ABSTRACT

This book 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 and contrast a wi

chapter 1|20 pages

The omni-presence of latent variables

chapter 2|28 pages

Modeling different response processes

chapter 3|46 pages

Classical latent variable models

chapter 4|40 pages

General model framework

chapter 5|24 pages

Identification and equivalence

chapter 6|62 pages

Estimation

chapter 7|62 pages

Assigning values to latent variables

chapter |2 pages

II Applications

chapter 9|36 pages

Dichotomous responses

chapter 10|28 pages

Ordinal responses

chapter 11|24 pages

Counts

chapter 12|20 pages

Durations and survival

chapter 14|28 pages

Multiple processes and mixed responses