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20140310151444.0 |
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100528s2010 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781441907424 |
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978-1-4419-0742-4 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA276-280 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.5 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
New York, NY : |
| -- |
Springer New York, |
| -- |
2010. |
| 912 ## - |
|---|
| -- |
ZDB-2-SMA |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fox, Jean-Paul. |
| Relator term |
author. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Bayesian Item Response Modeling |
| Medium |
[electronic resource] : |
| Remainder of title |
Theory and Applications / |
| Statement of responsibility, etc |
by Jean-Paul Fox. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XIV, 313p. |
| Other physical details |
online resource. |
| 440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Statistics for Social and Behavioral Sciences |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
to Bayesian Response Modeling -- Bayesian Hierarchical Response Modeling -- Basic Elements of Bayesian Statistics -- Estimation of Bayesian Item Response Models -- Assessment of Bayesian Item Response Models -- Multilevel Item Response Theory Models -- Random Item Effects Models -- Response Time Item Response Models -- Randomized Item Response Models. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for many response modeling problems. Free from computational constraints, realistic and state-of-the-art latent variable response models are considered for complex assessment and survey data to solve real-world problems. The Bayesian framework described provides a unified approach for modeling and inference, dealing with (nondata) prior information and information across multiple data sources. The book discusses methods for analyzing item response data and the complex relationships commonly associated with human response behavior and features • Self-contained introduction to Bayesian item response modeling and a coverage of extending standard models to handle complex assessment data • A thorough overview of Bayesian estimation and testing methods for item response models, where MCMC methods are emphasized • Numerous examples that cover a wide range of application areas, including education, medicine, psychology, and sociology • Datasets and software (S+, R, and WinBUGS code) of the models and methods presented in the book are available on www.jean-paulfox.com Bayesian Item Response Modeling is an excellent book for research professionals, including applied statisticians, psychometricians, and social scientists who analyze item response data from a Bayesian perspective. It is a guide to the growing area of Bayesian response modeling for researchers and graduate students, and will also serve them as a good reference. 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistics. |
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| Topical term or geographic name as entry element |
Epidemiology. |
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| Topical term or geographic name as entry element |
Educational tests and measurements. |
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| Topical term or geographic name as entry element |
Marketing. |
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| Topical term or geographic name as entry element |
Social sciences |
| General subdivision |
Methodology. |
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| Topical term or geographic name as entry element |
Psychometrics. |
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| Topical term or geographic name as entry element |
Statistics. |
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| Topical term or geographic name as entry element |
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. |
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|---|
| Topical term or geographic name as entry element |
Psychometrics. |
|
|---|
| Topical term or geographic name as entry element |
Assessment, Testing and Evaluation. |
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|---|
| Topical term or geographic name as entry element |
Methodology of the Social Sciences. |
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|---|
| Topical term or geographic name as entry element |
Marketing. |
|
|---|
| Topical term or geographic name as entry element |
Epidemiology. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9781441907417 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-1-4419-0742-4 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
