In Psychometrics, R Michael Furr and Verne R Bacharach centre their presentation of material around a conceptual understanding of psychometric issues, such as validity and reliability, and on purpose rather than procedure, the 'why' rather than the 'how to'. By emphasizing concepts over mathematical proofs and by focusing on practical significance, this book will assist students in appreciating not just how measurement problems can be addressed but why it is important to address them.
The Second Edition has been thoroughly revised to improve the clarity and accessibility of key concepts and to increase the depth of discussions. Many new tables and figures have been added and the references have been significanly updated and expanded. An entirely new chapter on confirmatory factor analysis has also been added to this edition. This new chapter focuses on the use of CFA to evaluate measurement models, including in-depth discussion of the logic and interpretation of the process.
Key features of this volume:
- presents information in a clear, easy-to-read, conversational style: the authors introduce concepts in a way that is accessible to non-professionals without sacrificing the academic integrity of the material
- highlights practical applications: intended to enhance readers' appreciation of the importance of psychometrics, the book provides examples that will resonate with students
- offers an up-to-date treatment of topics in psychometrics: the book offers readers the most contemporary views of topics in psychometrics available in the non-technical psychometric literature
- introduces statistical procedures in the context of their use rather than in a separate chapter: the authors integrate statistics with a discussion of their use as tools to solve particular psychometric problems, encouraging a more complete understanding of both.
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Maße
Höhe: 254 mm
Breite: 178 mm
Gewicht
ISBN-13
978-1-4522-5680-1 (9781452256801)
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Schweitzer Klassifikation
Michael Furr is Professor of Psychology and Wright Faculty Fellow at Wake Forest University, where he teaches and conducts research in personality psychology, psychological measurement, and quantitative methods. He earned a BA from the College of William and Mary, an MS from Villanova University, and a PhD from the University of California at Riverside. He is an editor of the "Statistical Developments and Applications" section of the Journal of Personality Assessment, a former associate editor of the Journal of Research in Personality, a former executive editor of the Journal of Social Psychology, and a consulting editor for several other scholarly journals. He received Wake Forest University's 2012 Award for Excellence in Research, and he won the Society for Personality Assessment's 2017 Bruno Klopfer Award for Distinguished Contributions to the Literature in Personality Assessment,. He is a fellow of Divisions 5 (Quantitative and Qualitative Methods) and 8 (Social and Personality Psychology) of the American Psychological Association, a fellow of the Association for Psychological Science, and a fellow of the Society for Personality and Social Psychology.
Verne R. Bacharach is professor of psychology at Appalachian State University. He has held faculty appointments at the University of Alabama, Peabody College of Vanderbilt University, and Acadia University in Nova Scotia and has chaired the departments at Appalachian State and Acadia. He has taught undergraduate and graduate courses in statistics, tests and measurements, and research methods for nearly 40 years. He has a long journal publication history of research and review articles. Dr. Bacharach obtained a Ph.D. in experimental psychology from the University of Kansas in 1971.
Chapter 1. Psychometrics and the Importance of Psychological Measurement
PART I. BASIC CONCEPTS IN MEASUREMENT
Chapter 2. Scaling
Chapter 3. Individual Differences and Correlations
Chapter 4. Test Dimensionality and Factor Analysis
PART II. RELIABILITY
Chapter 5. Reliability: Conceptual Basis
Chapter 6. Empirical Estimates of Reliability
Chapter 7. The Importance of Reliability
PART III. VALIDITY
Chapter 8. Validity: Conceptual Basis
Chapter 9. Estimating and Evaluating Convergent and Discriminant Validity Evidence
PART IV. THREATS TO PSYCHOMETRIC QUALITY
Chapter 10. Response Biases
Chapter 11. Test Bias
PART V. ADVANCED PSYCHOMETRIC APPROACHES
Chapter 12. Confirmatory Factor Analysis
Chapter 13. Generalizability Theory
Chapter 14. Item Response Theory and Rasch Models
