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

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

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

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

Synopsis

This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily. A few sections of the book make use of elementary matrix algebra. An appendix on the topic is provided for those who need a review. The author maintains an informal style so as to increase the book's accessibility. Notes at the end of each chapter provide some of the more technical details. The book is not tied to a particular computer program, but special attention is paid to LISREL, EQS, AMOS, and Mx. New in the fourth edition of Latent Variable Models: a data CD that features the correlation and covariance matrices used in the exercises; new sections on missing data, non-normality, mediation, factorial invariance, and automating the construction of path diagrams; and reorganization of chapters 3-7 to enhance the flow of the book and its flexibility for teaching. Intended for advanced students and researchers in the areas of social, educational, clinical, industrial, consumer, personality, and developmental psychology, sociology, political science, and marketing, some prior familiarity with correlation and regression is helpful.

Excerpt

This book is intended as an introduction to an exciting growth 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 modeling, factor analysis-more properly, exploratory factor analysis. in recent decades, confirmatory factor analysis, path analysis, and structural equation modeling have come out of specialized niches and are making their bid to become basic tools in the research repertoire of the social scientist, particularly the one who is forced to deal with complex real-life phenomena in the round: the sociologist, the political scientist, the social, educational, clinical, industrial, personality or developmental psychologist, the marketing researcher, and the like.

All these methods are at heart one, as I have tried to emphasize in the chapters to follow. I have used earlier versions of this book in teaching graduate students from psychology and related disciplines, and have found the particular approach used˜via path diagrams˜to be effective in helping not-toomathematical students grasp underlying relationships, as opposed to merely going through the motions of running computer programs. in some sections of the book a certain amount of elementary matrix algebra is employed; an appendix on the topic is provided for those who may need help here.

In the interests of accessibility, I have tried to maintain a relatively informal style, and to keep the main text fairly uncluttered with references. the notes at the end of each chapter are intended to provide the serious student with a path into the technical literature, as well as to draw his or her attention to some issues beyond the scope of the basic treatment.

The book is not closely tied to a particular computer program or package, although there is some special attention paid to lisrel, eqs, amos, and mx. I assume that most users will have access to a latent-variable modelfitting program on the order of lisrel, eqs, calis, amos, Mplus, 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 in minitab, sas, or spss would be helpful. I have provided some introductory material but have not tried to tell students all they need to know to run actual programs-such information is often local, ephemeral, or both. the . . .

Search by... Author
Show... All Results Primary Sources Peer-reviewed

Oops!

An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.