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OverviewChi-square is a family of distributions commonly used for significance testing. The most common variants are the Pearson chi-square test and the likelihood ratio chi-square test. Significance testing, of which chi-square tests are a type, is also treated in a separate section. |
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For this example, the SPSS output from the Analyze, Descriptive Statistics, Crosstabs menu choice looks like this:
For the example above, which has 1 degree of freedom, the computed likelihood ratio value of 3.3980 is significant at the .065 level. This compares to the .068 level for Pearson chi-square for the same table. Continuity-corrected chi-square is .144 for the table. (All for 2-sided tests).