Tools

LEADER 03724cam a2200553 i 4500

001 on1287752270;

003 OCoLC;

005 20220427101524.4;

008 211120s2022 nyua b 001 0 eng ;

010 a| 2021044937;

019 a| 1287745723;

020 a| 9781462547753;

020 a| 1462547753q| hardcover;

035 a| (Sirsi) o1287752270;

035 a| (OCoLC)1287752270z| (OCoLC)1287745723;

042 a| pcc;

050 00 a| H61.25b| .D4 2022;

082 00 a| 300.1/51182| 23/eng/20211206;

084 a| SOC027000a| BUS0610002| bisacsh;

100 1 a| De Ayala, R. J.q| (Rafael Jaime),d| 1957-e| author.=| ^A796060;

245 14 a| The theory and practice of item response theory /c| R.J. de Ayala.;

250 a| Second edition.;

264 1 a| New York :b| The Guilford Press,c| [2022];

300 a| xxiv, 643 pages :b| illustrations ;c| 27 cm.;

336 a| textb| txt2| rdacontent;

337 a| unmediatedb| n2| rdamedia;

338 a| volumeb| nc2| rdacarrier;

490 1 a| Methodology in the social sciences;

504 a| Includes bibliographical references and indexes.;

505 0 a| Introduction to measurement -- The one-parameter model -- Joint maximum likelihood parameter estimation -- Marginal maximum likelihood parameter estimation -- The two-parameter model -- The three-parameter model -- Rasch models for ordered polytomous data -- Non-Rasch models for ordered polytomous data -- Models for nominal polytomous data -- Models for multidimensional data -- Linking and equating -- Differential item functioning -- Multilevel IRT models.;

520 a| "Simple to more complex models are covered in consistently formatted chapters that build sequentially. The book takes the reader from model development through the fit analysis and interpretation phases that would be performed in practice. To facilitate understanding, common datasets are used across chapters, with the examples worked through for increasingly complex models. Exemplary model applications include free (BIGSTEPS, NOHARM, Facets, R packages) and commercial (BILOG-MG, flexMIRT, SAS, WINMIRA, SPSS, SYSTAT) software packages. The companion website provides data files and online-only appendices. New to This Edition: Chapter on multilevel models. New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics. Many additional worked-through examples. Updated guidance on software; now includes R, SAS, and flexMIRT. Keywords: introduction to IRT, Rasch models, psychometrics, tests and measurement, intermediate, advanced psychometrics texts, modern measurement, latent variable analysis, graduate courses, classes, applied statistics, psychometricians, flexMIRT, testing"--c| Provided by publisher.;

650 0 a| Item response theory.=| ^A146127;

650 0 a| Social sciencesx| Mathematical models.=| ^A605575;

650 0 a| Social sciencesx| Statistical methods.=| ^A4814;

650 0 a| Psychometrics.=| ^A4135;

650 7 a| SOCIAL SCIENCE / Statistics.2| bisacsh;

650 7 a| BUSINESS & ECONOMICS / Statistics.2| bisacsh;

650 7 a| Item response theory.2| fast0| (OCoLC)fst00980819;

650 7 a| Psychometrics.2| fast0| (OCoLC)fst01081639;

650 7 a| Social sciencesx| Mathematical models.2| fast0| (OCoLC)fst01122931;

650 7 a| Social sciencesx| Statistical methods.2| fast0| (OCoLC)fst01122983;

830 0 a| Methodology in the social sciences.=| ^A406768;

949 a| Order on Demandw| ASISh| JOYNER219;

960 o| 1s| 75.00u| JSOCz| USD;

961 f| DMDm| 138099;

596 a| 1;

998 a| 5822064;

999 a| H61.25 .D4 2022w| LCc| 1i| 30372017781102d| 4/29/2026e| 4/29/2026k| JMISSINGl| JGESm| JOYNERr| Ms| Yt| JGESBKu| 5/23/2022x| BOOKz| JSTACKS;

The theory and practice of item response theory / R.J. de Ayala.

Author/creator	De Ayala, R. J., 1957- author.
Format	Book
Edition	Second edition.
Publication	New York : The Guilford Press, [2022]
Description	xxiv, 643 pages : illustrations ; 27 cm.
Subjects	Item response theory. Social sciences--Mathematical models. Social sciences--Statistical methods. Psychometrics.

Series	Methodology in the social sciences Methodology in the social sciences. ^A406768
Contents	Introduction to measurement -- The one-parameter model -- Joint maximum likelihood parameter estimation -- Marginal maximum likelihood parameter estimation -- The two-parameter model -- The three-parameter model -- Rasch models for ordered polytomous data -- Non-Rasch models for ordered polytomous data -- Models for nominal polytomous data -- Models for multidimensional data -- Linking and equating -- Differential item functioning -- Multilevel IRT models.
Abstract	"Simple to more complex models are covered in consistently formatted chapters that build sequentially. The book takes the reader from model development through the fit analysis and interpretation phases that would be performed in practice. To facilitate understanding, common datasets are used across chapters, with the examples worked through for increasingly complex models. Exemplary model applications include free (BIGSTEPS, NOHARM, Facets, R packages) and commercial (BILOG-MG, flexMIRT, SAS, WINMIRA, SPSS, SYSTAT) software packages. The companion website provides data files and online-only appendices. New to This Edition: Chapter on multilevel models. New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics. Many additional worked-through examples. Updated guidance on software; now includes R, SAS, and flexMIRT. Keywords: introduction to IRT, Rasch models, psychometrics, tests and measurement, intermediate, advanced psychometrics texts, modern measurement, latent variable analysis, graduate courses, classes, applied statistics, psychometricians, flexMIRT, testing"-- Provided by publisher.
Bibliography note	Includes bibliographical references and indexes.
LCCN	2021044937
ISBN	9781462547753
ISBN	1462547753 hardcover

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