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are there any special concerns with this model. it seems to be using some sort of quadrature in the estimation and takes forever to converge. the code i used is below. any advice would be great. thanks. ================================= TITLE: Binary outcome on CFA DATA: FILE IS L:\data_mil_1_3a.dat; FORMAT IS free; TYPE IS individual; OUTPUT: STAND; VARIABLE: NAMES ARE mil hhinc medu fedu hhincx unempx; USEVARIABLES ARE mil hhinc medu fedu hhincx unempx; CATEGORICAL IS mil; MISSING ARE .; ANALYSIS: TYPE IS missing meanstructure; ESTIMATOR IS ML; MODEL: mil ON ses; ses BY hhinc medu fedu hhincx unempx; |
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This model requires numerical integration. I think it would be only one dimension so I don't know why it would be particularly slow. If you send the input, data, output, and your license number to support@statmodel.com, I can look into it. |
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Muthen and Muthen, Quick question regarding a binary DV SEM model. I am running a logit SEM model with a binary DV and I noticed that there is no r-squared in the output. Is there any way of obtaining an r-squared or do I interrupt this using the odds ratios? Below is my mplus code: DATA: FILE IS SouthKorea.csv; VARIABLE: NAMES ARE V1....V253 PCuse2 d_PL d_JP d_SK d_PL1 ed5 ed6 lowinc highinc; USEVARIABLE ARE V1....V25 PCuse2 d_PL d_JP d_SK d_PL1 ed5 ed6 lowinc highinc; MISSING = ALL(-9999); CATEGORICAL = PCuse2; ANALYSIS: estimator = ml; INTEGRATION = MONTECARLO(500); MODEL: gnT by V4 V6 V7 V8; PCuse2 on V23 V23 V24 ed5 ed6 lowinc highinc gnT; |
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The STANDARDIZED option of the OUTPUT command produces R-square. |
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Thank you! I used STDYX in the model. I received this output: R-Square Observed Estimate S.E. Est./S.E. P-Val Variable PCUSE2 .640 .053 12.232 0.000 etc. etc. Questions: Is the R-sqr the coefficient listed under 'Estimate'? Or how would I interpret this section of the output? |
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Yes. The first column is R-square. The second is its standard error. The third is the ratio of the estimate to its standard error which is a z-test in large samples. The p-value for this z-test is given in the last column. |
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