An Introduction to Latent Class Analysis

Methods and Applications
€ 109.99
Lieferbar in 24 Tagen
Kurzbeschreibung des Verlags:

This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models. The maximum likelihood estimation procedures for latent class models are constructed via the expectation–maximization (EM) algorithm, and along with it, latent profile and latent trait models are also treated. Entropy-based discussions for latent class models are given as advanced approaches, for example, comparison of latent classes in a latent class cluster model, assessing latent class models, path analysis, and so on. In observing human behaviors and responses to various stimuli and test items, it is valid to assume they are dominated by certain factors. This book plays a significant role in introducing latent structure analysis to not only young researchers and students studying behavioral sciences, but also to those investigating other fields of scientific research. 

Mehr Informationen
ReiheBehaviormetrics: Quantitative Approaches to Human Behavior
ISBN 9789811909719
Sprache Englisch
Ausgabe 1st ed. 2022
Erscheinungsdatum 10.04.2022
Umfang 190 Seiten
Genre Wirtschaft/Allgemeines, Lexika
Format Hardcover
Verlag Springer Singapore