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Cover image for Measurement Theory and Applications for the Social Sciences
Title:
Measurement Theory and Applications for the Social Sciences
Series:
Methodology in the social sciences
Physical Description:
xxiii, 661 pages : illustrations ; 26 cm.
ISBN:
9781462532131
Abstract:
I. Instrument Development and Analysis1. Introduction2. Norms and Standardized Scores3. The Test Development Process4. Writing Cognitive Items5. Writing Noncognitive Items6. Item Analysis for Cognitive and Noncognitive ItemsII. Reliability and Validity7. Introduction to Reliability and the Classical Test Theory Model8. Methods of Assessing Reliability9. Interrater Agreement and Reliability10. Generalizability Theory11. ValidityIII. Advanced Topics in Measurement Theory12. Exploratory Factor Analysis13. Confirmatory Factor Analysis14. Item Response Theory, with Christine E. DeMars15. Diagnostic Classification Models, with Laine P. Bradshaw16. Bias, Fairness, and Legal Issues in Testing17. Standard Setting18. Test Equating

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30000010343310 HA29 B364 2018 Open Access Book Book
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Summary

Summary

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.


Author Notes

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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