|
|
Cross-Level Interaction in DSEM (inte... |
|
Message/Author |
|
L.Greiner posted on Sunday, June 28, 2020 - 12:41 pm
|
|
|
I calculate the following model (s.below) and have the following questions on how to define a cross-level interaction and how to interpret the results. a) Is this the correct way to specify a cross-level interaction for the time-consistent/between-cluster variable M on the within-level relationship of the time-variable x and y? b) assuming that the random intercept xx has a negative sign (e.g. -0.10) and the effect of M on xx is positive (e.g. 0.50) - does this mean that with each increase in the unit M the xx relationship increases by 0.50 (resulting in a positive xx relationship for above-average values in M?) c) Is there a way to visualize the cross-level interaction in Mplus? Here's the model: DEFINE: Center M (grandmean); !grandmean variable M ANALYSIS: TYPE = TWOLEVEL RANDOM; ESTIMATOR = BAYES; PROC = 2; ! BITER = (1000); THIN = 10; ! MODEL: %WITHIN% xx | x ON x&1; yy | y on y&1; xy | x on y&1; %BETWEEN% xx WITH yy xy x y; yy WITH xy x y; xy WITH x y; xy ON M; !cross-level interaction OUTPUT: TECH 1 TECH8 STDYX; PLOT: TYPE = PLOT3; FACTORS = ALL; |
|
|
When you say x on y, note that this is saying that you regress x on y, that is, y influences x. It does not mean that x has an influence on y. With this caveat, a) is ok. You say xy on M in the input but you imply xx on M in the text. With this caveat, b) is correct. Regarding c), see cross-level plotting at http://www.statmodel.com/Mediation.shtml |
|
L. Greiner posted on Sunday, June 28, 2020 - 11:00 pm
|
|
|
Thanks for your quick help, this was really helpful. And yes you were right assuming that I was talking about xy and not xx - sorry for the confusion. |
|
Back to top |
|
|