期刊
JOURNAL OF MODERN APPLIED STATISTICAL METHODS
卷 9, 期 1, 页码 314-331出版社
WAYNE STATE UNIV PRESS
DOI: 10.22237/jmasm/1272688260
关键词
Pi-star; two-class LCA models; SAS
The two-point mixture index of fit enjoys some desirable features in model fit assessment and model selection, however, a need exists for efficient computational strategies. Applying an NLP algorithm, a program using the SAS matrix language is presented to estimate the two-point index of fit for two-class LCA models with dichotomous response variables. The program offers a tool to compute pi* for two-class models and it also provides an alternative program for conducting latent class analysis with SAS. This study builds a foundation for further research on computational approaches for M-class models.
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