An introduction to spss course book

An Introduction to SPSS

Escola Superior de Tecnologia de Saúde do Porto Registration deadline: 15 Jun 2015 — Training date: 2 Jun 2015 to 8 Jul 2015

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Table of Contents Abstract ............................................................................................................................ 3

Resume ............................................................................................................................. 5

Training Format: ................................................................................................................ 5

Course Requirements: ....................................................................................................... 5

Facilities: ........................................................................................................................... 6

Interaction with tutor and other students: ........................................................................ 6

Requirements for pass: ..................................................................................................... 6

Course Fee: ....................................................................................................................... 6 Learning Outcomes: .......................................................................................................... 7

Modules: ........................................................................................................................... 7

Learning Aims: .................................................................................................................. 7

Outline: ............................................................................................................................. 1 Module 1. Open SPSS Window and data file ................................................................................ 1 Module 2. Work in Data Editor .................................................................................................... 1 Module 3. Work with SPSS Syntax – comprehension/ application) ............................................. 1 Module 4. Read Data .................................................................................................................. 2 Module 5. Create And Editing Charts ........................................................................................... 2 Module 6. Work With Multiple Data Sources .............................................................................. 2 Module 7. Summarize Individual Variables .................................................................................. 3 Module 8. Create of a small data file and computation of new variables ..................................... 3 Module 9. Edit and Modify datasets ............................................................................................ 3 Module 10. Describe multiple variable relationships ................................................................... 4 Module 11. Select Subsets Of Cases ............................................................................................ 4 Module 12. Work With SPSS Output ............................................................................................ 4

Literature: ......................................................................................................................... 5

Software: .......................................................................................................................... 5

Course TimeTable: ............................................................................................................. 5



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Abstract

This is a practical course that will introduce participants to SPSS and its uses for

statistical analysis through hands-on experience.

The course will consist of interactive online (audio and video) lectures. The

lectures will begin with theory introduction and its real world application followed

by practical session on SPSS.

The course instructor will conduct twice a week online chats with the participants

and will answer the question and discuss different issues regarding data analysis.

Also, individual questions will be answered in online course forum.

First things first...what is SPSS?

SPSS (Statistical Package for Social Scientists) is a comprehensive statistical and

data management package for analysts and researchers. SPSS makes statistical

analysis more accessible for the beginner and more convenient for the

experienced user.

SPSS is regarded to be the most widely used statistical software in social

sciences, and it has become a common tool also in other sciences (economics,

biology etc.).

During the course both pedagogically prepared "artificial" data and data from real

surveys are used.



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Resume Course name An Introduction to SPSS Year 2015 Edition 1ª Duration and course load 24h Credits 5 ECTS Beginning date 11-‐04-‐2015 End date 08-‐07-‐2015 Periodicity(hours/day) 6 Weeks: 2 sessions per week; 2 hours per day

Maximum participant number 20

Level: Beginner

Participants:

The course is suitable for individuals who are new to SPSS or who feel they would

benefit from a refresher course.

Researchers, M&E Professionals, Data Analysis and would be researchers and data

analysts.

Instructor: Rosa Oliveira

Training Format:

All materials are made available through Online-Learning Approaches.

Approximately 24 hours time commitment of your time per week. Twice a week

feedback from committed instructors will be provided. Participants are expected to

submit weekly assignments to earn certificate of completion

Duration and course load: 6 Weeks – 2 hours per day

Course Requirements:

• No advanced prior knowledge on statistics is required, all the needed

concepts will be explained.

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• No advanced prior knowledge on SPSS is required.

• Experience with basic functions of the computer interface.

• Students must have access to a computer and version 22 of SPSS. In

presential sessions, students are welcome to bring their own laptops if

preferred, but everyone wishing to bring their own computer should ensure

the software is licensed before attending.

Facilities: • Students have unlimited access to all materials plus Tutor support.

Interaction with tutor and other students: Students that have any queries can post a message at any time in the Discussion section in which

the Tutor or any fellow student can respond. Alternatively, can post a private message to the Tutor.

Requirements for pass:

Minimum attendance: 75% of classes (9 days)

Minimum homework grade: 75% submitted and classified with

Submit a short statistical research on the discussed data set

Course Fee:

€250 per participants



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Learning Outcomes: Present different types of data in an appropriate manner

Perform statistical analysis

Present findings of data analysis in a research proposal

Identify areas/issues/situations where statistical analysis would be beneficial

Collect, analyze and interpret data relevant to their decision-making.

Use SPSS to calculate statistical measures and interpret SPSS outputs.

Understand how to apply relevant statistical techniques to solve the underlying

problems/issues

Report on statistical findings

Modules:

1. Open an SPSS Window and data file

2. Work in Data Editor

3. Work with SPSS Syntax – comprehension/ application)

4. Read Data

5. Create And Editing Charts

6. Work With Multiple Data Sources

7. Summarize Individual Variables

8. Create of a small data file and computation of new variables

9. Edit and Modify datasets

10. Describe multiple variable relationships

11. Select Subsets Of Cases

12. Work With SPSS Output

Learning Aims:

The course is aimed to cover some of the most frequent applications of SPSS.

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Modules specific aims.



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Outline: Module 1. Open SPSS Window and data file

Brief description and history of SPSS Running SPSS and the Initial window(s)

a. Introduction

b. Running SPSS

c. Basic Steps Of Data Analysis

d. Starting SPSS

e. Opening A Data File

f. Familiarizing with SPSS Main Menu And Toolbar

g. Running An Analysis Summary Exercises

h. Viewing Results

EXERCISES

Module 2. Work in Data Editor

Data Editor And Defining

a. Data Editor Views

b. Variable View: Defining Variable Properties

c. Entering Data In The Data View

d. Define Variable Properties Dialog Box

e. Viewing Variable Properties

f. Saving The Data And Exiting SPSS

EXERCISES

Module 3. Work with SPSS Syntax – comprehension/ application)

Working with SPSS Syntax

a. Introduction

b. Pasting And Running Syntax

c. Editing Syntax

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d. Syntax Help

e. Typing And Saving Syntax

f. Opening And Running A Syntax File

g. Understanding The Session Journal

EXERCISES

Module 4. Read Data

Reading Data

a. Introduction

b. Basic Structure Of An SPSS Data File

c. Reading An SPSS Data File

d. Reading Data From Spreadsheets

e. Reading Data From A Database

f. Reading Data From A Text File

g. Saving Data

h. Reading Fixedcolumn Text Data (optional)

EXERCISES

Module 5. Create And Editing Charts

Creating And Editing Charts

a. Introduction To SPSS Charts

b. The Chart Builder

c. The Chart Editor

d. Creating Charts To Display Scale Variables By Subgroups

e. Creating A Paneled Chart

EXERCISES

Module 6. Work With Multiple Data Sources

Working With Multiple Data Sources

a. Introduction

b. Basic Handling Of Multiple Data Editor Windows Summary Exercises

c. Copying And Pasting Information Between Datasets Chapter

d. Copying Data Properties Feature

e. Change Option Setting To Single Dataset



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EXERCISES

Module 7. Summarize Individual Variables

Summarizing Individual Variables

a. Objectives Of Descriptive Statistics

b. Levels Of Measurement

c. Summarizing Nominal Variables

d. Summarizing Ordinal Variables

e. Summarizing Scale Variables

f. Assessing Degree Of Missing Data With Descriptive Procedure

EXERCISES

Module 8. Create of a small data file and computation of new variables

Creation of a small data file and computation of new variables a. Preliminary considerations about data structures

b. Creation of a data dictionary

c. Entering data

d. Moving around the data

e. Editing data

f. Computation of new (or existing variables)

g. Import data from excel

EXERCISES

Module 9. Edit and Modify datasets

Edit and Modify datasets

a. Introduction

b. Automatic Recoding Using Automatic Recode

c. Saving The Updated Data Files

d. Recoding Category Values

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e. Creating A Category Variable From A Scale Variable

EXERCISES

Module 10. Describe multiple variable relationships

Describing multiple variable relationships a. Introduction

b. Describing Multiple Variable Relationships

c. Objectives And Applications

d. Crosstabulation Tables

e. Counts Vs Percentages

f. Means Procedure

g. Significance Testing For Crosstabulations (optional)

EXERCISES

Module 11. Select Subsets Of Cases

Selecting Subsets Of Cases

a. Introduction

b. Select Cases

c. Select Cases Using If Criteria

d. Split File Processing

EXERCISES

Module 12. Work With SPSS Output

Working With SPSS Output

a. Introduction

b. The Output Viewer

c. Exiting SPSS With Multiple Data Editor Windows Using The Pivot Tables

Editor

d. Converting A Table Into An Interactive Chart

e. Printing The Output Viewer Contents

f. Saving Output

g. Using Results In Other Applications

EXERCISES



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Literature: • Princípios de Bioestatística by Marcellho Pagano and Kimberlee Gauvreau, 2000

• Statistics at Square One by Swinscow (available at

http://www.gulunap.unina.it/docu/Nutricam_statistics.pdf)

• Análise de dados para Ciências Socias – a complementaridade do SPSS by Maria

H. Pestana and João N. Gageiro

Software: • IBM SPSS Statistics version 22

Course TimeTable:

Course timetable is defined in Biostatistics courses timetable.

An introduction to spss course book

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