If you also want a measure of effect size, select Phi and Cramer’s V in the same dialog box, and then press Continue, otherwise just press Continue.
Once you’ve got your variables into their correct boxes, you can set up the chi square test by hitting the Statistics button, and selecting the Chi-square option in the dialog that appears. You can drag and drop, or use the arrows, as above. It doesn’t matter which variable goes into which box. You need to get one of these variables into the Row box, and the other into the Column box. In our example, it’s two variables, but if you have more than two, you’ll need to identify the two you want to test for independence. This will cause the crosstabs dialog to appear. To begin the calculation, click on Analyze -> Descriptive Statistics -> Crosstabs. We want to find out whether the two categorical variables (in this case, Eating and Religion) are associated with each other – that is, are they dependent or independent? The chi square test is appropriate for this task. The result will appear in the SPSS output viewerĪs usual with these quick tutorials, we’re starting from the assumption that you have already imported your data into SPSS, and you’re looking at a Data View screen that looks something like this (though with different categorical values, and perhaps additional columns).Press Continue, and then OK to do the chi square test.Click on Statistics, and select Chi-square.Drag and drop (at least) one variable into the Row(s) box, and (at least) one into the Column(s) box.Click on Analyze -> Descriptive Statistics -> Crosstabs.
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