Latent Variables and Factor Analysis

Informationen zum Autor Salvatore Babones is an associate professor in sociology & social policy at the University of Sydney. Prior to this he was an assistant professor of sociology, public health, and public & International affairs at the University of Pittsburgh. He has worked as a statistician and statistical consultant in both the private and university sectors. He is the author or editor of eight books and more than two dozen academic research articles. His academic research focuses on emerging market societies and statistical methods for comparative social science research. He is the author most recently of Methods for Quantitative Macro-Comparative Research (Sage, 2014). Klappentext This four-volume Major Work contains texts which explore both the foundations of latent variables and factor analysis, and specific contemporary challenges in the field. The collection has been designed as a multi-disciplinary resource, with literature drawn from many different areas of study, such as sociology, psychology, education and political science. In the editor's introductory essay, a general approach to the meaning and use of latent variables in the social sciences is laid out, the basics of factor analysis and how it works are explained, and the logic that guided the selection of literature included in the collection is elaborated upon. The combination of these elements makes for a truly comprehensive and user-friendly research tool, invaluable to social scientists across a range of disciplines. Volume One: The Conceptualization and Operationalization of Variables Volume Two: Applications of Unmeasured Variables Volume Three: Factor Analysis for Latent Variables Volume Four: Advanced Topics Zusammenfassung This four-volume Major Work contains texts which explore both the foundations of latent variables and factor analysis! and specific contemporary challenges in the field. Inhaltsverzeichnis 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 Ex...

Product details

• Authors: Salvatore J. Babones
• Assisted by: Salvatore J Babones (Editor), Salvatore J J Babones (Editor)
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Hardback
• Released: 19.02.2015
• EAN: 9781446294604
• ISBN: 978-1-4462-9460-4
• No. of pages: 1472
• Subject: Social sciences, law, business > Media, communication > Communication science