When employing PARTIAL CORR to test an intervening variable, which of the following is not an indicator of a correct model: A) the correlation between adjacent variables will be greater than between non-adjacent categories B) the correlation between adjacent variables will be less than that between non-adjacent categories C) r_xy.I = 0 D) r_xy

Question

When employing PARTIAL CORR to test an intervening variable, which of the following is not an indicator of a correct model: A) the correlation between adjacent variables will be greater than between non-adjacent categories B) the correlation between adjacent variables will be less than that between non-adjacent categories C) r_xy.I = 0 D) r_xy < r_xI or r_Iy

Quizplus · Accepted Answer

When employing partial corr to test an intervening variable, the correlation between adjacent variables should be less than that between non-adjacent categories. Option A is incorrect because a higher correlation between adjacent variables is an indication of a common method bias. Option C is incorrect because it shows that the intervening variable has no correlation with the outcome variable, which is not a desirable outcome. Option D is incorrect because it is not a standard indicator of a correct model.

When Employing PARTIAL CORR to Test an Intervening Variable, Which