Costaatt spss presentation

Learning ObjectivesYou will learn:

The two main windows available in SPSSHow to set-up a data entry pageHow to work with variables, such as add and

recode themHow to perform descriptive analysisHow to conduct simple correlations

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SPSS WindowsThere are SIX different windows that can be accessed when using SPSS.The Data EditorThe Output NavigatorThe Pivot Table EditorThe Chart EditorThe Text Output EditorThe Syntax Editor

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The Output Navigator This window displays the statistical

results, tables and charts from analyses you perform.

The window opens automatically when you run a procedure that generates output.

Here, you can edit, move, delete and copy results.

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Tree diagram of the Current

Output Results of Statistical Analysis

Getting Started The capabilities of SPSS are vast. For this introductory module, we will use

a simple survey as part of a hypothetical study.

Take a look at the Sample Survey and note the information that is collected with each item.

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Sample Survey

First Name__________Gender: M F Age:_____Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed

On a scale of 1 to 10, how confident are you that you will learn to use SPSS?

1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name __Linda________Gender: M F Age:_29_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: __Andy_Gender: M F Age:_35_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Karina_Gender: M F Age:_31_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Graham_Gender: M F Age:_37_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Mark_Gender: M F Age:_51_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Douglas_Gender: M F Age:_30_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Paula_Gender: M F Age:_40_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Zach_Gender: M F Age:_43_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Donna_Gender: M F Age:_42_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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First Name: _Martin_Gender: M F Age:_27_Employment Status: Part Time Full TimeMarital Status: Single Married Divorced Widowed


1 2 3 4 5 6 7 8 9 10 Not at All Very

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Recode VariablesThe Confidence variable indicates participants' responses to the question: On a scale of 1 to 10, how confident are you that you will learn to use SPSS? Their responses are currently Scale data (1 – 10). To make a comparison of the participants who answered with a low, medium, or high response, you can create groups (Nominal data).

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CorrelationA Pearson correlation analyzes

relationships between parametric, or linear (interval or ratio which are Scale in SPSS) variables.

If ordinal, use Spearman Rho correlation coefficient, even if not from a normal distribution.

You can enter several variables and get a matrix of the direction and strength (-1 to 1) of relationships, if there is a relationship.

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To examine the relationship between Age and Confidence, start by restating the hypothesis.

Hypothesis: It is hypothesized that there will be a significant

negative relationship between Age and Level of Confidence .

This is directional so it is one-tailed. Variables and Level of Measurement:

Variable1: Age (Scale)Variable 2: Level of Confidence (Scale)

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Scatter plot A scatter plot is a common method of

displaying the results of a bivariate correlation. You can add a third variable by entering it at set markers.

One variable is represented on each axis and the dots represent the intersection of participants’ scores on the two variables.

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Good Job! You have almost completed this lesson. Just 2 more steps.

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Step 1 - Print the output file (SPSS Viewer) Select: File > Print > OK

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Step 2 Answer the questions on the next slide.If you find that they are difficult to answer,

you should:Go back through the lessonReview your SPSS textEmail me at [email protected]

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Post - Test1. What percentage of the participants were

females?2. What was the average age of the participants?3. How many males were in the High Confidence

group and how many females where in that group?

4. Was the relationship between Age and Confidence significant (<.05)?

5. Did your graph display the difference between variables or the relationship between variables?

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Congratulations You have now

Set-up a data entry page.Added and recoded variables.Performed descriptive analysis on nominal

and scale variables.Conducted a Pearson correlation and

created a scatter plot for the results.

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Thank You Your comments and questions are

appreciated and may be directed to:

○ Paula Sellier○ Math Department○ COSTAATT○ [email protected]

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Costaatt spss presentation

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