I've tried the syntax below provided in the Mplus guide, and it works well. The output/findings are quite similar to SPSS, which makes sense. As you can see, I've removed the "between" part of the model to focus on the within-person effects. DATA: FILE = Datab2.dat; VARIABLE:...
(2000). Integrating person-centered and variable-centered analysis: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24, 882-891. (#85) Muthén, B. & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm....
A factor analysis person would standardized with respect to the factor and the factor indicator. John Nelson posted on Monday, April 01, 2013 - 2:35 pm I ran a 2-factor CFA. Factor 1 (F1) had 4 items, and factor 2 (F2) had 5 items. Both factors were latent continuous. The ...
Piecewise LGM v1@1v2@1v3@1v4@1v5@1; At this point I have tried many models and have large standardized residuals with each model, except one that may not be identified. The best-fitting model is a 3-piece piecewise:
However, if I just leave my indicators in the within option part without being group-mean centred (otherwise I get an error as they are indicators of a within latent variable) would this between person variability would be controlled for? I am not sure how else would I be able to control...
I have a very similar problem to the person above. I also want to run a twolevel mediation model. I however have x1, x2, x3 and they are all mediated by the same m to two dependent variables y1 and y2. So my model is: WITHIN m on x1 x2 x3 y1 on m x1 x2 x3 y2 on m...
a) if it were significant this would probably mean that a person with a high intercept also has a high upturn towards the end. b) when the initial decline is steeper, the ending upturn is higher. anonymous posted on Tuesday, February 17, 2009 - 3:20 pm Hello, I conducted a conditi...
all Level-1 variables are subjected to implicit, model-based group mean centering by default unless constraints are applied to the model." I'm wondering how to interpret the within person effects for a binary X -> M or X -> Y given the model-based person mean centering Preacher describes...
I should clarify, I want to model the within-person effects, as this is a model of two mediators in a series all at level 1. However, I want to account for the person-level means at level 2, to partition the variance at the within and between person level. So I would retain the ...
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