303. Notes


Comments

Input Data C:\Temp\MARK_311.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1304.

1305.

1306. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1307.

1308.

1309. Notes


Comments

Input



Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1310.

1311.

1312. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1313.

1314.

1315. Notes


Comments

Input



Filter <none>

Weight <none>


Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1316.

1317.

1318. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1319.

1320.

1321. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1322.

1323.

1324. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1325.

1326.

1327. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1328.

1329.

1330. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1331.

1332.

1333. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1334.

1335.

1336. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1337.

1338.

1339. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1340.

1341.

1342. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1343.

1344.

1345. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1346.

1347.

1348. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1349.

1350.

1351. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1352.

1353.

1354. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1355.

1356.

1357. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1358.

1359.

1360. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1361.

1362.

1363. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1364.

1365.

1366. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1367.

1368.

1369. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1370.

1371.

1372. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1373.

1374.

1375. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1376.

1377.

1378. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1379.

1380.

1381. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1382.

1383.

1384. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1385.

1386.

1387. Notes


Comments

Input

Data C:\Temp\MARK_311R02.sav


Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1388.

1389.

1390. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1391.

1392.

1393. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1394.

1395.

1396. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1397.

1398.

1399. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1400.

1401.

1402. Notes


Comments

Input

Data C:\Temp\MARK_311RO3.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_1 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1403.

1404.

1405. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS

/TABLES=Q25_1 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1406.

1407.

1408. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_2 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1409.

1410.

1411. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_3 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1412.

1413.

1414. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_4 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1415.

1416.

1417. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_5 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1418.

1419.

1420. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_6 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1421.

1422.

1423. Notes


Comments

Input



Filter <none>

Weight <none>


Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_7 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1424.

1425.

1426. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q25_8 BY

Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources





1427.

1428.

1429. Notes


Comments

Input



Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_1_Belonging

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1430.

1431.

1432. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1433.

1434.

1435. Notes


Comments

Input Data C:\Temp\MARK_311RO3.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_3_Relationship

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1436.

1437.

1438. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_4_SelfFulFillment

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1439.

1440.

1441. Notes


Comments Input Data C:\Temp\MARK_311RO3.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_5_WellRespected

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1442.

1443.

1444. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_6_Excitement

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1445.

1446.

1447. Notes


Comments


Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_7_Accomplishment

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1448.

1449.

1450. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_8_Security

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1451.

1452.

1453. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q31_9_SelfRespect

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1454.

1455.

1456. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x8_Art BY

Q31_7_Accomplishment

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1457.

1458.

1459. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_3 BY


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1460.

1461. CROSSTABS

1462. /TABLES=Q3_9_After_Art BY Q31_7_Accomplishment





1467.

1468.


What is your perception of the Lights Festival? * Please rate how important the following items are to you in your daily life (1

star being the least...-Sense of accomplishment

1470.


Cas

es

Val

id

N

What is your perception of the Lights Festival? * Please rate how important the following items are to you in your daily

life (1 star being the least...-Sense of accomplishment

60

1471.



Case

s

Vali

d

Perc

ent

What is your perception of the Lights Festival? * Please rate how important the following items are to you in your

daily life (1 star being the least...-Sense of accomplishment

100.

0%

1472.


Cas

es

Mis

sin

g

N



0

1473.


Case

s

Miss

ing

Perc

ent



0.0%

1474.


Cas

es

Tot

al

N



60

1475.


Case

s

Total

Perc

ent



100.

0%

1476.

1477.

1478.

1479. Crosstabs

1480.

1481.

1482. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_9_After_Art


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1483.

1484.

1485. [DataSet1] C:\Temp\MARK_311RO3.sav

1486.

1487.


After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO Community Art

Project * Please rate how important the following items are to you in your daily life (1 star being the least...-Sense of

accomplishment

1489.


Ca

se

s

V

ali

d

N



accomplishment

60

1490.


Cas

es


Val

id

Per

cen

t

After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO Community

Art Project * Please rate how important the following items are to you in your daily life (1 star being the least...-Sense of

accomplishment

100

.0%

1491.


Ca

se

s

M

iss

in

g

N



accomplishment

0

1492.


Cas

es

Mis

sin

g

Per

cen

t



accomplishment

0.0

%

1493.


Ca

se

s

To

tal

N



accomplishment

60

1494.


Cas

es

Tot

al

Per

cen

t



accomplishment

100

.0%

1495.

1496.




accomplishment Crosstabulation




N

o

Count

% within Please rate how important the following items are to

you in your daily life (1 star being the least...-Sense of

accomplishment

Y

e

s

Count



accomplishment

Total

Count



accomplishment

1497.




Ple

ase

rate

ho

w

im

por

tant

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

lea

st...

-

Sen

se

of

acc

om

plis

hm

ent


0




N

o

Count 23

% within Please rate how important the following items are

to you in your daily life (1 star being the least...-Sense of

accomplishment

95.

8%

Y

e

s

Count 1



accomplishment

4.2

%

Total

Count 24



accomplishment

100

.0

%

1498.




Ple

ase

rate

ho

w

im

por

tant

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

lea

st...

-

Sen

se

of

acc

om

plis

hm

ent

Ver

y

Uni

mp

ort

ant

After arriving at the Lights Festival, which activities do N Count 1




o % within Please rate how important the following items are


accomplishment

100

.0

%

Y

e

s

Count 0



accomplishment

0.0

%

Total

Count 1



accomplishment

100

.0

%

1499.




Ple

ase

rate

ho

w

im

por

tant

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

lea

st...

-

Sen

se

of

acc

om

plis

hm

ent

Uni

mp

ort

ant




N

o

Count 3



accomplishment

100

.0

%

Y Count 0


e

s



accomplishment

0.0

%

Total

Count 3



accomplishment

100

.0

%

1500.




Ple

ase

rate

ho

w

im

por

tant

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

lea

st...

-

Sen

se

of

acc

om

plis

hm

ent

Nei

the

r




N

o

Count 3



accomplishment

100

.0

%

Y

e

s

Count 0



accomplishment

0.0

%

Total Count 3




accomplishment

100

.0

%

1501.




Ple

ase

rate

ho

w

im

por

tant

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

lea

st...

-

Sen

se

of

acc

om

plis

hm

ent

Im

por

tant




N

o

Count 7



accomplishment

100

.0

%

Y

e

s

Count 0



accomplishment

0.0

%

Total

Count 7



accomplishment

100

.0

%

1502.





Ple

ase

rate

ho

w

im

por

tant

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

lea

st...

-

Sen

se

of

acc

om

plis

hm

ent

Ver

y

Im

por

tant




N

o

Count 20



accomplishment

90.

9%

Y

e

s

Count 2



accomplishment

9.1

%

Total

Count 22



accomplishment

100

.0

%

1503.





To

tal




N

o

Count 57



accomplishment

95

.0

%

Y

e

s

Count 3



accomplishment

5.

0

%

Total

Count 60



accomplishment

10

0.

0

%

1504.



(2-sided)




N of Valid Cases 60



1507.

1508.

1509. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_3 BY

Q3_9_After_Art

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources






1510.

1511.

1512. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_3 BY

Q2_9_Prior_Art

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1513.

1514.

1515. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_2 BY

Q3_9_After_Art

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.






1516.

1517.

1518. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_5_After_InStore

BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1519.

1520.

1521.

1522. Crosstabs

1523.

1524.

1525. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS

/TABLES=Q3_5_After_InStore

BY Q31_6_Excitement

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1526.

1527.


1529.

1530.


After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-In-Store Events * Please

rate how important the following items are to you in your daily life (1 star being the least...-Excitement

1532.


Ca

se

s

V

ali

d

N

After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-In-Store Events *

Please rate how important the following items are to you in your daily life (1 star being the least...-Excitement

60

1533.


Cas

es

Val

id

Per

cen

t



100

.0%

1534.


Ca

se

s


M

iss

in

g

N



0

1535.


Cas

es

Mis

sin

g

Per

cen

t



0.0

%

1536.


Ca

se

s

To

tal

N



60

1537.


Cas

es

Tot

al

Per

cen

t



100

.0%

1538.

1539. After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-In-Store Events *


Crosstabulation


you now plan on participating in? (Select...-In-Store Events

N

o

Count


you in your daily life (1 star being the least...-Excitement

Y

es

Count



Total

Count




1540.



Crosstabulation

Plea

se

rate

how

imp

orta

nt

the

foll

owi

ng

item

s

are

to

you

in

you

r

dail

y

life

(1

star

bein

g

the

leas

t...-

Exc

item

ent

0



Events

N

o

Count 17

% within Please rate how important the following items

are to you in your daily life (1 star being the least...-

Excitement

81.0

%

Y

e

s

Count 4



Excitement

19.0

%

Total

Count 21



Excitement

100.

0%

1541.



Crosstabulation


Plea

se

rate

how

imp

orta

nt

the

foll

owi

ng

item

s

are

to

you

in

you

r

dail

y

life

(1

star

bein

g

the

leas

t...-

Exc

item

ent

Ver

y

Uni

mpo

rtan

t



Events

N

o

Count 4



Excitement

80.0

%

Y

e

s

Count 1



Excitement

20.0

%

Total

Count 5



Excitement

100.

0%

1542.



Crosstabulation


Plea

se

rate

how

imp

orta

nt

the

foll

owi

ng

item

s

are

to

you

in

you

r

dail

y

life

(1

star

bein

g

the

leas

t...-

Exc

item

ent

Uni

mpo

rtan

t



Events

N

o

Count 1



Excitement

100.

0%

Y

e

s

Count 0



Excitement

0.0

%

Total

Count 1



Excitement

100.

0%

1543.



Crosstabulation


Plea

se

rate

how

imp

orta

nt

the

foll

owi

ng

item

s

are

to

you

in

you

r

dail

y

life

(1

star

bein

g

the

leas

t...-

Exc

item

ent

Neit

her



Events

N

o

Count 4



Excitement

100.

0%

Y

e

s

Count 0



Excitement

0.0

%

Total

Count 4



Excitement

100.

0%

1544.



Crosstabulation


Plea

se

rate

how

imp

orta

nt

the

foll

owi

ng

item

s

are

to

you

in

you

r

dail

y

life

(1

star

bein

g

the

leas

t...-

Exc

item

ent

Imp

orta

nt



Events

N

o

Count 7



Excitement

87.5

%

Y

e

s

Count 1



Excitement

12.5

%

Total

Count 8



Excitement

100.

0%

1545.



Crosstabulation


Plea

se

rate

how

imp

orta

nt

the

foll

owi

ng

item

s

are

to

you

in

you

r

dail

y

life

(1

star

bein

g

the

leas

t...-

Exc

item

ent

Ver

y

Imp

orta

nt



Events

N

o

Count 17



Excitement

81.0

%

Y

e

s

Count 4



Excitement

19.0

%

Total

Count 21



Excitement

100.

0%

1546.



Crosstabulation

To

tal



Events

N

o

Count 50


to you in your daily life (1 star being the least...-Excitement

83.

3%

Y Count 10


e

s



16.

7%

Total

Count 60



10

0.0

%

1547.



(2-sided)




N of Valid Cases 60



1550.

1551.

1552. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_2 BY

Q3_5_After_InStore

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1553.

1554.

1555. Notes


Comments

Input



Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_4 BY

Q3_5_After_InStore

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1556.

1557.

1558. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_6 BY

Q3_5_After_InStore

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1559.

1560.

1561. Notes


Comments

Input Data C:\Temp\MARK_311RO3.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_4 BY

Q31_3_Relationship

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1562.

1563.

1564. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q4_2_Group_Intera

ctive BY Q32_2

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1565.

1566.

1567. Notes


Comments


Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q4_5_Group_Social

BY Q32_4

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1568.

1569.

1570. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q4_9_Group_Creati

ve BY Q32_3

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1571.

1572.

1573. Notes



Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q4_3_Group_Adult

Focus BY Q3_2_After_Stage

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1574.

1575.

1576. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_3_After_Parade

BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1577.

1578.


1579. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_4_After_Specta

cular BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1580.

1581.

1582. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q32_1

/STATISTICS=MEAN

MEDIAN MODE

/ORDER=ANALYSIS.



1583.

1584.

1585. Notes


Comments Input Data C:\Temp\MARK_311RO3.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x5_InStore

BY Q2_5_Prior_InStore

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1586.

1587.

1588. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q3_5_After_InStore

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1589.

1590.

1591. Notes


Comments


Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1592.

1593.

1594. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q28_1 BY

Q41_Gender

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1595.

1596.

1597. Notes


Comments


Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_6_After_Shoppi

ng BY Q44_Income

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1598.

1599. CROSSTABS

1600. /TABLES=Q3_2_After_Stage BY Q31_2_Fun





1605.

1606.

1607.

1608.

1609. Crosstabs

1610.

1611.

1612. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS

/TABLES=Q3_2_After_Stage

BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1613.

1614.


1616.

1617.

1618. After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO Harris Bank

Stage * Please rate how important the following items are to you in your daily life (1 star being the least...-Fun and

enjoyment Crosstabulation


now plan on participating in? (Select...-BMO Harris Bank

Stage

N

o

Count


to you in your daily life (1 star being the least...-Fun and

enjoyment

Y

e

s

Count



enjoyment

Total

Count



enjoyment

1619.

After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO Harris Bank




Ple

ase

rate

ho

w

imp

orta

nt

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

leas

t...-

Fun

and

enj

oy

me

nt

0



Bank Stage

N

o

Count 17


are to you in your daily life (1 star being the least...-Fun

and enjoyment

81.

0%

Y

e

s

Count 4



and enjoyment

19.

0%

Total

Count 21



and enjoyment

100

.0%

1620.





Ple

ase

rate

ho

w

imp

orta

nt

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

leas

t...-

Fun

and

enj

oy

me

nt

Ver

y

Uni

mp

orta

nt



Bank Stage

N

o

Count 4



and enjoyment

100

.0%

Y

e

s

Count 0



and enjoyment

0.0

%

Total

Count 4



and enjoyment

100

.0%

1621.





Ple

ase

rate

ho

w

imp

orta

nt

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

leas

t...-

Fun

and

enj

oy

me

nt

Nei

ther



Bank Stage

N

o

Count 5



and enjoyment

71.

4%

Y

e

s

Count 2



and enjoyment

28.

6%

Total

Count 7



and enjoyment

100

.0%

1622.





Ple

ase

rate

ho

w

imp

orta

nt

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

leas

t...-

Fun

and

enj

oy

me

nt

Imp

orta

nt



Bank Stage

N

o

Count 2



and enjoyment

33.

3%

Y

e

s

Count 4



and enjoyment

66.

7%

Total

Count 6



and enjoyment

100

.0%

1623.





Ple

ase

rate

ho

w

imp

orta

nt

the

foll

owi

ng

ite

ms

are

to

you

in

you

r

dail

y

life

(1

star

bei

ng

the

leas

t...-

Fun

and

enj

oy

me

nt

Ver

y

Imp

orta

nt



Bank Stage

N

o

Count 16



and enjoyment

72.

7%

Y

e

s

Count 6



and enjoyment

27.

3%

Total

Count 22



and enjoyment

100

.0%

1624.




To

tal

After arriving at the Lights Festival, which activities do N Count 44



Bank Stage

o % within Please rate how important the following items


and enjoyment

73.

3

%

Y

e

s

Count 16



and enjoyment

26.

7

%

Total

Count 60



and enjoyment

10

0.0

%

1625.

1626.

1627. Notes


Comments

Input



Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q28_5 BY

Q3_2_After_Stage

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1628.

1629.

1630. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS


BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1631.

1632.

1633. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


cular BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1634.

1635.

1636. Notes


Comments

Input


1.sav


Filter <none>


Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q3_1_After_Lane

BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1637.

1638. CROSSTABS

1639. /TABLES=Q3_3_After_Parade BY Q31_6_Excitement





1644.

1645.

1646.

1647.

1648. Crosstabs

1649.

1650.

1651. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS


BY Q31_6_Excitement

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1652.

1653.


1655.

1656.


Cases

Valid Missing

N Percent N Percent


participating in? (Select...-Tree Lighting Parade * Please rate how important

the following items are to you in your daily life (1 star being the least...-

Excitement

60 100.0% 0 0.0%

1658.


Cases

Total

N Percent

After arriving at the Lights Festival, which activities do you now plan on participating in?

(Select...-Tree Lighting Parade * Please rate how important the following items are to you in your

daily life (1 star being the least...-Excitement

60 100.0%

1659.

1660. After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-Tree Lighting

Parade * Please rate how important the following items are to you in your daily life (1 star being the least...-Excitement

Crosstabulation



Parade

No

Count



Yes

Count



Total

Count



1661.


After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-Tree Lighting


Crosstabulation

Please

rate

how

importa

nt the

followin

g items

are to

you in

your

daily

life (1

star

being

the

least...-

Excitem

ent

0

After arriving at the Lights Festival, which activities

do you now plan on participating in? (Select...-Tree

Lighting Parade

No

Count 9

% within Please rate how important the following

items are to you in your daily life (1 star being the

least...-Excitement

42.9%

Yes

Count 12



least...-Excitement

57.1%

Total

Count 21



least...-Excitement

100.0%

1662.



Crosstabulation

Please

rate

how

importa

nt the

followin

g items

are to

you in

your

daily

life (1

star

being

the

least...-

Excitem

ent

Very

Unimpo

rtant



Lighting Parade

No

Count 2



least...-Excitement

40.0%


Yes

Count 3



least...-Excitement

60.0%

Total

Count 5



least...-Excitement

100.0%

1663.



Crosstabulation

Please

rate

how

importa

nt the

followin

g items

are to

you in

your

daily

life (1

star

being

the

least...-

Excitem

ent

Unimpo

rtant



Lighting Parade

No

Count 0



least...-Excitement

0.0%

Yes

Count 1



least...-Excitement

100.0%

Total

Count 1



least...-Excitement

100.0%

1664.



Crosstabulation


Please

rate

how

importa

nt the

followin

g items

are to

you in

your

daily

life (1

star

being

the

least...-

Excitem

ent

Neither



Lighting Parade

No

Count 1



least...-Excitement

25.0%

Yes

Count 3



least...-Excitement

75.0%

Total

Count 4



least...-Excitement

100.0%

1665.



Crosstabulation

Please

rate

how

importa

nt the

followin

g items

are to

you in

your

daily

life (1

star

being

the

least...-

Excitem

ent

Importa

nt



Lighting Parade

No

Count 2



least...-Excitement

25.0%

Yes Count 6




least...-Excitement

75.0%

Total

Count 8



least...-Excitement

100.0%

1666.



Crosstabulation

Please

rate

how

importa

nt the

followin

g items

are to

you in

your

daily

life (1

star

being

the

least...-

Excitem

ent

Very

Importa

nt



Lighting Parade

No

Count 10



least...-Excitement

47.6%

Yes

Count 11



least...-Excitement

52.4%

Total

Count 21



least...-Excitement

100.0%

1667.



Crosstabulation

Total



Lighting Parade

No

Count 24



least...-Excitement

40.0%

Yes

Count 36



least...-Excitement

60.0%

Total Count 60




least...-Excitement

100.0

%

1668.



(2-sided)




N of Valid Cases 60



1671.

1672.

1673. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


cular BY Q31_6_Excitement

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1674.

1675.

1676. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>


Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


cular BY


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1677.

1678.

1679. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS



/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1680.

1681.

1682. Notes



Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


ng BY Q31_7_Accomplishment

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1683.

1684.

1685. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


ng BY Q32_6_Fulfilling

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1686.


1687.

1688. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q31_1_Belongi

ng Q31_3_Relationship

Q31_4_SelfFulFillment

Q31_5_WellRespected

Q31_6_Excitement


Q31_8_Security

Q31_9_SelfRespect

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/PIECHART PERCENT

/ORDER=ANALYSIS.



1689.

1690.

1691.

1692. FREQUENCIES VARIABLES=Q31_4_SelfFulFillment

1693. /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM MEAN MEDIAN MODE

SKEWNESS SESKEW


1695.

1696.

1697.

1698.

1699. Frequencies

1700.

1701.

1702. Notes


Comments

Input Data C:\Temp\MARK_311RO3-

1.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q31_4_SelfFulF

illment

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1703.

1704.


1706.

1707.

1708. Statistics

Please rate how important the following

items are to you in your daily life (1 star

being the least...-Self-fulfillment

N Valid 60

Missing 0

Mean 2.50

Median 2.50

Mode 0


Variance 5.102

Skewness -.041

Std. Error of Skewness .309

Range 5

Minimum 0

Maximum 5

1709.

1710. Please rate how important the following items are to you in your daily life (1 star

being the least...-Self-fulfillment


Percent

Cumulative

Percent

Valid

0 24 40.0 40.0 40.0

Very Unimportant 1 1.7 1.7 41.7

Unimportant 5 8.3 8.3 50.0

Neither 2 3.3 3.3 53.3

Important 7 11.7 11.7 65.0

Very Important 21 35.0 35.0 100.0

Total 60 100.0 100.0

1711.

1712. FREQUENCIES VARIABLES=Q31_2_Fun



SKEWNESS SESKEW


1715.

1716.

1717.

1718.

1719. Frequencies

1720.

1721.

1722. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q31_2_Fun

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1723.

1724.


1726.

1727.

1728. Statistics



being the least...-Fun and enjoyment

N Valid 60

Missing 0

Mean 2.65

Median 3.00

Mode 5


Variance 4.943

Skewness -.173


Range 5


Minimum 0

Maximum 5

1729.


being the least...-Fun and enjoyment


Percent

Cumulative

Percent

Valid

0 21 35.0 35.0 35.0


Neither 7 11.7 11.7 53.3

Important 6 10.0 10.0 63.3

Very Important 22 36.7 36.7 100.0

Total 60 100.0 100.0

1731.


After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO Harris Bank Stage *

Please rate how important the following items are to you in your daily life (1 star being the least...-Fun and enjoyment

1733.


Cases

Valid

N



enjoyment

60

1734.


Cases

Valid

Percent

After arriving at the Lights Festival, which activities do you now plan on participating in? (Select...-BMO Harris

Bank Stage * Please rate how important the following items are to you in your daily life (1 star being the least...-Fun

and enjoyment

100.0%

1735.


Cases

Missi

ng

N



enjoyment

0

1736.


Cases

Missing

Percent




and enjoyment

0.0%

1737.


Cases

Total

N



enjoyment

60

1738.


Cases

Total

Percent



and enjoyment

100.0%

1739.

1740. FREQUENCIES VARIABLES=Q31_6_Excitement


SKEWNESS SESKEW


1743.

1744.

1745.

1746.

1747. Frequencies

1748.

1749.

1750. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q31_6_Excitem

ent

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.




1751.

1752.


1754.

1755.

1756. Statistics



being the least...-Excitement

N Valid 60

Missing 0

Mean 2.60

Median 3.00

Mode 0a


Variance 4.956

Skewness -.123


Range 5

Minimum 0

Maximum 5

1757.

a. Multiple modes exist. The smallest

value is shown

1758.


being the least...-Excitement


Percent

Cumulative

Percent

Valid

0 21 35.0 35.0 35.0



Neither 4 6.7 6.7 51.7

Important 8 13.3 13.3 65.0

Very Important 21 35.0 35.0 100.0

Total 60 100.0 100.0

1760.

1761.

1762. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS


ng BY Q31_7_Accomplishment

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1763.

1764. FREQUENCIES VARIABLES=Q31_7_Accomplishment


SKEWNESS SESKEW


1767.

1768.

1769.

1770.

1771. Frequencies

1772.

1773.

1774. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q31_7_Accomp

lishment

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1775.


1776.


1778.

1779.

1780. Statistics



being the least...-Sense of

accomplishment

N Valid 60

Missing 0

Mean 2.57

Median 3.00

Mode 0


Variance 5.199

Skewness -.107


Range 5

Minimum 0

Maximum 5

1781.


being the least...-Sense of accomplishment


Percent

Cumulative

Percent

Valid

0 24 40.0 40.0 40.0



Neither 3 5.0 5.0 51.7

Important 7 11.7 11.7 63.3

Very Important 22 36.7 36.7 100.0

Total 60 100.0 100.0

1783.

1784.

1785. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS


ng BY Q31_4_SelfFulFillment

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1786.

1787.

1788. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q28_1_Shopping

BY Q31_4_SelfFulFillment

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1789.

1790.

1791. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS

/TABLES=Q28_1_Shopping

BY Q31_6_Excitement

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1792.

1793.

1794. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q28_5_LiveMusic

BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1795.

1796.

1797. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>





treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q28_6_Museums


/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1798.

1799.

1800. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q28_5_LiveMusic

BY Q31_2_Fun

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1801.

1802.

1803. Notes


Comments

Input Data

C:\Temp\MARK_311RO3-

1.sav



Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q28_6_Museum

s

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1804.

1805.

1806. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q4_9_Group_Cr

eative

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1807.

1808.

1809. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>





treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q32_3_Creative

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1810.

1811.

1812. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q32_2_Interacti

ve

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1813.

1814.

1815. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.


Syntax

FREQUENCIES

VARIABLES=Q36_5_Art

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1816.

1817. FREQUENCIES VARIABLES=Q36_3_Music


SKEWNESS SESKEW


1820.

1821.

1822.

1823.

1824. Frequencies

1825.

1826.

1827. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q36_3_Music

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1828.

1829.


1831.

1832.

1833.


Statistics Please rank the types of activities that



N Valid 60

Missing 0

Mean 1.38

Median 1.00

Mode 0


Variance 2.986

Skewness 1.356


Range 7

Minimum 0

Maximum 7

1834.

1835. Please rank the types of activities that would increase your involvement

at the Lights Festival (1 d...-Live Music


Percent

Cumulative

Percent

Valid

0 26 43.3 43.3 43.3

1 14 23.3 23.3 66.7

2 6 10.0 10.0 76.7

3 6 10.0 10.0 86.7

4 4 6.7 6.7 93.3

5 2 3.3 3.3 96.7

6 1 1.7 1.7 98.3

7 1 1.7 1.7 100.0

Total 60 100.0 100.0

1836.

1837.

1838. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q36_1_Shoppin

g

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.




1839.

1840.

1841. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.


with valid data.

Syntax

FREQUENCIES

VARIABLES=Q36_5_Art

/STATISTICS=STDDEV

VARIANCE RANGE

MINIMUM MAXIMUM

MEAN MEDIAN MODE

SKEWNESS SESKEW

/ORDER=ANALYSIS.



1842.

1843.

1844. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x6_Shopping

BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1845.


1846. CROSSTABS

1847. /TABLES=Q30_x3_Parade BY Q37_Perception





1852.

1853.

1854.

1855. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x3_Parade

BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1856.

1857.

1858. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used






Syntax

CROSSTABS


BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1859.

1860.

1861. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1862.

1863.

1864. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>



treated as missing.


Cases Used





Syntax

CROSSTABS


BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

EXPECTED COLUMN

/COUNT ROUND CELL.

Resources





1865.

1866.

1867. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS


BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1868.

1869.

1870. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>


Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x3_Parade

BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1871.

1872.

1873. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x4_Spectacular

BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1874.

1875.

1876. Notes


Comments


Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x6_Shopping

BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1877.

1878.

1879. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q30_x2_Stage BY

Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1880.

1881.

1882. Notes



Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_3_Creative

BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1883.

1884.

1885. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_1_FamilyOrien

ted BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1886.


1887. CROSSTABS

1888. /TABLES=Q32_2_Interactive BY Q37_Perception





1893.

1894.

1895.

1896.

1897. Crosstabs

1898.

1899.

1900. Notes


Comments

Input


1.sav


Filter <none>

Weight <none>

Split File <none>




treated as missing.

Cases Used





Syntax

CROSSTABS

/TABLES=Q32_2_Interactive

BY Q37_Perception

/FORMAT=AVALUE

TABLES

/STATISTICS=CHISQ

/CELLS=COUNT COLUMN

/COUNT ROUND CELL.

Resources





1901.

1902.


1904.

1905.


Cases

Valid Missing

N Percent N Percent


After today, you would like for your Lights Festival experience to be

described as: (Select all that...-Interactive * What is your perception of the

Lights Festival?

60 100.0% 0 0.0%

1907.


Cases

Total

N Percent

After today, you would like for your Lights Festival experience to be described as: (Select all

that...-Interactive * What is your perception of the Lights Festival?

60 100.0%

1908.

1909. After today, you would like for your Lights Festival experience to be described as: (Select all that...-Interactive * What

is your perception of the Lights Festival? Crosstabulation

After today, you would like for your Lights Festival experience

to be described as: (Select all that...-Interactive

No

Count

% within What is your perception of the Lights

Festival?

Yes

Count


Festival?

Total

Count


Festival?

1910.

After today, you would like for your Lights Festival experience to be described as: (Select all that...-Interactive * What


What is

your

perceptio

n of the

Lights

Festival?

Very

Dissatisf

ied

After today, you would like for your Lights Festival

experience to be described as: (Select all that...-Interactive

No

Count 16


Festival?

94.1%

Yes

Count 1


Festival?

5.9%

Total

Count 17


Festival?

100.0%

1911.




What is

your

perceptio

n of the

Lights

Festival?

Dissatisf

ied



No

Count 1


Festival?

50.0%

Yes

Count 1


Festival?

50.0%

Total

Count 2


Festival?

100.0%

1912.



What

is your

percept

ion of

the

Lights

Festiva

l?

Neutral



No

Count 4


Festival?

80.0%

Yes

Count 1


Festival?

20.0%

Total

Count 5


Festival?

100.0

%

1913.



What is

your

percepti

on of

the

Lights

Festival

?

Satisfie

d



No

Count 8


Festival?

72.7%

Yes

Count 3


Festival?

27.3%

Total Count 11



Festival?

100.0%

1914.



What is

your

perceptio

n of the

Lights

Festival?

Very

Satisfied



No

Count 12


Festival?

48.0%

Yes

Count 13


Festival?

52.0%

Total

Count 25


Festival?

100.0%

1915.



Total



No

Count 41


Festival?

68.3%

Yes

Count 19


Festival?

31.7%

Total

Count 60


Festival?

100.0

%

1916.



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1918. a. 5 cells (50.0%) have expected count less than 5. The minimum expected

count is .63.

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BY Q37_Perception

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1922.


Appendix item 3: Field Notes from Key Informant Interview Key Informant Interview with Key Contacts September 9, 2013

Group questions:

1. How does the involvement of sponsors reflect on the festival?

Sponsors represent the brand through their advertisement.

The association won’t align with sponsors that do not make the event better.

High member renewal rate, with sponsors ++90%

They make the event content better, building floats, 42 units which they help build in whichever way they want.

2. How have sponsors helped present, promote, and enhance the magnificent mile?

3. What information was provided on the Holiday Activity Guide?

Special offers and events as part of the Festival

Encourages businesses in the area to drive traffic in stores- whether it be 20% off in-store purchase or X off kids

meals

Way to highlight promotions

Schedule of events

Tips of viewing areas

Can be downloaded on site

4. What alternative methods have been present aside from the Holiday Activity Guide?

Having lights festival component- application and money are barriers; website is mobile friendly

Considering going to sponsors and committees (for the app to be made)

Considerations- compare domestic vs. international visitors

Looking at sources of media to get the guidebook

Website magmile.com jumps about 300,000 consumers

5. Where can the guide be found prior and during the festival?

6. What incentives do you provide to draw people back after the festival? (back to Michigan Ave)

Syndicated broadcast aired after event, three times locally, and then national broadcast (harder to crack)

Public art component

No traceable offers!

Struggle with members to come up with plan and to come back and tell assoc.

Add traffic counters and then compare to last season

What’s the traceable piece of that??

7. How does the Lights Festival draw profit to the retail stores?

8. In the past few years, what changes have you made to the festival?

Every year event has become bigger, 20 years ago only starting with a few vehicles

Now event draws millions of people for a FREE PUBLIC event

This year- refreshing the brand new logo to identify as brand

What has been a success?

Someone created concept (sponsorship)

From sponsorship perspective, since 2006, assoc. took ownership of direction of the mag mile lights festival

Disney has been a long term partner- only private/public event that they contribute to (unless if they own it!)

What has been a failure?

Public safety- share with police, security.

9. How have technological changes affected the planning process and the event?

Other Group’s Questions:

Katie- Communication manager assists with different communication strategies up to the day of the event;

includes social media, website, printed materials, and creative materials.


Joel- with marketing agency; marketing co-chair, role is to lead the direction and put together goals of

marketing committee.

Daniel Thomas- job and objective to bring consumer campaigns--, strategic direction of consumer campaign

Ellen- VP Marketing, efforts to build business along Mag Mile

What are you as a trade association doing to advance during the lights festival?

Objective of the association is to make sure the sponsors and their engagement are ultimately met

Wide range of sponsors, large funding from them, finance 100% sponsors

MEET SPONSORS OBJECTIVE

Trade association think of themselves as a consumer brand rather than a business association (members

relations with business, hotels, restaurants, retails) want to make event live on past the day of the event

This event serves to advance consumer brand of mag mile

Make sure people know about mag mile as a destination

What do you currently do to promote the event?

Aggressive communication plan from the holiday activity guide, social media, website, good

advertisement via radio and print, try to touch every media point

Official media is ABC7, clear channel (radio fm) and Kiss FM, radio Disney, and Amp1300?

ABC7 Broadcasts nationally, broadcasted live

Who decides what events get put on?

Everything is driven by a committee.

Sponsors drive to enhance programming to activate brand only to improve event experience and brand

perspectives in the market place.

4x4 tile to combine piece of art in pioneer court, objective for event to live on

BMO’s way to connect with consumers and increase value of…

What is something you hope to accomplish this year, different from previous years?

Challenge to add Guiness Book Record’s for world’s largest holiday carol.

Festival day 10AM to 4PM, at 4PM they start to close the avenue

At this point, want to create more experience and warm up vibe

From 4PM to 5PM celebratory build-up

5PM parade starts

Televised time begins at 6

Social media- engaged effectively, could improve, each year taking steps forward, this year they want to

take a leap.

FB just surpassed 30,000

Twitter 7-8,000

FourSq -16,000

Social media and special offers cross over on website and push out on social media

Try to utilize all communication channels

Social media goals- how to show data from social media to segment toward future goals

What is your goal this year that you are trying to achieve?


Multiple goals- from sponsorship prospective, make sure you get their objective and are able to execute

and delivered properly

Public engagement to event is SAFE and SECURE

Ultimate goal- every consumer and person that come to event is happy “great event”

Some challenges around people and congestion, balancing act, want consumer insight on that

How to communicate public safety, ideas- text campaigns, text alerts

Public safety plans- closing an area might piss someone off, was the right safety play put into place?

Social Media- Check-in deals?

Membership, sponsors get to submit offers to communicate that; some members are more creative than

others, others struggle to promote.

Consider having a badge as members, reliance on members to come up with offers

On note of making it more enjoyable- consider making it more interactive past the show (three blocks

back) (not worth the effort)

Spread people north and onto east side of the street, message out in advance

Where the fireworks are is very congested (by Pioneer park, by the lake)

Spread out activities

Sponsor data, pictures of the crowd—What are we documenting, what just happened, how to make it

better?

In what ways do you work with the city, CTA, to make the event accessible? Opportunities for

improvement?

Huge public transportation day, limited parking

Work closely with Michigan ave; Michigan Ave doesn’t ever really close

Lots of relationship building, working closely with old men of the city

Benefits like tax; hotel occupancy increase

Inconvenience to some service boards, but hope benefit outweighs it

What crowd control measures do you currently have in place?

Great amount of Chicago Police and work with private security firm

Continue to expand security

Same police mgmt year after year, know event very well, able to make game day decisions

Social media- phone use, there are times that it is limiting, time of day more than anything, where it

blanks out

5PM-6PM parade starts

What about free wifi in area?

Every sponsor chooses to activate brand in their own way

Environmental aspect?!! MAG MILE IS NOT GREEN… lights are not LED

In what ways are you planning on promoting the new logo?

Don’t need to physically buy media, because of sponsorship opportunity


Appendix item 4: Focus Group Moderator Guide

Engagement questions:

What was your favorite activity at the Lights Festival? Why?

What did you observe when participating in your favorite activity?

How would you describe the ways you engaged in the Lights Festival?

Exploration Questions:

What particularly motivated or influenced you to participate in the Lights Festival activities?

What were the highlights and pitfalls of the Lights Festival activities?

When you attended the Lights Festival, how did you plan your day?

What opportunities are there to further your engagement during the Lights Festival?

How did you hear about the activities you participated in?

What kinds of new experiences would you like to see at the Lights Festival?

What are your favorite ways to spend your time during the holiday season?

If you were in charge of making improvements to the Lights Festival experience, which actions would you

take?

How effective do you view the Lights Festival’s use of social media to be?

How would you respond to the following statement? “There is a lack of variety in the activities at the Lights

Festival.”

Exit question:

Is there anything else you would like to say about the activities at The Lights Festival?


Appendix item 5: Semi-Structured Observations Provide an overall description of what happens during the observation, noting time frames and focusing on

activities that relate to the following areas:

Date: 11/23/2013

Time: 2:00-4:00 PM

Place: Michigan Avenue

Number of consumers observed: ~12

Location of observation: Pioneer Court/Argo Tea

Approximate length of time spent in store or other

natural setting:

30 minutes

Pseudonyms for consumers involved: N/A

Other categories to note: (miscellaneous: what cues or stimuli sparked

curiosity)

Context: Behavior/Interactions

Provide a description of the interactions that happened during the observation.

What are the participants doing? If more than one consumer is observed, how do they interact both with each

other, other non-participants if around, and the observation environment selected?

During the observation at pioneer court, two families and one couple were observed. The first family had two

young children. They waited in line for several Lights Festival Lane activities and were overheard referencing

the cold weather and the “ridiculous” wait times. The second family also had two small children in strollers.

The children were crying and this family was also overheard discussing the weather and whether or not to stay

at the Lights Festival because of it. The young couple was seen asking Lights Festival volunteers for

information on specific events, such as the starting times and locations. They wandered around Pioneer Court

for a while, and were observed using their smartphones and the Lights Festival guide shortly after asking for

help. Another couple in Argo Tea made mention of the cold weather and the large crowds. They discussed

waiting in the store until the parade began.

Talked to people about shopping and in-store events, not many people seemed to know of special events going

on outside pioneer court, but assumed that there were good deals just because the holiday season. More people

with shopping bags than expected. When asked how they heard of the deals, many just said it was while

window shopping, and the few that said they knew that a store was having a sale they heard through social

media or from attending the event in the past.

Physical setting: Describe the physical setting as richly as possible. For example, if a retail environment is

observed, merchandising and atmospheric details are important to situate the participants in an environment

designed by marketers. Describe promotional materials such as signage. Appropriate adjustments will be made

if participants interact with a virtual environment .

The environment that the observed participating in was shaped by the Lights Festival. Pioneer Court was

transformed into Lights Festival Lane, hosting tents and activities of various sponsors and members. The street

was set up for the parade with barricades and volunteers helping guide attendees. Signs for the Lights Festival,

members and sponsors, and businesses were posted along Michigan Avenue. Within Argo Tea, there was not


enough seating for all of the customers. Crowding within Argo Tea could be attributed to the cold weather,

which was approximately 23 degrees on the day of the festival.

Social or interpersonal setting: Which participants are interacting? How are non-participants arrayed in the

environment? If applicable, how do the store or retail space employees interact with consumers ? How are

participants and non-participants facilitating communication: in person or via mobile devices?

The most interactive and involved consumers seemed to be the families, who were active within Pioneer Court,

Argo Tea, and various activities and retailers along Michigan Avenue the day of the festival. Sponsors and

members in Pioneer Court engaged participants varying by the business type and their offering. Each member

had their own designated tent space in Lights Festival Lane. Within Argo Tea, the store manager was showing

customers free areas where they could wait and making sure everything was in order. Participants and non-

participants were communicating primarily in person, although participants were observed frequently using

their phones to text and call others and sponsors/members were encouraging participants to engage with their

brands online.

Observational Environments: How might varying observation environments be appropriate? What differences

or similarities might be revealed when in a physical environment compared to a virtual environment?

Making detailed observations of consumers in alternate environments could be beneficial to discover how

surroundings invoke different behaviors in consumers. For instance, Pioneer Court had different activity than

did Grand Avenue because of each location’s proximity to different activities, accessibility to transportation,

etc. Activity also varied from Michigan Avenue and side streets in that most of the Lights Festival activities are

directly on Michigan Avenue, such as shopping, the parade, Lights Festival Lane, BMO Harris Bank Stage, etc.

Making observations within a virtual environment, such as attendee social media activity, could have helped

with observing the Lights Festival because trends are much more visible and accessible in virtual environments.


Appendix item 6: Client Round Table Content


Appendix item 7A: Resume Nic Icaza

6532 N Lakewood, Chicago, IL 60626 901.826.8189

[email protected]

EDUCATION

Loyola University Chicago Quinlan School of Business Bachelor of Business Administration Chicago, IL Major: Marketing Expected May 2015 GPA: 3.6 Dean’s List Relevant Coursework: Basic Marketing Research, Consumer Behavior, Advertising/Creative Copywriting, Information Systems

WORK EXPERIENCE

Academic Tutor Chicago House & Social Service Agency-Chicago, IL August 2011- Present

· Tutors and mentors students K-12, ensuring their academic success and reinforcing a positive work

ethic and attitude

· Assists students with the high school/college application process

· Provides administrative support to supervisor while maintaining a respectful and productive

environment for students

Gallery Assistant Galesburg Civic Art Center-Galesburg, IL Sept 2009- August 2011

· Operated the front desk, welcoming and assisting artists and customers

· Handled opening and closing gallery while maintaining a clean and organized gallery and gift shop

· Performed sales transactions, inventory, weekly cash reconciliation, and stocked merchandise in gift shop

SKILLS & ABILITIES

Computer: Mac OSX, Windows, MS Office Suite (including MS Access, Excel), Adobe Creative Suite, Final Cut Pro, Google Analytics/AdWords, Research tools (Passport GMID, Statista, Mintel), Basic HTML/CSS Other: Detail oriented, able to work independently and under pressure, excellent at problem solving and multitasking


Appendix item 7B: Resume

Louis Jaime 1232 W. Albion Avenue ~ Chicago, IL 60626 ~ (630) 768-5506 ~ [email protected] ~ LinkedIn Profile

EDUCATION AND CERTIFICATIONS

LOYOLA UNIVERSITY CHICAGO QUINLAN SCHOOL OF BUSINESS Chicago, Illinois

Bachelor of Business Administration Spring 2015 Majors: Marketing and Operations Management

KISHWAUKEE COMMUNITY COLLEGE Malta, Illinois

Associates of Arts Spring 2012

Loyola University Chicago Leadership Development Certification Anticipated Spring 2014

Illinois Food Service Sanitation Manager Certification (FSSMC) 2011

TECHNICAL SKILLS

WORK EXPERIENCE

HONOR FINANCE Evanston, Illinois

Customer Service Representative October 2013 –Current

Provided inbound calling customers with account details, payment history, and payment processing services

Collaborated with Customer Service Representatives and Account Managers to generate solutions for arising customer issues

Elicited pay-by-dates for delinquent customers, in order to resolve past due accounts, and generate follow-up dates for Account

Managers

THE GREATER NORTH MICHIGAN AVENUE ASSOCIATION Chicago, Illinois

Marketing Intern September 2013 – Current

Aided with event operations for The BMO Harris Bank Magnificent Mile 2013 Lights Festival

Generated follower growth on social media outlets by centralizing posts around key hash-tags and engaging titles, while focusing on

the business development of the members

Created content updates for TheMagnificentMile.com and e-communications, in unison with The Magnificent Mile brand, and to

bolster communication through consumer channels

Contacted key partners of the Lights Festival to coordinate crucial components of the event

Provided support to the VP of Marketing and Communications, Marketing Associate, and PR Associate by researching and

summarizing information

TARGET Chicago, Illinois

Team Member/Team Leader July 2007 – Current

Strengthened the relationship with guests by creating long-lasting connections, and contributing unexpected value to each guest

experience

Designed an organized catalog to minimize missed sales opportunities, resulting in a 3% ($115,000) increase in yearly sales

Promoted Target's mobile app, Cartwheel, to cultivate user activity, consumer loyalty, and generate additional sales

Identified and developed the strengths and opportunities of 6 Team Members to exceed department productivity goals

Formed a relationship with external partners to compromise on product placement, improve order accuracy by providing feedback on

sale trends, and adjust the selling price to remain competitive

Recognized by leadership for surpassing the company's conversion rate for Target REDcard applications

ACADEMIC ACTIVITIES

QUINLAN SCHOOL OF BUSINESS CASE COMPETION 2013

Collaborated in a team setting to present an in-depth business proposal to a board of panelists - based around Intel, the utilization of

their preexisting technology, and to raise environmental efficiency in India. The project's primary focus was to persuade business

professionals to expand into an unsaturated market, and to open a new sector of Intel's business - in order to remain competitive with

the rise in popularity of the ARM processor.

GFK NEXTGEN MARKETING RESEARCH COMPETITION 2013

Team Leadership WordPress Marketing Communications

Microsoft Office Social Media Marketing Marketing Research

Customer Service Merchandising SPSS

mailto:[email protected]

http://linkd.in/1djfpjL


Generated a marketing research abstract based on ways to optimize innovation and competition for organizations, through social

media platforms. As a result, the proposal was selected from a variety of strong entrants as a top 10 finalist in the competition. The

research's primary focus was to identify the visibility of social media marketing during the holiday season, compare the involvement

of consumers on social media to business activities, and generate social media market strategies to further engage consumers during

the holiday season. Additionally, the research illuminates potential areas of development through integration of consumer content and

brand interactions.

MARKETING RESEARCH SERVICE LEARNING PROJECT 2013

Conducted quantitative and qualitative marketing research on behalf of The BMO Harris Bank Magnificent Mile 2013 Lights Festival.

The research centralized around identifying the visibility of activities leading to and on the day of the festival, investigating

consumers’ desired level of involvement, comparing involvement of consumers to overall market segment activity, and generating

ways to further engage consumers during the Lights Festival.


Appendix item 7C: Resume

Chloe VerHoef 5240 North Sheridan Road, Apartment 1008 • Chicago, IL 60640

319.331.3952 • [email protected]

Education Loyola University Chicago, Quinlan School of Business Bachelor of Business Administration in Accounting Minors: French GPA: 3.451 Graduation: December 2013 CPA eligible summer 2013 Study Abroad Rome, Italy Loyola University Chicago, John Felice Rome Center Spring Semester 2012 General Undergraduate Studies Program Personal Focus: Finance, Management, and Italian Studies Aix-en-Provence, France University of Provence July 2011 3 week French language immersion program Internship Accounting Intern December 2012-January 2013 The Arc of Southeast Iowa Iowa City, IA ⋅ Compared and reconciled internal records to CPA Audit results ⋅ Completed asset depreciation schedule for 2012 ⋅ Grant Reconciliation – The Arc is a non-profit organization Work Experience Direct Care Provider November 2008-June 2011 The Arc of Southeast Iowa Iowa City, IA ⋅ Maintained direct care for children with disabilities in both a one-on-one and group setting ⋅ Worked independently with little or no supervision ⋅ Documented all performed services to Medicaid standards Sales Associate September 2011-December 2011 TopShop, Arcadia Inc. Chicago, IL ⋅ Performed over 100 cash transactions daily and reconciliations at day’s end ⋅ Exercised patience and a positive attitude during busy seasons such as holidays ⋅ Acted as a mentor and resource to newly hired employees, especially as cashier Volunteer Work Paws Chicago: 2009-2011 Chicago, IL ⋅ Cared for animals including walking, socialization, and cleaning University of Iowa Hospitals: 2008 Iowa City, IA ⋅ Organized, prepared and relayed information between Hospital units ⋅ Interacted with adult patients, played with pediatric unit patients Ambassadors Club (a volunteer leadership club): 2007-2009 Iowa City, IA ⋅ Chosen/acted as a student representative of the High School in various school sponsored events Relevant Skills/Achievements ⋅ Experience operating Microsoft Excel as well as all other Microsoft Office programs ⋅ Advanced French speaking and reading abilities ⋅ Loyola Dean’s List Spring and Fall 2011, Spring 2012


Appendix item 7D: Resume

Iris Wen Current Address: 1257 W. Arthur Ave., Garden Unit, Chicago, IL 60626 | Permanent Address: 52874 Sawmill Creek Drive, Macomb, MI 48042

| [email protected] | 586.913.5916 |

Education

Loyola University Chicago, Chicago, IL Expected Graduation December 2014

Bachelor in Business Administration

Major: Accounting and Marketing

Eisenhower High School, Shelby Twp., Michigan Graduated June 2011

National Honor Society- Fundraising Committee Head, National Art Honor Society, National French Honor Society

Work Experience

Entertainment Cruises, Chicago, IL May 2013- August 2013

Sales and Marketing Summer Intern: Identified customer needs and provided accurate information to customers

Demonstrated expert use in company’s database software for reservations with over 100 calls every shift.

Presented an internship project to company’s board of executives to incorporate an internship blog to increase employee

involvement and increase outside interest in the internship

Banana Republic- Michigan Ave., Chicago, IL May 2012- January 2013

Sales Associate: Conducted a personalized enhanced in-store shopping experience while balancing multiple customers

Delivered engaging customer service with consistent results and encouraged returning customers through interpersonal

relationship skills and active listening

Buzzer Real Estate, Inc., Chicago, IL June 2012- August 2012

Broker Assistant Intern: Organized the schedule of the managing broker and increased response time with clients

Executed effective marketing skills through social-networking, e-mails, and maintaining up-to-date listings from realtors

Possessed proficiency in organization and oral communication skills through exemplary database listings

Loyola Student Ambassador, Chicago, IL September 2011- May 2012

Student Ambassador: Facilitated tours, recruited students during open house events, and represented school for guests

Established open relationships for perspective students to ask questions and seek advice

Skills Fluency with Chinese (Mandarin, spoken), SPSS, Qualtrics, public speaking

Leadership Experience

Alpha Kappa Psi- Gamma Iota Chapter April 2012- Present

Interchapter Committee Head: Implemented new relationship and communication aids between chapters, planned

fundraiser for scholarship fund between chapters to increase networking ability between schools

Vice President of Alumni Relations: Restored and validated over 150 alumni contacts with the chapter, designed monthly

newsletter to inform alumni on current events, upcoming dates, and announcements, coordinated community and fraternal

events with local businesses, incorporated various alumni in fraternal workshops and events to increase participation and

achieve innovative connections for the future

Special Events Committee Head: Deliberated tasks to plan for annual brother retreat, allocated budget to facilitate retreat,

diversified activities, assisted other committees to plan and execute events with resources used in previous semesters

Pledge Class Social Committee Head: Scheduled meetings to construct, rehearse, and achieve a successful variety show to

perform for the brothers, provided strong communication skills to establish a positive and open environment

Active Brother: Outstanding attendance to events, emphasize strong commitment to ethical standards and improving

communities, promote recognition of the organization on campus with customized marketing plans.

Eisenhower Student Council May 2008- June 2011

Senior Class Treasurer: Executed and maintained budget for year-round activities with money left to charity

Homecoming Decorations Committee Head: Developed and implemented theme, worked with outside suppliers to manage

budget, scheduled and distributed tasks among committee of 20 to finish in a timely manner

Junior Class President: Emphasized commitment to a positive class spirit in the school, successfully raised $2,000 for

charity

GNMAA Marketing Research Service Learning Project

Marketing

Transcript of GNMAA Marketing Research Service Learning Project