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I have not used MPLUS before and am trying to find out whether it is appropriate to analyse my data. I have a model that looks at the relationship between group perceptions and group performance. I only have level 2 data for my DV (i.e., one rating of group performance for each group) but have about five ratings for each group for each of my IV's (group perceptions). I am interested in examining the relationship between group level variance (while partialling out individual level variance) in the IV and relating this to my group level DV. Does MPLUS handle a level 2 DV such as this? 


Yes. In the Between part of the Mplus 2level model you let the betweengroup part of the IV's influence the level 2 DV, where the level 2 DV is put on the Between = list. 


Hello, may I ask a followup question of understanding: (1) Do I understand this correctly that Jaimi's model/Bengt, your answer refers to the problem of predicting higherlevel variables from lowerlevel variables? (2) If (1) is correct  which statistical literature illustrates the approach (as used in Mplus) to predict higherlevel variables from lowerlevel variables? Thanks 


1. Yes. 2. Bengt has a note on this. You can request it from bmuthen@ucla.edu. 

Jim Shaw posted on Sunday, April 22, 2007  9:28 pm



You indicated that Dr. Bengt Muthen wrote a paper on the subject of modeling grouped data from individual data. What is the reference for this paper? I am analyzing data from a clinical trial. Patients were put on a drug at baseline and then followed monthly at a clinic for 3 months. At each clinic visit, patients completed a questionnaire asking about their functional status during the preceding month. There are 3 sets of questionnaire data for each patient. Between visits, each patient made diary entries recording his ability to perform a certain healthrelated act. Each time this act was carried out, another diary entry was made. I want to model the data collected at the clinic visits as a function of the diary data collected during the preceding visit interval, i.e., Y_ijk = X_ijk + ... + e_ijk where i=1,...,N indexes the patient, j=1,...,3 indexes the visit interval, k=1,...,K_ij indexes the kth diary entry for the ith patient during the jth visit interval, and Y_ijt = Y_ijs for arbitrary s and t. Based on your previous post, I believe I could fit this model using ordinal logistic regression. A robust variance estimator could be applied to account for arbitrary withinpatient correlation. Alternatively, I could fit a multilevel model to the data. I am sending you my Mplus code by email. Do you have any suggestions for how I should model my data? 

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