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9781462532131 Add to Cart Academic Inspection Copy

Measurement Theory and Applications for the Social Sciences

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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.

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

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