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John posted on Wednesday, May 04, 2016 - 1:17 pm
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Please excuse my ignorance given how new I am to Mplus. I am aiming to assess model fit output for a model with 5 continuous variables and 1 binary variable (so I am using WLSMV estimation). I have 3 related questions: 1- Is the chi-square value useful when I get this message: "*The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used for chi-square difference testing in the regular way. MLM, MLR and WLSM chi-square difference testing is described on the Mplus website. MLMV, WLSMV, and ULSMV difference testing is done using the DIFFTEST option."? 2- Would I only get WRMR output when both continuous AND binary variables are in the model? 3- Relatedly, would I only get SRMR output when only continuous variables are in my model? Many thanks. |
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1. That is a standard message and does not reflect on the fit of your model. 2. We no longer recommend relying on WRMR. 3. The output will tell. The CFI index is usually a reasonable fit measure. |
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John posted on Friday, May 06, 2016 - 6:52 am
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Thanks for your reply. What exactly does the "Chi-Square Test of Model Fit for the Baseline Model" tell you? |
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This is used to compute CFI and TLI. It is a model of free means and variances for all observed variables in the model and covariances among the exogenous and endogenous variables. |
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Charlotte posted on Tuesday, May 31, 2016 - 9:49 pm
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Hello, Following up on Dr. Muthen's response on 5/4/16, "2. We no longer recommend relying on WRMR." 1) Why are you no longer recommending relying on WRMR? 2) My understanding from previous postings was that WRMR was a statistic that was computed if a model included binary items, and that it replaced SRMR. Provided that my understanding has been correct, is there a way for us to compute SRMR in Mplus given that WRMR is no longer deemed reliable? Thank you! |
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WRMR is an experimental fit statistic. It always has been. It is not a replacement for SRMR. If SRMR is available, it is given automatically. |
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Charlotte posted on Friday, June 03, 2016 - 1:46 pm
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Thank you! Following up now on the response to the first post in this thread, I have a question about the following: "1. That is a standard message and does not reflect on the fit of your model." Does this mean that the values for the chi-square and df in the chi-square test of model fit can be interpreted as is? Or, does a different test need to be run to get an appropriate chi-square test of model fit? Thank you! |
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The chi-square test can be used as is, but chi-square difference testing when comparing models need a special approach shown on our website. |
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Charlotte posted on Tuesday, June 07, 2016 - 10:28 pm
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Thank you! |
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