書籍詳細

書籍詳細




洋書

項目反応理論ハンドブック(全3巻)

Handbook of Item Response (3-Volume Set)

Van Der Linden, Wim J. (EDT)   Hambleton, Ronald K. (EDT)

Chapman & Hall 2018/01
1,500 p. 200 illus.    巻数・付録など: 3 vols.
装丁: Hrd    装丁について
テキストの言語: ENG    出版国: GB
ISBN: 9781466514393
KCN: 1013524123
紀伊國屋書店 選定タイトル
標準価格:¥61,655(本体 ¥56,050)   
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納期について
DDC: 519
KDC: C11 社会調査法・統計学
C200 心理学一般
C310 教育調査
ブックニュースNo: NB4279
関連書リスト: NB4279
NB4407
SB2957 社会学ハンドブック2018
NB4346
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Annotation

Drawing on the work of 75 internationally acclaimed experts in the field, this Handbook presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools.

Full Description

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton's classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.

Table of Contents

VOLUME ONE: MODELS Introduction Wim J. van der Linden Dichotomous Models Unidimensional Logistic Models Wim J. van der Linden Rasch Model Matthias von Davier Nominal and Ordinal Models Nominal Categories Models David Thissen and Li Cai Rasch Rating Scale Model David Andrich Graded Response Models Fumiko Samejima Partial Credit Model Geoff N. Masters Generalized Partial Credit Model Eiji Muraki and Mari Muraki Sequential Models for Ordered Responses Gerhard Tutz Models for Continuous Responses Gideon J. Mellenbergh Multidimensional and Multicomponent Models Normal-Ogive Multidimensional Models Hariharan Swaminathan and H. Jane Rogers Logistic Multidimensional Models Mark D. Reckase Linear Logistic Models Rianne Janssen Multicomponent Models Susan E. Embretson Models for Response Times Poisson and Gamma Models for Reading Speed and Error Margo G. H. Jansen Lognormal Response-Time Model Wim J. van der Linden Diffusion-Based Response-Time Models Francis Tuerlinckx, Dylan Molenaar, and Han L. J. van der Maas Nonparametric Models Mokken Models Klaas Sijtsma and Ivo W. Molenaar Bayesian Nonparametric Response Models George Karabatsos Functional Approaches to Modeling Response Data James Ramsay Models for Nonmonotone Items Hyperbolic Cosine Model for Unfolding Responses David Andrich Generalized Graded Unfolding Model James S. Roberts Hierarchical Response Models Logistic Mixture-Distribution Response Models Matthias von Davier and Jurgen Rost Multilevel Response Models with Covariates and Multiple Groups Jean-Paul Fox and Cees A. W. Glas Two-Tier Item Factor Analysis Modeling Li Cai Item-Family Models Cees A. W. Glas, Wim J. van der Linden, and Hanneke Geerlings Hierarchical Rater Models Jodi M. Casabianca, Brian W. Junker, and Richard J. Patz Randomized Response Models for Sensitive Measurements Jean-Paul Fox Joint Hierarchical Modeling of Responses and Response Times Wim J. van der Linden and Jean-Paul Fox Generalized Modeling Approaches Generalized Linear Latent and Mixed Modeling Sophia Rabe-Hesketh and Anders Skrondal Multidimensional, Multilevel, and Multi-Timepoint Item Response Modeling Bengt Muthen and Tihomir Asparouhov Mixed-Coefficients Multinomial Logit Models Raymond. J. Adams, Mark R. Wilson, and Margaret L. Wu Explanatory Response Models Paul De Boeck and Mark R. Wilson VOLUME TWO: STATISTICAL TOOLS Basic Tools Logit, Probit, and Other Response Functions James H. Albert Discrete Distributions Jodi M. Casabianca and Brian W. Junker Multivariate Normal Distribution Jodi M. Casabianca and Brian W. Junker Exponential Family Distributions Relevant to IRT Shelby J. Haberman Loglinear Models for Observed-Score Distributions Tim Moses Distributions of Sums of Nonidentical Random Variables Wim J. van der Linden Information Theory and Its Application to Testing Hua-Hua Chang, Chun Wang, and Zhiliang Ying Modeling Issues Identification of Item Response Theory Models Ernesto San Martin Models with Nuisance and Incidental Parameters Shelby J. Haberman Missing Responses in Item Response Modeling Robert J. Mislevy Parameter Estimation Maximum-Likelihood Estimation Cees A. W. Glas Expectation Maximization Algorithm and Extensions Murray Aitkin Bayesian Estimation Matthew S. Johnson and Sandip Sinharay Variational Approximation Methods Frank Rijmen, Minjeong Jeon, and Sophia Rabe-Hesketh Markov ChainMonte Carlo for Item Response Models Brian W. Junker, Richard J. Patz, and Nathan M. VanHoudnos Statistical Optimal Design Theory Heinz Holling and Rainer Schwabe Model Fit and Comparison Frequentist Model-Fit Tests Cees A. W. Glas Information Criteria Allan S. Cohen and Sun-Joo Cho Bayesian Model Fit and Model Comparison Sandip Sinharay Model Fit with Residual Analyses Craig S. Wells and Ronald K. Hambleton VOLUME THREE: APPLICATIONS Item Calibration and Analysis Item-Calibration Designs Martijn P.F. Berger Parameter Linking Wim J. van der Linden and Michelle D. Barrett Dimensionality Analysis Robert D. Gibbons and Li Cai Differential Item Functioning Dani Gamerman, Flavio B. Goncalves, and Tufi M. Soares Calibrating Technology-Enhanced Items Richard M. Luecht Person Fit and Scoring Person Fit Cees A. W. Glas and Naveed Khalid Score Reporting and Interpretation Ronald K. Hambleton and April L. Zenisky IRT Observed-Score Equating Wim J. van der Linden Test Design Optimal Test Design Wim J. van der Linden Adaptive Testing Wim J. van der Linden Standard Setting Daniel Lewis and Jennifer Lord-Bessen Test Speededness and Time Limits Wim J. van der Linden Item and Test Security Wim J. van der Linden Areas of Application Large-Scale Group-Score Assessments John Mazzeo Psychological Testing Paul De Boeck Cognitive Diagnostic Assessment Chung Wang and Hua-Hua Chang Health Measurement Richard C. Gershon, Ron D. Hays, and Michael Kallen Marketing Research Martijn G. de Jong and Ulf Boeckenholt Measuring Change Using Rasch Models Gerhard H. Fischer Computer Programs IRT Packages in R Thomas Rusch, Patrick Mair, and Reinhold Hatzinger Bayesian Inference Using Gibbs Sampling (BUGS) for IRT Models Matthew S. Johnson BILOG-MG Michele F. Zimowski PARSCALE Eiji Muraki IRTPRO Li Cai Xcalibre 4 Nathan A. Thompson and Jieun Lee EQSIRT Peter M. Bentler, Eric Wu, and Patrick Mair ACER ConQuest Raymond J. Adam, Margaret L. Wu, and Mark R. Wilson Mplus Bengt Muthen and Linda Muthen GLLAMM Sophia Rabe-Hesketh and Anders Skrondal Latent GOLD Jeroen K. Vermunt WinGen Kyung (Chris) T. Han Firestar Seung W. Choi jMetrik J. Patrick Meyer