How to interpret chi-square results
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- how to run a chi square test of independence in spss
Pearson chi-square interpretation...
Chi-square test of independence - spss
A Chi-Square Test of Independence is used to determine whether or not there is a significant association between two categorical variables.
This tutorial explains how to perform a Chi-Square Test of Independence in SPSS.
Example: Chi-Square Test of Independence in SPSS
Suppose we want to know whether or not gender is associated with political party preference.
We take a simple random sample of 500 voters and survey them on their political party preference. The following table shows the results of the survey:
| Republican | Democrat | Independent | Total | |
| Male | 120 | 90 | 40 | 250 |
| Female | 110 | 95 | 45 | 250 |
| Total | 230 | 185 | 85 | 500 |
Use the following steps to perform a Chi-Square Test of Independence in SPSS to determine if gender is associated with political party preference.
Step 1: Enter the data.
First, enter the data in the following format:
Step 2: Use weighted cases.
In order for the test to work correctly, we need to tell SPSS that the variables Party and Gender should be weighted by the variable Count.
Click the Data&n
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