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Bayesian estimation and standardized ... |
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I am using Bayesian estimation, for the following model: define: DCxCT= ComDis * ComTm; center ComTm ComDis (grandmean); analysis: ESTIMATOR IS BAYES; FBITERATIONS IS 5000; THIN is 50; STVALUES IS ML; model: BE1 by B11 B12 B15 B16 B17; EE1 by E11 E12 E13 E14 E15 E16; EE15 with EE16; BE1 ON Dur AGTm AGSm ComTm ComSm AgDis AgEnt AgTCT ComDis ComEnt ComTCT DCxCT; EE1 ON Dur AGTm AGSm ComTm ComSm AgDis AgEnt AgTCT ComDis ComEnt ComTCT DCxCT; I have two questions concerning the results: - is it true that standardised results are not available with Bayesian estiamtion? If so, is there an alternative method to compare the influence of different predictors? - my model fit seems rather good (posterior predictve p-value of .37; CI with zero almost in the middel); however none of the individual regression parameters are significant. How should I interpret this seemingly contradictory result? Or have I misspecified some part of the input? |
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MPlus 7.4 gives standardized results with Bayes. You can get a good fit if you have categorical outcomes, or a small sample, or low correlations. |
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