Helpdesk IBM SPSS Statistics 20 For students from Arnhem Business School  
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Analysis Chisquare Test for a CrosstabulationBy means of a chisquare test for a crosstabulation you test whether there exists a relationship between two variables or whether there are differences between groups with respect to a measured variable. On this page we show you how to perform the chisquare test and also how to visualize the result. The presentation takes the following steps:
Note: In the section on testing you find some explananation of the method and way of thinking for testing of hypotheses. Hypotheses:In a number of districts in both Arnhem and Nijmegen
research was done regarding the internet use of the people
there (data from Spring 2004). H_{0}: There are no differences between the districts regarding the
internet use. Asking for the test using SPSSWe make a crosstabulation of the two variables involved. Next we click the
"Statistics..." button and tick the box for Chisquare.
The SPSS outputChecking the chisquare conditionsIn order for a chisquare test to give reliable results the crosstabulation has to satisfy certain conditions. They are:
These conditions are reported by SPSS as a footnote in the chisquare output. In our example we find:
Hence both conditions are satisfied and a chisquare test is valid for our crosstabulation. Note: If the conditions are not
satisfied one might adjust the crosstabulation by either
combining some of the rows or columns in a logical way or by
deleting some rows or columns that cause this problem (as
long as this can be justified). Interpreting the outputThe "Pearsons Chisquare" has a significance of 0.021. Hence we can reject the null hypothesis with a
significance of 0.021. Posthoc analysisWe have established that there are differences between the districts. The logical next question is: What exactly are these differences?
Answer 2: Use a stacked bar chart to visualize the differences. We obtain a stacked bar chart through the Chart Builder.
We put the districts on the Xaxis and use V01 to determine
the stacks.

Last modified
30102012
© Jos Seegers, 2009; English version by Gé Groenewegen. 