Lesa Hoffman posted on Friday, September 24, 2010 - 11:50 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!