• Chapter 1: Introductory Factor Analysis Concepts


• Chapter 2: Requirements for and Decisions in Choosing Exploratory Common Factor Analysis


• Chapter 3: Requirements and Decisions for Implementing Exploratory Common Factor Analysis


• Chapter 4: Factor Analysis Assumptions


• Chapter 5: Implementing and Interpreting Exploratory Factor Analysis


• Chapter 6: Summary, Conclusions, and Recommendations

Leandre R. Fabrigar is Associate Professor of Psychology at Queen's University. He received his PhD in Psychology with a minor in Quantitative Psychology in 1995 from the Ohio State University. His primary research and teaching falls within the domains of attitudes, quantitative methods (including factor analysis and structural equation modeling), and psychological measurement. His research has been supported by grants from the Social Science and Humanities Research Council of Canada, Canadian Institutes of Health Research, and the Ontario Problem Gambling Research Centre.
Duane T. Wegener is Professor of Psychology at the Ohio State University and held previous faculty positions at Yale University and Purdue University. He received his PhD in Psychology with a minor in Quantitative Psychology in 1994 from Ohio State University. His primary research and interests are in attitudes and social cognition. He also teaches undergraduate and graduate statistics and research methods.

This book provides a non-mathematical introduction to the theory and application of Exploratory Factor Analysis. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, and procedures for determining the appropriate number of factors.