Test Development and Validation by Gary Skaggs frameworks for test development and validation, and guidance for developing tests in straightforward language in one core text. Covering the changes in testing, technical development of tests and determining validity of tests, this book offers clear explanations within a real-world context.
Test Development and Validation by Gary Skaggs frameworks for test development and validation, and guidance for developing tests in straightforward language in one core text. Covering the changes in testing, technical development of tests and determining validity of tests, this book offers clear explanations within a real-world context.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Gary Skaggs is a Professor in the Educational Research and Evaluation Program at Virginia Tech. He teaches courses in test development and test theory as well as introductory and intermediate statistics. He is the author or co-author of 81 publications, including articles in peer-reviewed journals, papers in conference proceedings, book chapters, invited lectures, and professional conference papers/presentations. His research interests include test equating, differential item functioning, standard setting, and cognitive diagnostic models. Dr. Skaggs has served as a test and psychometric consultant to numerous professional organizations including the GED Testing Service, Maryland State Board of Education, National Board of Professional Teaching Standards, Carilion Clinic Department of Psychiatry, and the National Association of Secondary School Principals.
Inhaltsangabe
Part 1: The Big Picture Chapter 1: Measurement in the Social Sciences Chapter 2: The Evolution of Validity Chapter 3: Test Scaling and Scoring Chapter 4: Classical Test Theory Part 2: Test Development Chapter 5: Frameworks for Test Development Chapter 6: Test Specifications Chapter 7: Item Writing and Scoring Chapter 8: Pilot Testing and Item Analysis Chapter 9: Introduction to Rasch Measurement Theory Part 3: Validation Chapter 10: Fairness, DIF, and Item Bias Chapter 11: Dimensionality Chapter 12: Standard Setting Chapter 13: Validity Evidence and Validation Plans Appendix A: Guide to Sample Data Sets Appendix B: R Code for Analyses
Part 1: The Big Picture Chapter 1: Measurement in the Social Sciences Chapter 2: The Evolution of Validity Chapter 3: Test Scaling and Scoring Chapter 4: Classical Test Theory Part 2: Test Development Chapter 5: Frameworks for Test Development Chapter 6: Test Specifications Chapter 7: Item Writing and Scoring Chapter 8: Pilot Testing and Item Analysis Chapter 9: Introduction to Rasch Measurement Theory Part 3: Validation Chapter 10: Fairness, DIF, and Item Bias Chapter 11: Dimensionality Chapter 12: Standard Setting Chapter 13: Validity Evidence and Validation Plans Appendix A: Guide to Sample Data Sets Appendix B: R Code for Analyses
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