In this article, we provide guidance for substantive researchers on the use of structural
equation modeling in practice for theory testing and development. We present a�…

Examines multivariate analysis with latent variables and, more narrowly, linear structural
equation models (simultaneous equations, path analysis, structural relations, and�…

This book introduces the reader to the main quantitative concepts, methods, and
computational techniques needed for the development, evaluation, and application of tests�…

Comprehensive and comprehensible, this classic text covers the basic and advanced topics
essential for using factor analysis as a scientific tool in psychology, education, sociology�…

In textbooks and courses in statistics, substantive and measurement issues are rarely, if at
all, considered. Similarly, textbooks and courses in measurement virtually ignore design and�…

Many health care practitioners and researchers are aware of the need to employ factor
analysis in order to develop more sensitive instruments for data collection. Unfortunately�…

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�…

The purpose of this paper is to examine the usefulness of factor analysis in developing and
evaluating personality scales that measure limited domain constructs The approach�…

An effective technique for data analysis in the social sciences The recent explosion in
longitudinal data in the social sciences highlights the need for this timely publication. Latent�…

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J.
Harris has updated A Primer of Multivariate Statistics to provide a model of balance between�…