Spss Chi Square Interpretation. One of the problems in interpreting chi square tests is the determination of which cell or cells produced the statistically significant difference. Since sex has only 2 categories male or female using it as our column variable results in a table that s rather narrow and high.
The steps for interpreting the spss output for a chi square 1. Statistical independence or association between two or more categorical variables. Ezspss on youtube our video tutorial uses a different data and includes a slightly more detailed discussion of the logic of the test and the result.
Examination of percentages in the contingency table and expected frequency table can be misleading.
The chi square test for independence also called pearson s chi square test or the chi square test of association is used to discover if there is a relationship between two categorical variables. In spss the chi square independence test is part of the crosstabs procedure which we can run as shown below. Look at the crosstabulation table. The steps for interpreting the spss output for a chi square 1.
