Overview

Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material. The companion website (www.guilford.com/bandalos-materials) provides annotated examples, syntax, and datasets in both SPSS and SAS (for most chapters), so that readers can redo the analyses in each chapter.

Full Product Details

Author:   Deborah L. Bandalos ,  Christine E. DeMars ,  Laine P. Bradshaw
Publisher:   Guilford Publications
Imprint:   Guilford Press
Weight:   1.378kg
ISBN:  

9781462532131

ISBN 10:   1462532136
Pages:   661
Publication Date:   22 March 2018
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

I. Instrument Development and Analysis 1. Introduction 2. Norms and Standardized Scores 3. The Test Development Process 4. Writing Cognitive Items 5. Writing Noncognitive Items 6. Item Analysis for Cognitive and Noncognitive Items II. Reliability and Validity 7. Introduction to Reliability and the Classical Test Theory Model 8. Methods of Assessing Reliability 9. Interrater Agreement and Reliability 10. Generalizability Theory 11. Validity III. Advanced Topics in Measurement Theory 12. Exploratory Factor Analysis 13. Confirmatory Factor Analysis 14. Item Response Theory, with Christine E. DeMars 15. Diagnostic Classification Models, with Laine P. Bradshaw 16. Bias, Fairness, and Legal Issues in Testing 17. Standard Setting 18. Test Equating

Reviews

Highly readable--the statistical and measurement concepts are described so clearly that even students who think they hate math should be able to grasp the fundamentals. The writing style adds a personal touch to the technical content. Additional strengths are examples from a wide variety of disciplines, the breadth and depth of content coverage, and the step-by-step derivations of mathematical equations. --Lihshing Leigh Wang, PhD, Quantitative and Mixed-Methods Research Methodologies Program, College of Education, Criminal Justice, and Human Services, University of Cincinnati Presents a thorough explanation of measurement theory and how it applies to test development in the educational, cognitive, and affective domains. Because of its practicality and comprehensiveness, this text will be extremely useful to any student or faculty member interested in measurement theory. --Scott L. Graves Jr., PhD, Department of Counseling, Psychology, and Special Education, Duquesne University This text is perfect for psychometrics courses for clinical graduate students, and is also a great introductory text for those who plan to become researchers. It provides equations and explains them for students with varying backgrounds in mathematics. This book meets my needs! It covers the more complex topics that I teach (generalizability theory, item response theory) with sufficient technical detail, but does so in a way that is accessible to most graduate students. --Marcus Boccaccini, PhD, Clinical Psychology Doctoral Program, Sam Houston State University A pleasure to read. Effective examples show me that the author really knows the information, and better yet, is able to communicate it well. Many Tests and Measurement texts are more successful in boring students to death, rather than teaching them, but not this one! It covers much of the material I teach in my course. --John Wallace, PhD, Department of Psychological Science, Ball State University

Author Information

Deborah L. Bandalos, PhD, is Professor and Director of the Assessment and Measurement Doctoral Program in the Department of Graduate Psychology at James Madison University, where she teaches courses in exploratory factor analysis, measurement theory, and missing data methodologies. Her research areas include structural equation modeling and the effects of item wording changes in instrument development. Dr. Bandalos has published articles and book chapters in the areas of structural equation modeling, exploratory factor analysis, and item and scale development. She is an associate editor of Multivariate Behavioral Research and a past associate editor of Structural Equation Modeling. In addition, Dr. Bandalos serves on the editorial boards of Psychological Methods and Applied Measurement in Education, is on the Executive Committee of Division 5 (Quantitative and Qualitative Methods) of the American Psychological Association, and has been elected 2019 President of the Society for Multivariate Experimental Psychology.

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