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Dear Dr. Muthen, I modeled and did invariance testing for a CFA with 15 measured variables and 6 latent factors for two groups using the GROUPING option. All worked fine. Now I want to regress these 6 factors on a binary (observed) dependent variable. I used Estimator=MLR since data were non-normal (not missing though). This above SEM ran correctly when I did not specify GROUPING, and gave me odds ratios. But when I try to do SEM for two groups, it gives me this error: ALGORITHM=INTEGRATION is not available for multiple group analysis. Try using the KNOWNCLASS option for TYPE=MIXTURE. However, I get even more issues if I try to do the above. Is there a solution for SEM with two groups and a binary observed DV? Something obvious that I'm overlooking? Note that if I don't declare my DV as CATEGORICAL=, it gives me estimates with no problems. However, I'm not sure if this is the way I'm supposed to do it. Any help is much appreciated! Thanks, Geetu |
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Knownclass is the way to go. Send the output for which you had "even more issues" to Support along with your license number. |
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Dear Prof Muthen, I have tried the following code using KNOWNCLASS: (putting only a part of my code since all won't fit). I'm now getting this error message: Invalid value in KNOWNCLASS option: MALE Please can you help me figure out why this is happening? My outcome is adhered and subgroups are defined by gender. Many thanks! Geetanjali CATEGORICAL = adhered; KNOWNCLASS = GENDER (1=Male 2=Female); CLASSES = GENDER (2); MODEL: %OVERALL% f1 BY c56 c57 c58; f2 BY c44 c45 c47 c49; f3 BY c48 c50; f4 BY c51 c55; f5 BY c43 c46 c52; f6 BY c61; adhered ON f1-f6; ANALYSIS: ESTIMATOR = MLR; TYPE = MIXTURE; |
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Please send your full output to Support along with your license number. |
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mdehne posted on Friday, January 31, 2020 - 6:04 am
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I am running in the same error. I don't think it has to do with the values since a multi group model is working. Could you please provide me with some help? Kind regards, Mathias |
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The multi-group language is different from the Knownclass language. For Knownclass, see the V8 UG page 628 with an example on page 110. |
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