Multiple comparisons and inflated typ... PreviousNext
Mplus Discussion > Structural Equation Modeling >
 Denise Haynie posted on Thursday, September 14, 2017 - 3:34 pm
A reviewer has asked about protections for type 1 error in my analysis. I have run 6 separate path models examining the cross-lagged associations of two variables at three time points, and include several demographic covariates (regressed on time 1). I have found only 2 papers looking at multiple comparisons in SEM (Cribbie, 2007, and Smith and Cribbie, 2010) who suggest an False Discovery Rate (FDR) approach. I am wondering if 1) is multiple comparisons often a concern with these types of models? and 2) any suggestions for how to implement an FDR approach - that is, would it include only the alpha's for the paths, or all of the parameters? Thank you
 Bengt O. Muthen posted on Thursday, September 14, 2017 - 4:02 pm
You want to ask this general analysis question on SEMNET.
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