Bayesian Structural Equation Modeling

Sarah Depaoli

Hardcovere-bookprint + e-book
Hardcover
August 16, 2021
ISBN 9781462547746
Price: $75.00
521 Pages
Size: 7" x 10"
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e-book
July 1, 2021
PDF ?
Price: $75.00
521 Pages
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print + e-book
Hardcover + e-Book (PDF) ?
Price: $150.00 $82.50
521 Pages
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Read the Series Editor's Note by Todd D. Little
Sarah Depaoli, PhD, is Associate Professor of Quantitative Methods, Measurement, and Statistics in the Department of Psychological Sciences at the University of California, Merced, where she teaches undergraduate statistics and a variety of graduate courses in quantitative methods. Her research interests include examining different facets of Bayesian estimation for latent variable, growth, and finite mixture models. She has a continued interest in the influence of prior distributions and robustness of results under different prior specifications, as well as issues tied to latent class separation. Her recent research has focused on using Bayesian semi- and non-parametric methods for obtaining proper class enumeration and assignment, examining parameterization issues within Bayesian SEM, and studying the impact of priors on longitudinal models.