Latent Variable Models (5th Ed.) An Introduction to Factor, Path, and Structural Equation Analysis, Fifth Edition
Auteurs : Loehlin John C., Beaujean Alexander
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models. This approach helps less mathematically-inclined readers to grasp the underlying relations among path analysis, factor analysis, and structural equation modeling, and to set up and carry out such analyses. This revised and expanded fifth edition again contains key chapters on path analysis, structural equation models, and exploratory factor analysis. In addition, it contains new material on composite reliability, models with categorical data, the minimum average partial procedure, bi-factor models, and communicating about latent variable models.
The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds. Notes at the end of each chapter expand the discussion and provide additional technical detail and references. Moreover, most chapters contain an extended example in which the authors work through one of the chapter?s examples in detail to aid readers in conducting similar analyses with their own data. The book and accompanying website provide all of the data for the book?s examples as well as syntax from latent variable programs so readers can replicate the analyses. The book can be used with any of a variety of computer programs, but special attention is paid to LISREL and R.
An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences, education, business, and health sciences, Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables.
John C. Loehlin is Professor Emeritus of Psychology and Computer Science at the
University of Texas at Austin. He received his PhD in Psychology from the University
of California (Berkeley).
A. Alexander Beaujean is an Associate Professor of Educational Psychology at
Baylor University. He received PhDs in Educational Psychology and School
Psychology from the University of Missouri.
Date de parution : 01-2017
15.6x23.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 184,47 €
Ajouter au panierDate de parution : 12-2016
15.6x23.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 74,82 €
Ajouter au panierThèmes de Latent Variable Models :
Mots-clés :
Latent Variable Model; path; Path Diagram; diagram; Latent Variables; structural; Model Fitting Programs; equation; Correlation Matrix; analysis; Latent Curve Models; correlation; Noncentrality Parameter; matrix; Exploratory Factor Analysis; fitting; Measurement Model; programs; Vice Versa; measurement; Path Model; Observed Variables; LISREL Matrice; Downstream Variables; Factor Pattern Matrix; Confirmatory Factor Analysis; Population RMSEA; Schmid Leiman Transformation; Fit Indices; Residual Variances; Structural Equation Analysis; Minimum Average Partial Procedure; Kaiser Guttman Rule; MZ Twin; Promax Solution