Incremental Validity PreviousNext
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 Anonymous posted on Tuesday, June 07, 2011 - 9:01 pm
I need to analyze incremental validity of an assessment measure (X) using Mplus.
To do so, I begin the model with a single predictor variable, then add a second variable to test its incremental validity in predicting the criteria over the first variable. An adequate incremental validity of the X will be signified by a statistically significant difference between the values of adjusted R2 for the first and second steps of the model. How do I calculate the change in R-square and, more importantly, the significance of that change in Mplus ?
 Bengt O. Muthen posted on Wednesday, June 08, 2011 - 12:12 am
I actually don't know. You need the asymptotic covariance of both (adjusted) R2's and take into account that they are not independent. Anyone?
 Anonymous posted on Wednesday, June 08, 2011 - 1:08 am
Is there any other way to test incremental validy of a measure, besides testing the significance of R-Square change?
 Anonymous posted on Wednesday, June 08, 2011 - 1:40 am
For example, in one article (In press, not published yet), the authors analyzed incremental validity of a newly-developed assessment measure by using multilevel random intercept-only regression modeling. I beleive this method is explained in your user book under EXAMPLE 9.1( TWO-LEVEL REGRESSION ANALYSIS FOR A CONTINUOUS DEPENDENT VARIABLE WITH A RANDOM INTERCEPT). In your opinion, is this a right way to test incremental validity? Any other suggestions?
 Bengt O. Muthen posted on Wednesday, June 08, 2011 - 2:23 pm
You may want to ask this question on SEMNET given its general nature.
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