Message/Author 

daniel posted on Monday, February 24, 2003  4:21 pm



In Output we always have correalation matrix for factors if TECH4 is used no matter what structure we assume among the factors. So for some pairs of factors there are two kinds of parameters: path coefficent and correlation coefficient. What relationship is there between these two coefficients? How to intepret them simutaneously? 


TECH4 is the model implied correlation/covariance matrix. The model estimates are printed in the Model Results section of the output. For the following model: MODEL: f1 BY y1y5; f2 BY y6y10; f2 ON f1; the STDYX estimate will be the same as the correlation between f1 and f2 in TECH4. For model complex models, the relationships are more complicated. 


Hi, In my outputfile I receive estimates of the paths in my hypothesized model (using MLR method).Is it somehow possible to get correlations between those resulted estimates? I want to be able to say that estimate of 'Y ON x1' is significantly higher/different from estimate 'Y ON x2' Or do you now another way to be able to say that, thank you very much, kind regards, Liesbeth Mercken 


You can use the MODEL TEST command. See the user's guide for details. Or you can test two nested models  one where the two regression coefficients are not held equal against a model where they are held equal. 


I get different results when using MODEL TEST and testing nested models. Is there a preference for one test over the other? 


These should not differ much. If you want me to look at it, please send the two outputs and your license number to support@statmodel.com. Please use Version 5.2. 

ZHANG Liang posted on Tuesday, January 08, 2013  12:18 pm



Hi. Today I conducted a series of simple analyses in Mplus, and encountered some questions. There are two continuous variables, namely A and B. I standardized them and calculated their correlation coefficient in SPSS, the result is 0.607. Then in MPLUS, I estimated the paths A ON B, and B ON A£¬respectively, and not surprisingly, they were all 0.607. Then I ran A WITH B, I thought the result would also be 0.607, but A WITH B was estimated as 0.611. Does the WITH command follow a different formula from common correlation analysis? Besides, I found that in the A WITH B result, both A and B's residual are estimated. I got confused here, can you offer some explanation on it? 


Please send the output with standardized results and your license number to support@statmodel.com. 

Back to top 