Testlet Response Theory and Its Applications (Paperback)

Howard Wainer

ISBN 10: 052168126X / ISBN 13: 9780521681261

Editore: Cambridge University Press, Cambridge, 2007

Riguardo questo articolo

Paperback. The measurement models employed to score tests have been evolving over the past century from those that focus on the entire test (true score theory) to models that focus on individual test items (item response theory) to models that use small groups of items (testlets) as the fungible unit from which tests are constructed and scored (testlet response theory, or TRT). In this book, the inventors of TRT trace the history of this evolution and explain the character of modern TRT. Written for researchers and professionals in statistics, psychometrics, and educational psychology, the first part offers an accessible introduction to TRT and its applications. The second part presents a comprehensive, self-contained discussion of the model couched within a fully Bayesian framework. Its parameters are estimated using Markov chain Monte Carlo procedures, and the resulting posterior distributions of the parameter estimates yield insights into score stability that were previously unsuspected. Modern tests are often composed of a large number of testlets - smaller tests that focus on a narrow topic. Testlet response theory (TRT) is an appropriate scoring model for such tests. This book, written by TRT's inventors, is the first comprehensive description of this theory. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Codice articolo 9780521681261

Dati bibliografici

• Titolo: Testlet Response Theory and Its Applications (Paperback)
• Editore: Cambridge University Press, Cambridge
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 052168126X
• ISBN 13: 9780521681261
• Rilegatura: Paperback
• Edizione: prima edizione
• Condizione: new

Descrizione articolo

Riassunto

The first comprehensive description of a scoring model for tests composed of smaller tests focusing on narrow topics.

Informazioni sugli autori

Dr Howard Wainer is a Distinguished Research Scientist for the National Board of Medical Examiners and Adjunct Professor of Statistics at the Wharton School of the University of Pennsylvania.

Eric T. Bradlow is the K. P. Chao Professor, Professor of Marketing and Statistics, and Academic Director of the Wharton Small Business Development Center, Wharton School of the University of Pennsylvania. Before joining the Wharton faculty, he worked in the Corporate Marketing and Business Research Division at the DuPont Corporation, and in the Statistics and Psychometrics Research Group at the Educational Testing Service. Bradlow was recently named a Fellow of the American Statistical Association.

Dr Xiaohui Wang is an Assistant Professor in the Department of Statistics at the University of Virginia. She worked as a Principal Data Analyst for three years in the Division of Data Analysis and Research Technology at the Educational Testing Service. She has twice received the National Council on Measurement in Education Award for Scientific Contribution to a Field of Educational Measurement.