Latent Variables and Factor Analysis

Salvatore J. Babones is a senior lecturer in sociology and social policy at the University of Sydney and an associate fellow at the Institute for Policy Studies (IPS). Previously, he was an assistant professor of sociology, public health, and public and international affairs at the University of Pittsburgh. He holds both a PhD in sociology and an MSE in mathematical sciences from the Johns Hopkins University. Dr. Babones is the author or editor of eight books and more than thirty academic papers. He is the editor of Applied Statistical Modeling and Fundamentals of Regression Modeling, both published by SAGE as part of the Benchmarks in Social Research Methods reference series. His academic research focuses on globalization, economic development, and statistical methods for comparative social science research.

VOLUME ONE: MEASUREMENT BASICS Part One: Perspectives on Measurement Measurement and Conceptualization Problems: The Major Obstacle to Integrating Theory and Research - H.M. Blalock, Jr Detection and Determinants of Bias in Subjective Measures - Kenneth Bollen and Pamela Paxton Conventional Wisdom on Measurement: A Structural Equation Perspective - Kenneth Bollen and Richard Lennox Measurement in Sociology - Floyd House A History of Social Science Measurement - Benjamin Wright Part Two: Construct Validity Classical and Modern Methods of Psychological Scale Construction - Leonard Simms Construct Validity in Psychological Tests - Lee Cronbach and Paul Meehl Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix - Donald Campbell and Donald Fiske Assessing Construct Validity in Organizational Research - Richard Bagozzi, Youjae Yi and Lynn Phillips The Empirical Assessment of Construct Validity - Scott O'Leary-Kelly and Robert Vokurka The Dangers of Poor Construct Conceptualization - Scott MacKenzie Part Three: Item Response Theory Classical Test Theory - Robert DeVellis The New Rules of Measurement - Susan Embretson Applying Item Response Theory (IRT) Modeling to Questionnaire Development, Evaluation and Refinement - Maria Orlando Edelen and Bryce Reeve The Past and Future of Multidimensional Item Response Theory - Mark Reckase VOLUME TWO: EXPLORATORY AND CONFIRMATORY FACTOR ANALYSIS Part Four: Exploratory Factor Analysis Exploratory Factor Analysis: A User's Guide - Eamonn Ferguson and Tom Cox Evaluating the Use of Exploratory Factor Analysis in Psychological Research - Leandre Fabrigar et al. The Quality of Factor Solutions in Exploratory Factor Analysis: The Influence of Sample Size, Communality, and Overdetermination - Kristine Hogarty et al. A Review and Evaluation of Exploratory Factor Analysis Practices in Organizational Research - James Conway and Allen Huffcutt Use of Exploratory Factor Analysis in Published Research: Common Errors and Some Comment on Improved Practice - Robin Henson and Kyle Roberts Evaluating the Use of Exploratory Factor Analysis in Developmental Disability Psychological Research - Megan Norris and Luc Lecavalier Part Five: Confirmatory Factor Analysis Factor Analytic Models: Viewing the Structure of an Assessment Instrument from Three Perspectives - Barbara Byrne The Generality of Criminal Behavior: A Confirmatory Factor Analysis of the Criminal Activity of Sex Offenders in Adulthood - Patrick Lussier, Marc LeBlanc and Jean Proulx Confirmatory Factor Analyses of Multitrait-Multimethod Data: Many Problems and a Few Solutions - Herbert Marsh Sample Size and Number of Parameter Estimates in Maximum Likelihood Confirmatory Factor Analysis: A Monte Carlo Investigation - Dennis Jackson Reporting Practices in Confirmatory Factor Analysis: An Overview and Some Recommendations - Dennis Jackson, J. Arthur Gillaspy, Jr and Rebecca Purc-Stephenson Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review - James Schreiber et al. Part Six: Exploratory Versus Confirmatory Factor Analysis Factor Analysis in Counseling Psychology Research, Training, and Practice: Principles, Advances, and Applications - Jeffrey Kahn Exploratory and Confirmatory Factor Analysis: Guidelines, Issues, and Alternatives - Amy Hurley et al. Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis - Thomas Schmitt Comparing Exploratory and Confirmatory Factor Analysis: A Study on the 5-Factor Model of Personality - Peter Borkenau and Fritz Ostendorf In Search of Underlying Dimensions: The Use (and Abuse) of Factor Analysis in Personality and Social Psychology Bulletin - Daniel Russell VOLUME THREE: ALTERNATIVE APPROACHES TO LATENT VARIABLES Part Seven: Principal Components Analysis Component Analysis versus Common Factor Analysis: Some Issues in Selecting an Appropriate Procedure - Wayne Velicer and Douglas Jackson Component Analysis versus Common Factor Analysis: A Monte Carlo Study - Steven Snook and Richard Gorsuch Common Factor Analysis versus Principal Component Analysis: Differential Bias in Representing Model Parameters? - Keith Widaman Constructing Socio-economic Status Indices: How to Use Principal Components Analysis - Seema Vyas and Lilani Kumaranayake Part Eight: Formative Measurement Index Construction with Formative Indicators: An Alternative to Scale Development - Adamantios Diamantopoulos and Heidi Winklhofer A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research - Cheryl Burke Jarvis, Scott MacKenzie and Philip Podsakoff Interpretation of Formative Measurement in Information Systems Research - Ronald Cenfetelli and Genevieve Basseller Advancing Formative Measurement Models - Adamantios Diamantopoulos, Petra Riefler and Katharina Roth The Error Term in Formative Measurement Models: Interpretation and Modeling Implication - Adamantios Diamantopoulos Questions about Formative Measurement - James Wilcox, Roy Howell and Einar Breivik Formative Measurement and Academic Research: In Search of Measurement Theory - Andrew Hardin et al. Part Nine: Formative Versus Reflective Measurement On the Nature and Direction of Relationships between Constructs and Measures - Jeffrey Edwards and Richard Bagozzi Reconsidering Formative Measurement - Roy Howell, James Wilcox and Einar Brievik Interpretational Confounding Is Due to Misspecification, Not to Type of Indicator: Comment on Howell, Breivik and Wilcox (2007) - Kenneth Bollen On the Meaning of Formative Measurement and How It Differs from Reflective Measurement: Comment on Howell, Breivik and Wilcox (2007) - Richard Bagozzi Is Formative Measurement Really Measurement? Reply to Bollen (2007) and Bagozzi (2007) - Roy Howell, James Wilcox and Einar Brievik The Fallacy of Formative Measurement - Jeffrey Edwards VOLUME FOUR: ADVANCED TOPICS Part Ten: Factor Analysis With Ordinal And Dichotomous Data Empirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis with Ordinal Data - David Flora and Patrick Curran Evaluating Estimation Methods for Ordinal Data in Structural Equation Modeling - Pui-Wa Lei The Sensitivity of Confirmatory Maximum Likelihood Analysis to Violations of Measurement Scale and Distributional Assumptions - Emin Babakus, Carl Ferguson, Jr and Karl Joereskog Polychoric versus Pearson Correlations in Exploratory and Confirmatory Factor Analysis of Ordinal Variables - Francisco Holgado-Tello et al. Part Eleven: Factor Rotations Factor Rotations in Factor Analyses - Herve Abdi The Invariance Problem in Factor Analysis - J. Guilford Rotation Criteria and Hypothesis Testing for Exploratory Factor Analysis: Implications for Factor Pattern Loadings and Interfactor Correlations - Thomas Schmitt and Daniel Sass A Comparison of Factor Rotation Methods for Dichotomous Data - W. Holmes Finch Part Twelve: Latent Class Analysis Searching for Ideal Types: The Potentialities of Latent Class Analysis - Jacques Hagenaars and Loek Halman Latent Class Models in Social Work - Susan Neely-Barnes Identifying Class Structure: A Latent Class Analysis of the Criterion-Related and Construct Validity of the Goldthorpe Class Schema - Geoffrey Evans and Colin Mills Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling with Latent Trajectory Classes - Bengt Muthen and Linda Muthen The Integration of Continuous and Discrete Latent Variable Models: Potential Problems and Promising Opportunities - Daniel Bauer and Patrick Curran

"Dr. Babones has brought together an important collection of articles on latent variables and factor analysis that applied researcher and practitioners will find essential for understanding methodological foundations, as well as relevant applications. This is necessary in a time when the amount of information on factor analysis can be overwhelming for both beginners and experts alike." -- Tom A Schmitt, PhD. "This collection is a wonderful resource for students who are planning to learn about this important method. The carefully-chosen papers and the editor's introductory essays will greatly facilitate self-study in this field. Beginners will save substantial time to get the right direction in learning, especially when courses and workshops on factor analyses are not available. Meanwhile, the collection is also a valuable reader for instructors to teach these methods. I appreciate Professor Babones' work in this collection, and I am sure many students and scholars will benefit from this publication." -- Qiushi Feng These volumes provide a fine historical and comprehensive coverage of exploratory and confirmatory factor analysis. The theory and practical use of factor analysis are both superbly presented. At the same time, special attention is given to foundation issues in measurement, and how factor analysis relates to these issues. Researchers, students, and faculty members will find these volumes essential aids in deepening and broadening their knowledge and skills. -- Richard P. Bagozzi This is a carefully-selected and well-balanced set of key articles covering a wide range of issues in factor analysis and latent variable modeling. What is particularly impressive is the inclusion of "classic" papers from several disciplines that have shaped or even revolutionalized thinking on measurement and modeling. Both novice and experienced researchers across disciplines will strongly benefit from consulting this comprehensive reference work. Congratulations for putting together such an an excellent resource. -- Professor Adamantios Diamantopoulos