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010 a| 2020053257;

020 a| 9781544363028q| (paperback);

020 z| 9781544363042q| (adobe pdf);

020 z| 9781544363011q| (epub);

020 z| 9781544363035q| (epub);

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100 1 a| Engelhard, George,d| 1953-=| ^A978488;

245 10 a| Rasch models for solving measurement problemsh| [electronic resource] :b| invariant measurement in the social sciences /c| George Engelhard, Jr., University of Georgia, Jue Wang, University of Miami.;

260 a| Los Angeles :b| SAGE,c| [2021];

300 a| xx, 124 pages :b| illustrations ;c| 22 cm.;

490 0 a| Quantitative applications in the social sciences ;v| 187;

504 a| Includes bibliographical references (pages 109-119) and index.;

505 0 a| Constructing a Rasch scale -- Evaluating a Rasch scale -- Maintaining a Rasch scale -- Using a Rasch scale.;

506 a| Available only to authorized users.;

520 a| "This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce the Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

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

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

650 0 a| Rasch models.=| ^A710148;

650 0 a| Invariant measures.=| ^A314768;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Wang, Juec| (Professor of quantitative methodology)=| ^A1418439;

856 40 z| Full text available from SAGE Research Methods Coreu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fmethods.sagepub.com%2Fbook%2Fmono%2Frasch-models-for-solving-measurement-problems%2Ftoc;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5926625-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 10/14/2022x| EBOOKz| JERESOURCE;

Rasch models for solving measurement problems invariant measurement in the social sciences / George Engelhard, Jr., University of Georgia, Jue Wang, University of Miami.

Author/creator	Engelhard, George, 1953-
Other author	Wang, Jue (Professor of quantitative methodology)
Format	Electronic
Publication Info	Los Angeles : SAGE, [2021]
Description	xx, 124 pages : illustrations ; 22 cm.
Supplemental Content	Full text available from SAGE Research Methods Core
Subjects	Social sciences--Mathematical models. Social sciences--Statistical methods. Rasch models. Invariant measures.

Series	Quantitative applications in the social sciences ; 187
Contents	Constructing a Rasch scale -- Evaluating a Rasch scale -- Maintaining a Rasch scale -- Using a Rasch scale.
Abstract	"This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce the Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book"-- Provided by publisher.
Bibliography note	Includes bibliographical references (pages 109-119) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2020053257
ISBN	9781544363028 (paperback)
ISBN	(adobe pdf)
ISBN	(epub)
ISBN	(epub)

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Rasch models for solving measurement problems invariant measurement in the social sciences / George Engelhard, Jr., University of Georgia, Jue Wang, University of Miami.

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