SAS Graphics Macros for Latent Class Analysis (Version 1.0) [Software]. (2010). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu
Dziak, J. J., & Lanza, S. T. (2010). SAS graphics macros for latent class analysis users’ guide (Version 1.0). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu
Identification plot to judge how well-identified a latent class model is. This macro plots the distribution of fitted log-likelihoods resulting from multiple starting values.
The plot above (click graphic to view larger) illustrates a rather well-identified model; most of the starting values agree and give the best solution available, although some give suboptimal solutions.