When scores on quantitative variables are collapsed into intervals,the power of the chi-square test is reduced relative to that of a parametric test.

Question

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When scores on quantitative variables are collapsed into intervals, information is lost and the data are transformed into categorical variables. This reduces the power of the chi-square test which is designed for categorical data. Parametric tests, on the other hand, make use of the original quantitative data and may have greater power depending on the circumstances.

When Scores on Quantitative Variables Are Collapsed into Intervals,the Power