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
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.