Friday, November 20, 2020
Abstract: This talk gives an overview of some recent and ongoing latent variable research. Borrowing ideas from multilevel factor analysis, longitudinal SEM in a single-level, wide format is formulated in a new way that finds a well-fitting model 45 years after the writing of the classic Wheaton, Muthen, Alwin, and Summers article. This segues into a generalization of latent transition analysis using the multilevel notion of a random intercept while staying in a single-level, wide format. Turning back to multilevel modeling, the talk considers time series analysis of intensive longitudinal data. This is illustrated by intervention data on electricity consumption and a randomized intervention related to positive and negative affect where cycles play a major role. Finally, the new feature in Mplus Version 8.5 of Bayesian analysis of count, nominal, and binary logit models is presented.
This session is jointly sponsored by the Statistics department and the Research Methods, Measurement, and Evaluation program, University of Connecticut (UCONN), New England Statistical Society (NESS) and Statistical and Applied Mathematical Institute (SAMSI) as part of online interdisciplinary seminar series on statistical methodology for social and behavior research.
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