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- ISBN: 9781119978299 | 1119978297
- Cover: Hardcover
- Copyright: 10/1/2012
This book is written at both introductory and advanced levels. Both basic concepts and examples of Class Factor Analysis (CFA) and SEM models are explored along with some recently developed advanced methods in SEM, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The author introduces latent class analysis (LCA), latent transitions analysis (LTA), latent growth mixture model (LGMM), and latent class factor analysis (LCFA). In addition, Satorra-Saris's method, Monte Carlo simulation, and MacCallum-Browne-Sugawara's method for power analysis and sample size estimate for SEM are also introduced and the results of the different methods are compared. Mplus has recently gained popularity with the SEM user community and although there are a number of SEM books in-print and in-development there are currently no titles that present SEM with Mplus.