Beschreibung:
Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain a wide range of estimation and prediction methods. Exciting, realistic applications demonstrate how latent variable modeling can be used to solve problems in areas as diverse as medicine, economics, and psychology. Numerous displays, figures, and graphs make the text vivid and easy to read.
METHODOLOGY: The Omni-Presence of Latent Variables. Modeling Different Response Processes. Classical Latent Variable Models. General Model Framework. Identification and Equivalence. Estimation. Assigning Values to Latent Variables. Model Specification and Inference. APPLICATIONS: Dichotomous Responses. Ordinal Responses. Counts. Durations and Survival. Comparative Responses. Multiple Processes and Mixed Responses.