Message/Author 

WAM posted on Wednesday, November 23, 2011  6:47 am



Hello, I tested a reciprocal relationship between two variables (measured at 3 occasions). One of the reviewers insists that the crosslag model must be tested using M+ by taking the multilevel structure of the data (occasions nested within students, which are nested within classrooms) in to account. Is there such a possibility? Thanks, Wond 


Yes, see Example 9.12. 


Hi, I have a question similar to the one asked by the previous poster. I want to test an autoregressive latent trajectory model incorporating 2 variables measured on 3 occasions. However, the data has a nested structure (students within classrooms). The higherorder units aren't of substantial research interest. I know that multilevel latent growth models and multilevel crosslagged models can be tested in Mplus, but I haven't seen anything, either in the Mplus documentation or elsewhere, regarding multilevel ALT models. Can this model be specified in Mplus? If so, would TYPE=TWOLEVEL or TYPE=COMPLEX option be more appropriate? Thanks for any help that you can provide! 


Mplus can estimate multilevel ALT models. I don't have an example. You might want to ask if someone on SEMNET has one. I think TYPE=TWOLEVEL would be the best choice. 


Hello, I am testing a reciprocal and timelagged relationship between two variables (both variables are timevarying measured at 3 occasions). The data has a multilevel structure such that occasions for both variables are nested in person and person nested in teams. You mentioned to see Example 9.12 but I don't know how to apply that example to my model. It has only one timevarying variables. The following is how I enterd the model. VARIABLE: NAMES ARE v001v246; USEVARIABLES ARE v001 v220 v221 v222 v244 v245 v246 ; Missing are all (999); Cluster is v001; ANALYSIS: TYPE IS Twolevel Random; ALGORITHM=INTEGRATION; MODEL: %WITHIN% iw1 sw1  v220@0 v221@1 v222@2; iw2 sw2  v244@0 v245@1 v246@2; iw2 sw2 on iw1; iw1 sw1 on iw2; iw1 with sw1; iw2 with sw2; iw1 with sw2; iw2 with sw1; %BETWEEN% ib2 sb2  v244@0 v245@1 v246@2; v244v246@0; OUTPUT: TECH1 TECH8 CINTERVAL ; Would you please tell me if it is appropriate? 


This looks ok assuming the 2 sets of outcomes are lagged in time. I don't understand why your Between level specification is for only 1 of the 2 processes. 

ZHANG Liang posted on Monday, August 10, 2015  8:12 pm



Hello, If I'm doing a 2 time กม 2 variable (A and B) crosslagged analysis, and trying to examine the effect of a BETWEEN level moderator (M) on one of the crosslagged paths (A1 to B2), is it correct to write the syntax like below? ... VARIABLE: usevar = a1 a2 b1 b2 m; within = a1 b1; between = m; cluster = cls; MODEL: %WITHIN% s  b2 on a1; b2 on b1; a2 on a1 b1; %BETWEEN% s b2 on m; ...  And, is it recommended that to write the last line as "s on m;" instead of "s b2 on m;", when I'm not interested in how the level 2 variable M predict B2? Thank you in advance! 


Q1. Yes. Q2. That's fine. Just make sure you estimate the variance of b2 on between (and perhaps covariance with s). 

Ai Ye posted on Wednesday, August 12, 2015  1:00 pm



Hello, I tested a bidirectional relationship between two mathematical learning measures (measured at five time points) using a crosslagged panel model. Correlation analysis reveal a positive relationships between the two measures across time. I used the following codes: MODEL: dcas5f with con5f ; dcas4f with con4f ; dcas3f with con3f ; dcas2f with con2f ; dcas1f with con1f ; dcas5f on dcas4f con4f ; dcas4f on dcas3f con3f ; dcas3f on dcas2f con2f ; dcas2f on dcas1f con1f ; con5f on con4f dcas4f ; con4f on con3f dcas3f ; con3f on con2f dcas2f ; con2f on con1f dcas1f ; However, there is one coefficient (con3f predicting dcas4f) that is (unexpectedly) negatively significant. I would like to ask under what circumstance two positively correlated measures could be negatively related in a crosslagged model and how should I interpret it (as I know that conceptually a higher score in one math measure leads to a higher score in the other math measure)? Thank you very much! 


You may want to direct this general modeling question to SEMNET. 


Hello, I have a diary study with 2 measurement occasions per day over 5 days. I would like to test crosslagged effects WITHIN days (thus the effect of Variable A at time 1 on Variable B at time 2 controlling for B at time 1). I would like to model this simultaneously at the within and betweenperson level. Since I have only 2 measurement occasions per day, I test it with type is twolevel rather than with a latent growth model. ANALYSIS: TYPE IS TWOLEVEL; MODEL: %WITHIN% Bt2 ON At1; Bt2 ON Bt1; At1 WITH Bt1; %BETWEEN% Bt2 ON At1; Bt2 ON Bt1; At1 WITH Bt1; My question is whether it makes sense to control for Bt1 at the betweenperson level. I am in doubt because the sign of the effect of At1 on Bt2 changes when I control for Bt1 and this seems to be due to a suppressor effect. Many thanks in advance! 


I suggest that you try SEMNET for this question. 

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