Hi, I am trying to run a 2-level mediation model - I copied it directly from syntax provided by Preacher (http://www.quantpsy.org/pubs/syntax_appendix_081311.pdf), using the 1-1-1 model with random slopes, and am running into some problems: When I first tried to run the model, I got a fatal error message: "THIS MODEL CAN BE DONE ONLY WITH MONTECARLO INTEGRATION." I then inserted ALGORITHM = INTEGRATION and INTEGRATION=MONTECARLO into the analysis section, but again I got a series of error messages (for both my x and my mediator): " *** ERROR in MODEL command Observed variable on the right-hand side of a between-level ON statement must be a BETWEEN variable. Problem with: T1GMOT1"
Any suggestions for how I can fix this? Thank you for your help!
Hi, I am having a similar problem to the one described above when running the 1-1-1 MSEM with random slopes model provided by Preacher et al (2010). I have narrowed the problem down to the lines of syntax at the beginning of the %between% section, where estimates for the variances and covariances are requested. If I add the independent (x) variable to any of these statements, I get the fatal error message: "THIS MODEL CAN BE DONE ONLY WITH MONTECARLO INTEGRATION." If I remove the x variable the model runs normally (although I do get a warning that estimation has reached a saddle point).
I would greatly appreciate any guidance on how to deal with this. Thank you very much.
If I run it with Monte Carlo integration I get the following error message:
*** ERROR in MODEL command Unrestricted x-variables for analysis with TYPE=TWOLEVEL and ALGORITHM=INTEGRATION must be specified as either a WITHIN or BETWEEN variable. The following variable cannot exist on both levels: X
X is a within-level variable. However, if I specify it as such, then I cannot use it on the between level as is needed to carry out the Preacher et al syntax.
I am having a similar issue as posted on June 27. If I create the cluster-level variable using cluster_mean option, do I include the newly created variable in place of the original variable in my analysis? Or do I retain the original?
*** ERROR in MODEL command Between-level variables cannot be used in random slope definitions on the within level. Between-level variable used: CLUSMEAN
I'm fitting a 1-1-1 multilevel mediation model with a binary outcome (y=transition to higher education), continuous mediator (m=standardised test scores), and three dummy variables for parental educational levels (x1, x2, x3). As all variables were measured at the individual level, thereby I've specified the x's variables in the WITHIN part. The cluster of schools is associated with the mediator only. For this model (random intercepts) I don't have BETWEEN variables, at the school level.
I'm getting the following warning message for the y and m
A y-variable has been declared on the within level but not referred to on the between level. Please check that this is what is intended. If this is not intended, specify the variable as a within variable. Problem with: y & m
Do I need to specify the outcome (y) in the WITHIN part or it is correct as it is?
CATEGORICAL = y; WITHIN = x1 x2 x3; CLUSTER = sch; ANALYSIS: ESTIMATOR = MLR; LINK = PROBIT; MCONV = 0.00001; INTEGRATION = MONTECARLO(250); ALGORITHM = EM; CHOLESKY = OFF; TYPE = TWOLEVEL; MODEL: %WITHIN% m ON x1 x2 x3; y ON m x1 x2 x3;
Thank you. By adding the between-level variances for y and m, I'm not getting that warning message anymore.
In the case of a random slope model, for the same variables, I'm getting this error message
THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A CHANGE IN THE LOGLIKELIHOOD DURING THE LAST E STEP.
AN INSUFFICENT NUMBER OF E STEP ITERATIONS MAY HAVE BEEN USED. INCREASE THE NUMBER OF MITERATIONS OR INCREASE THE CONVERGENCE VALUE. ESTIMATES CANNOT BE TRUSTED. SLOW CONVERGENCE DUE TO PARAMETER 11. THE LOGLIKELIHOOD DERIVATIVE FOR THIS PARAMETER IS -0.24415009D+02.
Parameter 11 is the slope 'sa2' (sa2 | m ON x2;) in the matrix PSI.
Considering that the problem in the estimation could be related to this other warning message
*** WARNING One or more individual-level variables have no variation within a cluster for the following clusters. Variable Cluster IDs with no within-cluster variation
The number of clusters with no within-cluster variation are (as shown in the output) 370 for y 78 for m 587 for x1 2,120 for x2 2,932 for x3 All of them from a total of 5,653 schools and 121,088 students.
Do you think random slopes could not be feasible in this model?