1101X2 must appear in your data set on record 1 field 2. Data must be numeric in Mplus. So this would be an invalid data entry. Note that the input file length should not exceed 80 columns. These are support questions. If you have further problems of this kind, please send your input, data, output, and license number to firstname.lastname@example.org.
Hi, I am trying to run analyses using a SAS dataset I imported to MPLUS. I am indicating a file path to this valid dataset, but every time I try to run MPLUS I receive an error message telling me that my dataset contains 0 observations. I have tried re-exporting the SAS dataset into MPLUS, but I still get the same error message. I can use this exact same dataset in other sets of analyses (i.e. I receive no error message using the same data statement in logistic regression programs), but for some reason this regression will not run. Is this a support question? Thanks for your time, Michelle
I can speculate that perhaps after listwise deletion on the set of analysis variables, there are no observations left. If that is not the case, please send your input, data, output, and license number to email@example.com.
When I use Mplus to estimate a mediation model using TYPE = complex, I get the following error message:
THE MODEL ESTIMATION TERMINATED NORMALLY
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NON-POSITIVE DEFINITE FIRST-ORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE CONDITION NUMBER IS -0.358D-16. PROBLEM INVOLVING PARAMETER 1.
It is not only parameter 1 that is the problem, but also others. I have slightly negative covariances between some variables, I think that is the problem. However, I am not sure how to handle this problem. Would it be okay to fix them at 0?
Hi, I am designing a two-level mediation model and found this *message from the result.
"*The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used for chi-square difference testing in the regular way. MLM, MLR and WLSM chi-square difference testing is described on the Mplus website. MLMV, WLSMV,and ULSMV difference testing is done using the DIFFTEST option."
1. When does this message appear? Does it imply my current data do not fit the assumed model well?
2. Does it imply that i cannot trust model fit indexes such as chi-square value, RMSEA or CFI? or is it simply saying I cannot do chi-square difference testing?
ial with sal; iad with sad; ial with iad; sal with sad; sal with iad; sad with ial; polsum on ial sal iad sad uopols; [uopols];
all_1 with adh_1; all_2 with adh_2; all_3 with adh_3; all_4 with adh_4; all_5 with adh_5;
ANALYSIS: TYPE = COMPLEX; miterations = 2000; integration=montecarlo;
I get a warning concerning a non-zero derivative of the observed-data loglikelihood. I should check my starting values or increase miterations. Specifying starting values based on previous runs did not help.
Modelling the 2 growth processes independently as predictor for the count variable goes fine. Also, the parallel growth models run fine with dichotomous and continous outcomes.
Hello. We’re currently attempting to estimate a two level longitudinal model (data are clustered within person), and are modeling our syntax off of the example provided in Example 9.12 in the Mplus 7.0 manual. However, we are getting error messages indicating that the model estimation did not terminate normally due to an ill-conditioned fisher information matrix and due to a non-positive definite fisher information matrix. It also states that the matrix could not be inverted during the H1 model estimation. Do you have suggestions for correcting these errors? We have successfully estimated the same models using the syntax provided in Example 9.16, but would like to add a quadratic term to the model and were thinking that Example 9.12 was better suited for this next step. Thank you.