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20140310151441.0 |
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130531s2011 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780387981383 |
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978-0-387-98138-3 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
LC5225.A75 |
|
|---|
| Classification number |
LB2822.75 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
371.26 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
New York, NY : |
| -- |
Springer New York : |
| -- |
Imprint: Springer, |
| -- |
2011. |
| 912 ## - |
|---|
| -- |
ZDB-2-SMA |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Davier, Alina A. |
| Relator term |
editor. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Statistical Models for Test Equating, Scaling, and Linking |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc |
edited by Alina A. Davier. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XX, 368 p. |
| 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 |
Overview -- A Statistical Perspective on Equating Test Scores (Alina A. von Davier) -- Part I: Research Questions and Data Collection Designs -- Equating Test Scores: Toward Best Practices Neil J. Dorans, Tim P. Moses, and Daniel R. Eignor) -- Scoring and Scaling Educational Tests Michael J. Kolen, Ye Tong, and Robert L. Brennan) -- Statistical Models for Vertical Linking James E. Carlson) -- An Empirical Example of Change Analysis by Linking Longitudinal Item Response Data From Multiple Tests (John J. McArdle and Kevin J. Grimm) -- How to Average Equating Functions, If You Must (Paul W. Holland and William E. Strawderman) -- New Approaches to Equating With Small Samples (Samuel A. Livingston and Sooyeon Kim) -- Part II: Measurement and Equating Models -- Using Exponential Families for Equating (Shelby J. Haberman) -- An Alternative Continuization Method: The Continuized Log-Linear Method (Tianyou Wang) -- Equating Through Alternative Kernels (Yi-Hsuan Lee and Alina A. von Davier) -- A Bayesian Nonparametric Model for Test Equating (George Karabatsos and Stephen G. Walker) -- Generalized Equating Functions for NEAT Designs (Haiwen H. Chen, Samuel A. Livingston, and Paul W. Holland) -- Local Observed-Score Equating (Wim J. van der Linden) -- A General Model for IRT Scale Linking and Scale Transformations (Matthias von Davier and Alina A. von Davier) -- Linking With Nonparametric IRT Models (Xueli Xu, Jeff A. Douglas, and Young-Sun Lee) -- Part III: Evaluation -- Applications of Asymptotic Expansion in Item Response Theory Linking (Haruhiko Ogasawara) -- Evaluating the Missing Data Assumptions of the Chain and Poststratification Equating Methods (Sandip Sinharay, Paul W. Holland, and Alina A. von Davier) -- Robustness of IRT Observed-Score Equating (C. A. W. Glas and Anton A. Béguin) -- Hypothesis Testing of Equating Differences in the Kernel Equating Framework (Frank Rijmen, Yanxuan Qu, and Alina A. von Davier) -- Applying Time-Series Analysis to Detect Scale Drift (Deping Li, Shuhong Li, and Alina A. von Davier). |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monitoring) as opposed to placing the focus on the policy and the implications, which although very important, represent a different side of the equating practice. The book contributes to establishing “equating” as a theoretical field, a view that has not been offered often before. The tradition in the practice of equating has been to present the knowledge and skills needed as a craft, which implies that only with years of experience under the guidance of a knowledgeable practitioner could one acquire the required skills. This book challenges this view by indicating how a good equating framework, a sound understanding of the assumptions that underlie the psychometric models, and the use of statistical tests and statistical process control tools can help the practitioner navigate the difficult decisions in choosing the final equating function. This book provides a valuable reference for several groups: (a) statisticians and psychometricians interested in the theory behind equating methods, in the use of model-based statistical methods for data smoothing, and in the evaluation of the equating results in applied work; (b) practitioners who need to equate tests, including those with these responsibilities in testing companies, state testing agencies, and school districts; and (c) instructors in psychometric, measurement, and psychology programs. Dr. Alina A. von Davier is a Strategic Advisor and a Director of Special Projects in Research and Development at Educational Testing Service (ETS). During her tenure at ETS, she has led an ETS Research Initiative called “Equating and Applied Psychometrics” and has directed the Global Psychometric Services Center. The center supports the psychometric work for all ETS international programs, including TOEFL iBT and TOEIC. She is a co-author of a book on the kernel method of test equating, an author of a book on hypotheses testing in regression models, and a guest co-editor for a special issue on population invariance of linking functions for the journal Applied Psychological Measurement. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Education. |
|
|---|
| Topical term or geographic name as entry element |
Educational tests and measurements. |
|
|---|
| Topical term or geographic name as entry element |
Statistics. |
|
|---|
| Topical term or geographic name as entry element |
Psychometrics. |
|
|---|
| Topical term or geographic name as entry element |
Education. |
|
|---|
| Topical term or geographic name as entry element |
Assessment, Testing and Evaluation. |
|
|---|
| Topical term or geographic name as entry element |
Psychometrics. |
|
|---|
| Topical term or geographic name as entry element |
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. |
| 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 |
9780387981376 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-0-387-98138-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
