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 BASICSPart One: Perspectives on MeasurementMeasurement and Conceptualization Problems: The Major Obstacle to Integrating Theory and Research - H.M. Blalock, JrDetection and Determinants of Bias in Subjective Measures - Kenneth Bollen and Pamela PaxtonConventional Wisdom on Measurement: A Structural Equation Perspective - Kenneth Bollen and Richard LennoxMeasurement in Sociology - Floyd HouseA History of Social Science Measurement - Benjamin WrightPart Two: Construct ValidityClassical and Modern Methods of Psychological Scale Construction - Leonard SimmsConstruct Validity in Psychological Tests - Lee Cronbach and Paul MeehlConvergent and Discriminant Validation by the Multitrait-Multimethod Matrix - Donald Campbell and Donald FiskeAssessing Construct Validity in Organizational Research - Richard Bagozzi, Youjae Yi and Lynn PhillipsThe Empirical Assessment of Construct Validity - Scott O’Leary-Kelly and Robert VokurkaThe Dangers of Poor Construct Conceptualization - Scott MacKenziePart Three: Item Response TheoryClassical Test Theory - Robert DeVellisThe New Rules of Measurement - Susan EmbretsonApplying Item Response Theory (IRT) Modeling to Questionnaire Development, Evaluation and Refinement - Maria Orlando Edelen and Bryce ReeveThe Past and Future of Multidimensional Item Response Theory - Mark ReckaseVOLUME TWO: EXPLORATORY AND CONFIRMATORY FACTOR ANALYSISPart Four: Exploratory Factor AnalysisExploratory Factor Analysis: A User’s Guide - Eamonn Ferguson and Tom CoxEvaluating 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 HuffcuttUse of Exploratory Factor Analysis in Published Research: Common Errors and Some Comment on Improved Practice - Robin Henson and Kyle RobertsEvaluating the Use of Exploratory Factor Analysis in Developmental Disability Psychological Research - Megan Norris and Luc LecavalierPart Five: Confirmatory Factor AnalysisFactor Analytic Models: Viewing the Structure of an Assessment Instrument from Three Perspectives - Barbara ByrneThe Generality of Criminal Behavior: A Confirmatory Factor Analysis of the Criminal Activity of Sex Offenders in Adulthood - Patrick Lussier, Marc LeBlanc and Jean ProulxConfirmatory Factor Analyses of Multitrait-Multimethod Data: Many Problems and a Few Solutions - Herbert MarshSample Size and Number of Parameter Estimates in Maximum Likelihood Confirmatory Factor Analysis: A Monte Carlo Investigation - Dennis JacksonReporting Practices in Confirmatory Factor Analysis: An Overview and Some Recommendations - Dennis Jackson, J. Arthur Gillaspy, Jr and Rebecca Purc-StephensonReporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review - James Schreiber et al.Part Six: Exploratory Versus Confirmatory Factor AnalysisFactor Analysis in Counseling Psychology Research, Training, and Practice: Principles, Advances, and Applications - Jeffrey KahnExploratory and Confirmatory Factor Analysis: Guidelines, Issues, and Alternatives - Amy Hurley et al.Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis - Thomas SchmittComparing Exploratory and Confirmatory Factor Analysis: A Study on the 5-Factor Model of Personality - Peter Borkenau and Fritz OstendorfIn Search of Underlying Dimensions: The Use (and Abuse) of Factor Analysis in Personality and Social Psychology Bulletin - Daniel RussellVOLUME THREE: ALTERNATIVE APPROACHES TO LATENT VARIABLESPart Seven: Principal Components AnalysisComponent Analysis versus Common Factor Analysis: Some Issues in Selecting an Appropriate Procedure - Wayne Velicer and Douglas JacksonComponent Analysis versus Common Factor Analysis: A Monte Carlo Study - Steven Snook and Richard GorsuchCommon Factor Analysis versus Principal Component Analysis: Differential Bias in Representing Model Parameters? - Keith WidamanConstructing Socio-economic Status Indices: How to Use Principal Components Analysis - Seema Vyas and Lilani KumaranayakePart Eight: Formative MeasurementIndex Construction with Formative Indicators: An Alternative to Scale Development - Adamantios Diamantopoulos and Heidi WinklhoferA Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research - Cheryl Burke Jarvis, Scott MacKenzie and Philip PodsakoffInterpretation of Formative Measurement in Information Systems Research - Ronald Cenfetelli and Geneviève BassellerAdvancing Formative Measurement Models - Adamantios Diamantopoulos, Petra Riefler and Katharina RothThe Error Term in Formative Measurement Models: Interpretation and Modeling Implication - Adamantios DiamantopoulosQuestions about Formative Measurement - James Wilcox, Roy Howell and Einar BreivikFormative Measurement and Academic Research: In Search of Measurement Theory - Andrew Hardin et al.Part Nine: Formative Versus Reflective MeasurementOn the Nature and Direction of Relationships between Constructs and Measures - Jeffrey Edwards and Richard BagozziReconsidering Formative Measurement - Roy Howell, James Wilcox and Einar BrievikInterpretational Confounding Is Due to Misspecification, Not to Type of Indicator: Comment on Howell, Breivik and Wilcox (2007) - Kenneth BollenOn the Meaning of Formative Measurement and How It Differs from Reflective Measurement: Comment on Howell, Breivik and Wilcox (2007) - Richard BagozziIs Formative Measurement Really Measurement? Reply to Bollen (2007) and Bagozzi (2007) - Roy Howell, James Wilcox and Einar BrievikThe Fallacy of Formative Measurement - Jeffrey EdwardsVOLUME FOUR: ADVANCED TOPICSPart Ten: Factor Analysis With Ordinal And Dichotomous DataEmpirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis with Ordinal Data - David Flora and Patrick CurranEvaluating Estimation Methods for Ordinal Data in Structural Equation Modeling - Pui-Wa LeiThe Sensitivity of Confirmatory Maximum Likelihood Analysis to Violations of Measurement Scale and Distributional Assumptions - Emin Babakus, Carl Ferguson, Jr and Karl JöreskogPolychoric versus Pearson Correlations in Exploratory and Confirmatory Factor Analysis of Ordinal Variables - Francisco Holgado-Tello et al.Part Eleven: Factor RotationsFactor Rotations in Factor Analyses - Hervé AbdiThe Invariance Problem in Factor Analysis - J. GuilfordRotation Criteria and Hypothesis Testing for Exploratory Factor Analysis: Implications for Factor Pattern Loadings and Interfactor Correlations - Thomas Schmitt and Daniel SassA Comparison of Factor Rotation Methods for Dichotomous Data - W. Holmes FinchPart Twelve: Latent Class AnalysisSearching for Ideal Types: The Potentialities of Latent Class Analysis - Jacques Hagenaars and Loek HalmanLatent Class Models in Social Work - Susan Neely-BarnesIdentifying Class Structure: A Latent Class Analysis of the Criterion-Related and Construct Validity of the Goldthorpe Class Schema - Geoffrey Evans and Colin MillsIntegrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling with Latent Trajectory Classes - Bengt Muthén and Linda MuthénThe 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."