John C. Loehlin, A. Alexander Beaujean

Latent Variable Models (eBook, ePUB)

An Introduction to Factor, Path, and Structural Equation Analysis, Fifth Edition

• Format: ePub

Produktbeschreibung

This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 390
• Erscheinungstermin: 7. Dezember 2016
• Englisch
• ISBN-13: 9781317285274
• Artikelnr.: 48114334

Autorenporträt

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.

Inhaltsangabe

Contents: Preface. Path Models in Factor, Path, and Structural Equation
Analysis. Fitting Path Models. Fitting Path and Structural Models to
Data From a Single Group on a Single Occasion. Fitting Models Involving
Repeated Measures or Multiple Groups. Exploratory Factor Analysis--Basics.
Exploratory Factor Analysis--Elaborations. Issues in the Application of
Latent Variable Analysis. Appendices.

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Contents: Preface. Path Models in Factor, Path, and Structural Equation Analysis. Fitting Path Models. Fitting Path and Structural Models to Data From a Single Group on a Single Occasion. Fitting Models Involving Repeated Measures or Multiple Groups. Exploratory Factor Analysis--Basics. Exploratory Factor Analysis--Elaborations. Issues in the Application of Latent Variable Analysis. Appendices.