The case for validity generalization across situations becomes stronger if ________.
A) correlation coefficients are negative
B) the standard error of measurement is large
C) differences in method and statistical differences are controlled
D) reliability is low

Question

Quizplus · Accepted Answer

Validity generalization is the extent to which a predictor is valid across various situations. In order to strengthen the case for validity generalization, it is important to control for differences in method and statistical differences across situations so that the predictor can be compared across the different situations. Therefore, the correct answer is C. A negative correlation coefficient indicates that there is no relationship between the predictor and the criterion, so it does not necessarily strengthen the case for validity generalization. A large standard error of measurement reduces the accuracy of the predictor, but it does not necessarily affect its validity across situations. Low reliability would affect the usefulness of the predictor, but it does not necessarily affect its validity across situations.

The Case for Validity Generalization Across Situations Becomes Stronger If