Hee-Jin Jun posted on Wednesday, September 21, 2011 - 1:41 pm
I am running two-level growth model for a categorical outcome. My predictors are time-varying. Below is my codes and I got an error message saying “SINGULAR INFORMATION MATRIX PROBLEM OCCURRED IN THE UNIVARIATE ESTIMATION OF VARIABLE AMTBNG97.” This error message was for all outcome variables up to AMTBNG05. In fact, I don’t know how to fix these errors. Would you please help how to fix these errors?
Thanks a lot.
due to large size, I will add the program to the next post
Hee-Jin Jun posted on Wednesday, September 21, 2011 - 1:45 pm
CATEGORICAL = amtbng97 amtbng98 amtbng99 amtbng00 amtbng01 amtbng03 amtbng05; WITHIN = msthet97 msthet98 msthet99 msthet00 msthet01 msthet03 msthet05 bilgay97 bilgay98 bilgay99 bilgay00 bilgay01 bilgay03 bilgay05 sother97 sother98 sother99 sother00 sother01 sother03 sother05 gender; BETWEEN = CLIM4; CLUSTER = stnum; CENTERING = GRANDMEAN (clim4); ANALYSIS: TYPE = TWOLEVEL; INTEGRATION = 7; PROCESS = 4; ESTIMATOR = WLSM; MODEL: %WITHIN% iw sw | amtbng97@0amtbng98@1amtbng99@2amtbng00@3amtbng01@4amtbng03@6amtbng05@8; iw sw ON gender; amtbng97 ON msthet97 bilgay97 sother97 ; amtbng98 ON msthet98 bilgay98 sother98 ; amtbng99 ON msthet99 bilgay99 sother99 ; amtbng00 ON msthet00 bilgay00 sother00 ; amtbng01 ON msthet01 bilgay01 sother01 ; amtbng03 ON msthet03 bilgay03 sother03 ; amtbng05 ON msthet05 bilgay05 sother05 ; %BETWEEN% ib sb | amtbng97@0amtbng98@1amtbng99@2amtbng00@3amtbng01@4amtbng03@6amtbng05@8; ib sb ON CLIM4;
Please send the full output and your license number to firstname.lastname@example.org. In the future, please limit your posts to one window.
Katerina Gk posted on Thursday, October 10, 2013 - 11:04 am
I have already standardized my observed values and I have a twolevel model and I, also, aggregate the observed variables on the between level,using the command cluster_mean as you reccomend me in a previous message.
I get the same error SINGULAR INFORMATION MATRIX PROBLEM OCCURRED IN THE UNIVARIATE ESTIMATION OF VARIABLE ...
SINGULAR INFORMATION MATRIX PROBLEM OCCURRED IN THE BIVARIATE ESTIMATION OF VARIABLES ...
Can you recommend me something to fix this error???
When I run the same model without standarized my values then it takes too long to converged anf give the fatal error, that there is not enough memory.
I am not sure why you have standardized your variables. This is only correct if you have a scale free model. Please send the output before you standardized the variables and your license number to email@example.com.
Katerina Gk posted on Saturday, October 12, 2013 - 9:41 am
thank you for your message, I ckecked again my data I decided not to standardized the variables. At last I refix my models and the models run.
I originally started with MLR estimator, but switched to WLSM because I couldn't obtain the GOF indicators. I have run into the same SINGULAR INFORMATION MATRIX PROBLEM problem with all my endogenous variables. I have pasted below my input. By the way, I will prefer to use the MLR estimator: do you know of any similar study that used the MLR estimator, and therefore did not report the GOF indicators.
TITLE: Technology, Behavior and Energy Consumption (Model 1) Data: FILE IS C:\Users\u6013054\Desktop\TechBehEnergy\MplusData.2.csv; VARIABLE: NAMES ARE ClusterV wt y1-y7 y6i y7i y8 x1-x10; USEVARIABLES are y1-y7 y8 x1-x3 x6-x9 x4i x5i ; MISSING ARE .; CATEGORICAL = y5; WITHIN = y1-y8 x1-x3 x4i x5i x6-x9; BETWEEN = ; CLUSTER = ClusterV; DEFINE: x4i=LOG(x4+1); x5i=LOG(x5+1); ANALYSIS: TYPE = TWOLEVEL; ESTIMATOR = WLSMV; !INTEGRATION = MONTECARLO; MODEL: %WITHIN% y1 on x1-x3 x6-x9; y2 on y1 x1-x3 x6-x9; y3 on y1 y2 x1-x3 x4i x5i x6-x9; y4 on y1 y2 y3 x1-x3 x4i x5i x6-x8; y5 on y1 y2 y3 y4 x1-x3 x4i x5i x6-x9; y6 on y1 y2 y3 y4 y5 x1-x3 x4i x5i x6-x9; y7 on y1 y2 y3 y4 y5 y6 x1-x3 x4i x6-x9; y8 on y1 y2 y3 y4 y5 y6 y7 x1-x3 x4i x5i x6-x9; %BETWEEN%