

Standard errors of zero using R3STEP 

Message/Author 


Hi, I’m doing LCA with R3STEP using SUBPOPULATION with some missing data and finding that many standard errors are 0 in the latent class regression. The regression drops a total of 58 observations and uses 651. This problem occurs when using 8 covariates (2 binary, 2 categorical, 4 standardized continuous) and 6 categorical latent class indicators. All of the categorical covariates have standard errors of 0 in each of the 3 multinomial regressions no matter which class is used as the reference class. For the continuous covariates, this happens only sometimes. For example, when using class 4 as the reference class I get: C#1 ON … DEPMST1 0.287 0.000 999.000 0.000 LONMST1 0.339 0.181 1.872 0.061 C#2 ON … DEPMST1 0.460 0.137 3.361 0.001 LONMST1 0.416 0.000 999.000 0.000 When I attempt to add an additional 3 continuous covariates, an additional 6 observations are dropped and even more SEs become 0. E.g., when using class 4 as the reference class, the SEs for the coefficients for the regressions of both DEPMST1 and LONMST1 are now 0 in the C#1 regression, but the SE is still calculated for DEPMST1 in the regression of C#2. Thank you for any insight/help you might have. Michelle Carras 


It looks like that parameters are being fixed not that the standard errors are zero. For further information, send the output and your license number to support@statmodel.com. 

Back to top 

