SPSS Guide
Crosstabs
Analyze Descriptive Statistics Crosstabs
Choose the a nominal variable from the left and move it to the “Row(s)” box on the right
Choose another nominal variable from the left and move it to the “Columns(s)” box on the right
Click on the “Statistics” button and check the “Chi-square” box
Click on the “Cells” button and check the “Observed”, “Expected” and “Adjusted standardized” boxes
Click “OK”
Output: Check to see that no more than 20% of cells have an expected count of less than 5. Then check that the Pearson Chi-Square is significant. Lastly look at the “Adjusted Residual” to see if it is greater than 1.96 or less than -1.96.
One-Sample T-test
Analyze Compare Means One-Sample T-test
Choose the scale (interval or ratio) variable on the left to be tested and move it to the right window
In the “Test Value” box enter the value you to which you want to compare the mean
Click “OK”
Output: SPSS gives you a 2-tailed significance value. For a one tailed test you double the significance value.
Independent Samples T-test
Analyze Compare Means Independent Samples T-test
Choose the scale (interval or ratio) variable(s) on the left to be tested and move it to the upper “Test Variable(s)” right window
Choose the nominal variable on the left and move it to the “Grouping Variable” box at the bottom right. Click on the “Define Groups” button to tell SPSS which groups to compare.
Click “OK”
Output: You must examine the Levene’s test to determine which significance value to use. If Levene’s test is significant you use the “Equal variances not assumed” significance value. Otherwise use the “Equal variances assumed” significance value.
One-way ANOVA
Analyze Compare Means One-way ANOVA
Choose the scale (interval or ratio) variable(s) on the left to be tested and move it to the upper “Test Variable(s)” right window
Choose the nominal