Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis

Loehlin, John C.

ISBN 10: 0805828303 / ISBN 13: 9780805828306

Published by Psychology Press, 1998

About this Item

No text marks. Nice corners. Owner stamp on first page and thin remainder mark on top end. Otherwise about new.

Seller Inventory # 24050141

Bibliographic Details

• Title: Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis
• Publisher: Psychology Press
• Publication Date: 1998
• Language: English
• ISBN 10: 0805828303
• ISBN 13: 9780805828306
• Binding: Hardcover
• Edition: 3rd Edition
• Condition: Very Good

About this title

Synopsis

This book is intended as an introduction to multiple-latent-variable models. Confirmatory factor analysis, path analysis, and structural equation modeling have come out of specialized niches of exploratory factor analysis and are making their bid to become basic research tools for social scientists, including sociologists; political scientists; social, educational, clinical, industrial, personality, and developmental psychologists; and marketing researchers.

The author utilizes path diagrams to explain the underlying relationships in multiple-latent-variable models. He also provides an appendix on elementary matrix algebra.

The book is not closely tied to a particular computer program or package; however, special attention is paid to two leaders in the field (LISREL and EQS). Users should have access to a latent-variable model-fitting program on the order of LISREL, EQS, CALIS, AMOS, Mx, RAMONA, or SEPATH, and an exploratory factor analysis package such as those in SPSS or SAS. In some places, a matrix manipulation facility such as that found in MINITAB, SAS, or SPSS would be useful.

Synopsis

This book is intended as an introduction to a growing area in social science methodology - the use of multiple-latent-variable models. Psychologists and other social scientists have long been familiar with one subvariety of such modelling - exploratory factor analysis. In recent decades, confirmatory factor analysis, path analysis, and structural equation modelling have come out of specialized niches and are making their bid to become basic tools in the research repertoire of social scientists, particularly those whose data involve complex real-life phenomena in the round. These include, among others, sociologists; political scientists; social, educational, clinical, industrial, personality and developmental psychologists; and marketing researchers. The author utilizes path diagrams to explain the underlying relationships in multiple-latent-variable models. He also provides an appendix on elementary matrix algebra for those who do not have an extensive mathematical background. The book is not closely tied to a particular computer program or package; however, special attention is paid to two leaders in the field (LISREL and EQS).

Users should have access to a latent-variable model-fitting program on the order of LISREL, EQS, CALIS, AMOS, Mx, RAMONA, or SEPATH, and an exploratory factor analysis package such as those in SPSS or SAS. In some places, a matrix manipulation facility such as that found in MINITAB, SAS or SPSS would be useful.