ML vs. MLR for IRT models PreviousNext
Mplus Discussion > Categorical Data Modeling >
 Lesa Hoffman posted on Friday, September 24, 2010 - 5:50 am
What is the difference between ML and MLR for IRT models (i.e., assuming categorical data and full information estimation)? For continuous data, I understand that MLR is supposed to help adjust SEs and test statistics for non-normality, but if normality is not assumed for categorical data to begin with, then what does MLR have to offer over ML? I apologize if this topic is already addressed elsewhere, but I could not find it. Thanks in advance for any direction you can provide!
 Linda K. Muthen posted on Friday, September 24, 2010 - 4:49 pm
We know of no large study of this. MLR may be less sensitive to small degrees of model misspecification.
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