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Model Fit Chi-Square in MPLUS versus ... |
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Hello all, Please forgive a potentially naive question that may have been answered already. I have fit a very simple 1 factor model with 4 indicators and I wanted to compare the MPLUS output with results from LISREL (and SAS). I am finding that my results differ substantially and I assume that I am not parameterizing the model in MPLUS correctly. Just to aid discussion, I have pasted my MPLUS syntax below. TITLE: Testing SAS and MPLUS output; DATA: FILE IS C:\projects\fuchs\data\mplus_math.dat; FORMAT IS FREE; TYPE IS INDIVIDUAL; NOBSERVATIONS ARE 634; NGROUPS = 1; VARIABLE: NAMES ARE PRCBMDIG ADDTESTC SUBTESTC APRTOT NPRTOT FPRTOT SPRTOT ; usevariables are APRTOT NPRTOT FPRTOT SPRTOT; ANALYSIS: TYPE IS GENERAL; ESTIMATOR IS ML; ITERATIONS = 1000; CONVERGENCE = 0.00005; MODEL: F1 by APRTOT*1 NPRTOT*1 FPRTOT*1 SPRTOT*1 ; F1 @1; OUTPUT: SAMPSTAT RESIDUAL STANDARDIZED; This model gives me a chi-square fit value of 8.304 (df=2) but the “identical” model in LISREL (and SAS) gives me a chi-square of 1.48 (with 2dfs). Any thoughts would be deeply appreciated. |
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It is possible that you have hit a local solution for some reason. If you send your Mplus input, data, output, and license number to support@statmodel.com, I will be happy to look at this. Please also inlcude either the SAS or LISREL full output. |
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Thanks for looking at this! |
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