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

Loehlin, John C.

 
9780805828313: Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis
Couverture souple
ISBN 10 : 0805828311 ISBN 13 : 9780805828313
Editeur : Lawrence Erlbaum Associates Inc, 1998

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Présentation de l'éditeur

This book provides an introduction to a rapidly-growing area in the social and behavioral sciences -- the modeling of systems in which one or more variables are hypothesized, but not directly observed. Providing a conceptually unified treatment of modeling of this type -- exploratory and confirmatory factor analysis, path analysis, and structural equation analysis -- it is intended to introduce these techniques to individuals who have had some exposure to statistical methods in general, but are beginners in this particular area. Using an inductive and informal approach, it emphasizes the use of path diagrams and a variety of concrete examples, and keeps the mathematics largely intuitive. Examples are drawn from a variety of fields, including psychometrics, sociology, psychology, education and behavior genetics. Although some introductory material is provided for LISREL, EQS, and CALIS, and for exploratory factor analysis programs in SAS, SPSS, and BMPD, the book is not closely tied to any one computer program or statistical package.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Lawrence Erlbaum Associates Inc
Date d'édition
1998
Langue
anglais
ISBN 10 
0805828311
ISBN 13 
9780805828313
Reliure
Broché
Numéro d'édition
3
Nombre de pages
328
Coordonnées du fabricant
non disponible
Personne responsable
non disponible