1. SPSS (Statistical Package for Social Science)
Dr.LILLY GEORGE
Head of the Department,
Department of Statistics,
St. Joseph’s College,
Trichy.

2. Introduction: What is SPSS?
Originally it is an acronym of Statistical Package for the Social Science but now it stands for Statistical Product and Service Solutions
One of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions

3. Opening SPSS The default window will have the data editor
There are two sheets in the window:
1. Data view 2. Variable view

4. Scales of Measurement Nominal Scale - groups or classes Gender
Ordinal Scale - order matters
Ranks (top ten videos)
Interval Scale - difference or distance matters – has arbitrary zero value.
Temperatures (0F, 0C), Likert Scale
Ratio Scale - Ratio matters – has a natural zero value.
Salaries

5. The basic analysis of SPSS that will be introduced in this class
Frequencies
This analysis produces frequency tables showing frequency counts and percentages of the values of individual variables.
Descriptives
This analysis shows the maximum, minimum, mean, and standard deviation of the variables
Linear regression analysis
Linear Regression estimates the coefficients of the linear equation

6. Frequencies
Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘Frequencies’

8. Descriptives
The options allows you to analyze other descriptive statistics besides the mean and Std.
Click ‘variance’ and ‘kurtosis’
Finally click ‘Continue’
Click
Click

9. Descriptives
Finally Click OK in the Descriptives box. You will be able to see the result of the analysis.

10. Graphs
Click ‘Graphs,’ ‘Legacy Dialogs,’ ‘Interactive,’ and ‘Scatter plot’ from the main menu.

12. Bar Chart

13. Pie Chart

14. Line Chart

15. Histogram Really just a bar chart that displays “Num of Cases” only
Click “Display Normal Curve” to inspect if your distribution deviates from normal

16. Regression Analysis
Click ‘Analyze,’ ‘Regression,’ then click ‘Linear’ from the main menu.

17. Regression Analysis

18. One-Sample t Test
Tests for difference between sample mean and pre-determined population mean
Click “Analyze”  “Compare Means”  “One- Sample T Test…”
“Test Value” = Predetermined population mean
Options:
Exclude Cases Listwise = If multiple variables used, only use cases that have values on ALL variables
Exclude Cases Analysis by Analysis

19. One-Sample T Test

20. Independent-Samples t Test
Tests if two unrelated samples differ significantly from one another
Click “Analyze”  “Compare Means”  “Independent-Samples T Test…”
“Test Variable(s)” = DV
“Grouping Variable” = IV
Click “Define Groups…”
MergeFile1.sav – Male = 1; Female = 0
If IV dimensional, can use cut point to create groups – i.e. x > 7 = Grp 1, x ≤ 7 = Grp 2
Levene’s Test for Equality of Variances
If significant, equal variances cannot be assumed

21. Independent-Samples t Test

22. Paired-Samples t Test
Tests if two related samples differ significantly from one another
Click “Analyze”  “Compare Means”  “Paired-Samples T Test…”

23. THANK YOU