Measurement Theory in Action - Kenneth S. Shultz
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Présentation Measurement Theory In Action de Kenneth S. Shultz Format Broché
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Résumé :
'This book provides all the information one would need to perform classical test theory analyses for reliability, item analysis, etc., and relieves professors of the need to come up with such information on their own. This allows them to concentrate on presenting the mathematical and statistical bases for the procedures that students will be using'
- Keith F. Widaman, University of California, Davis
'There is a real need for something like this, and the authors have done a good job covering the domain'
- Kevin Murphy, Pennsylvania State University
The major emphasis of most psychometrics textbooks is on explaining test theory. Although students certainly need this foundation, professors wishing to supplement theory with applied examples and exercises have traditionally had very few sources. Measurement Theory in Action: Case Studies and Exercises is the perfect solution. In this volume, authors Kenneth Shultz and David Whitney provide professors and students the opportunity to implement the theoretical material students are exposed to elsewhere in their courses.
The text comprises twenty modules, each corresponding to entire chapters in typical measurement theory texts. The modules begin with introductory concepts and a review of statistics; progress through conceptions of content, criterion-related, and construct validation, validity generalization and test bias; and they conclude with more advanced topics such as multiple regression and item response theory (IRT). Each module is composed of an overview, case studies, exercises, Internet references, and suggested further readings. Also included are step-by-step examples that allow students to practice their skills in the area of applied psychological measurement. An extensive glossary of key terms is also provided for quick reference.
Key Features
- Concise overviews clarify major topics in classical and modern test theory
- Case studies depict typical dilemmas and difficulties faced when applying measurement theory
- Exercises include brief in-class assignments, take-home or lab tasks that require the use of statistical analysis software, and course-long test development projects
- Suggested readings and Internet references provide timely and relevant measurement-related information
Measurement Theory in Action is ideal as a supplemental text for any measurement course across the social sciences and especially in departments of psychology and education. Professional researchers and academics in need of a quick refresher on the application of measurement theory will also find this an invaluable reference.
Biographie: Kenneth S. Shultz earned his M.A. and Ph.D. degrees in Industrial/Organizational psychology from Wayne State University. He is a professor in the psychology department at California State University, San Bernardino and serves as director of their Master of Science Program in I/O Psychology. Professor Shultz teaches undergraduate courses in statistics, tests and measurements, and industrial psychology and graduate courses in correlation and regression statistics, applied psychological measurement, and personnel selection and test validation. Prior to his academic career, he worked for four years for the City of Los Angeles as a personnel research analyst, where he conducted applied psychological measurement projects in job analysis, test validation and other applied areas, and he continues to engage in consulting assignments on applied measurement issues for public and private agencies, giving him solid real world experience to apply to this book. He has presented papers and published articles on a variety of applied measurement and test construction issues in addition to his substantive work in the aras of personnel selection, aging workforce issues, and retirement. When not teaching or writing, he enjoys running, watching sports, and generally hanging out with his wife and son.
Sommaire:
Preface
List of Tables
List of Figures
List of Case Studies
List of Exercises
INTRODUCTION
Module 1 - Introduction and Overview
Module 2 - Statistics Review for Psychological Measurement
Module 3 - Psychological Scaling
Module 4 - Test Preparation and Specification
RELIABILITY, VALIDITY, AND TEST BIAS
Module 5 - Classical True Score Theory and Reliability
Module 6 - Content Validation
Module 7 - Criterion-Related Validation
Module 8 - Construct Validation
Module 9 - Validity Generalization and Meta-analysis
Module 10 - Test Bias and Unfairness
PRACTICAL ISSUES IN TEST CONSTRUCTION
Module 11 - Developing Tests of Maximal Performance
Module 12 - Classical Test Theory Item Analysis
Module 13 - Scoring Tests
Module 14 - Diversity Issues
Module 15 - Developing Measures of Typical Performance
Module 16 - Response Biases
ADVANCED TOPICS
Module 17 - Combining Predictors Using Multiple Regression
Module 18 - Exploratory and Confirmatory Factor Analysis
Module 19 - Item Response Theory (IRT)
Module 20 - Applications of IRT: Computer Adaptive Testing (CAT) and Differential Item
Functioning (DIF)
References
Glossary of terms
Appendix A - Course long exercise on psychological scale development
Appendix B - Data descriptions for exercises
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