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Ihnwhi Heo; Fan Jia; Sarah Depaoli – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The Bayesian piecewise growth model (PGM) is a useful class of models for analyzing nonlinear change processes that consist of distinct growth phases. In applications of Bayesian PGMs, it is important to accurately capture growth trajectories and carefully consider knot placements. The presence of missing data is another challenge researchers…
Descriptors: Bayesian Statistics, Goodness of Fit, Data Analysis, Models

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