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The examination of cross-classified category data is common in evaluation and research, with Karl Pearson’s family of chi-square tests representing one of the most utilized statistical analyses for answering questions about the association or difference between categorical variables. Unfortunately, these tests are also among the more commonly misinterpreted statistical tests in the field. The problem is not that researchers and evaluators misapply the results of chi-square tests, but rather they tend to ove

Author

meksy

Language

EN