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Jean-Paul Fox - Bayesian Item Response Modeling: Theory and Applications - 9781441907417 - V9781441907417
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Bayesian Item Response Modeling: Theory and Applications

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Description for Bayesian Item Response Modeling: Theory and Applications hardcover. Covering software implementations in S-plus and R, this volume serves as both a handbook for measurement specialists, as well as a textbook for students of the Bayesian approach to modern test theory. Software implementations are made available online for further instruction. Series: Statistics for Social and Behavioral Sciences. Num Pages: 313 pages, biography. BIC Classification: PBT; PBWH. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 636.
The modeling of item response data is governed by item response theory, also referred to as modern test theory. The eld of inquiry of item response theory has become very large and shows the enormous progress that has been made. The mainstream literature is focused on frequentist statistical methods for - timating model parameters and evaluating model t. However, the Bayesian methodology has shown great potential, particularly for making further - provements in the statistical modeling process. The Bayesian approach has two important features that make it attractive for modeling item response data. First, it enables the possibility of incorpor- ... Read more

Product Details

Format
Hardback
Publication date
2010
Publisher
Springer/Sci-Tech/Trade United States
Number of pages
313
Condition
New
Series
Statistics for Social and Behavioral Sciences
Number of Pages
313
Place of Publication
New York, NY, United States
ISBN
9781441907417
SKU
V9781441907417
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About Jean-Paul Fox
Jean-Paul Fox is Associate Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His main research activities are in several areas of Bayesian response modeling. Dr. Fox has published numerous articles in the areas of Bayesian item response analysis, statistical methods for analyzing multivariate categorical response data, and nonlinear mixed effects models.

Reviews for Bayesian Item Response Modeling: Theory and Applications
From the reviews: “Item response theory is a general paradigm for the design and analysis of questionnaires measuring abilities and attitudes of individuals. … the book is written in a concise style and the technical level of the book is relatively high. … I believe this book makes an important contribution in summarizing much of the important literature in ... Read more

Goodreads reviews for Bayesian Item Response Modeling: Theory and Applications


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