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| Interpreting effects in Bayes ML path... |
 
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Hello Drs Muthen!
Could you please help me in interpreting one issue related to my results of multilevel path analysis using BAYES estimator?
I examined two models: random intercept, random slope models.
X,Z and K are level-1 predictors
A, B, C and D are level-2 predictors.
Y is the outcome.
------Random intercept model----
%WITHIN%
Y ON X;
Y ON Z;
Y ON K;
Z ON K;
%BETWEEN%
Y ON A B C D;
A WITH B C D;
B WITH C D;
C WITH D;
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In the above model, K was found to be a significant negative predictor of Z (slope of K = -.149, credibility interval [-.237,-.062]).
However, when we allowed for the slopes to vary across groups as in the below model, slope of K was not significant (slope of K = -.124, credibility interval [-.256,.010] while the variation of the slope across groups was significant ( variance of slope =.059, credibility interval [.014,.158]) .
------Random slope model----
%WITHIN%
s1 | Y ON X;
s2 | Y ON Z;
s3 | Y ON K;
s4 | Z ON k;
%BETWEEN%
Y ON A B C D;
A WITH B C D;
B WITH C D;
C WITH D;
s1 s2 s4 s3;
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So, how one can interpret the effect of K on Z in each model?
Thanks! |
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| If your slope variance is substantial, I think you need to go with that model version, that is, the slope mean is not significant. |
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| Many thanks for your answer! |
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