Why are chi square tests not ideal for testing the statistical significance of measures of association between ordinal variables?
A) Degrees of freedom for chi square tests are dependent on sample size, whereas degrees of freedom for tests of no association with gamma are not dependent on sample size.
B) Chi square tests cannot be calculated on an EPSEM sample.
C) Chi square tests can only be calculated for bivariate tables with the same number of rows and columns.
D) Chi square tests only whether the cell frequencies occurred by chance, not whether the association is different from the null value of 0.

Question

Quizplus · Accepted Answer

Chi square tests assess whether observed frequencies differ from expected frequencies under the null hypothesis of independence, but they do not measure the strength or direction of association between ordinal variables.

Why Are Chi Square Tests Not Ideal for Testing the Statistical