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EUR 90,63
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In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781441921963.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 165,50
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In den WarenkorbPaperback. Zustand: Brand New. 402 pages. 9.00x6.00x0.97 inches. In Stock.
Sprache: Englisch
Verlag: Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441921966 ISBN 13: 9781441921963
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -This volume gathers together a set of extensions of the Rasch model, one of the most prominent models for measurement in educational research and - cial science developed by Danish mathematician Georg Rasch. The idea for this volume emerged during a meeting of the Psychometric Society in M- terey, CA. At that meeting, friends and colleagues discussed news about the impending retirement of Dr. Jurgen ¿ Rost, an important innovator and m- tor in this eld. To recognize Jurgen¿s ¿ contributions, we decided to produce a collection of research on extending the Rasch model as well as embedding the Rasch model in more complex statistical models, an area that is receiving broad interest in many elds of social sciences at the current time. This collection contains 22 chapters by recognized international experts in the eld.Thecontributionscovertopicsrangingfromgeneralmodelextensions to application in elds as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designed for categorical data, often collected as ex- inees¿ responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model¿s elegant mathema- cal form is suitable for extensions that allow for greater exibility in handling complex samples of examinees and collections of tasks from di erent domains. In these extensions, the Rasch model is enhanced by additional structural - ements that account either for di erences between diverse populations or for di erences among observed variables.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch.
Sprache: Englisch
Verlag: Springer New York, Springer US, 2010
ISBN 10: 1441921966 ISBN 13: 9781441921963
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume gathers together a set of extensions of the Rasch model, one of the most prominent models for measurement in educational research and - cial science developed by Danish mathematician Georg Rasch. The idea for this volume emerged during a meeting of the Psychometric Society in M- terey, CA. At that meeting, friends and colleagues discussed news about the impending retirement of Dr. Jurgen Rost, an important innovator and m- tor in this eld. To recognize Jurgen's contributions, we decided to produce a collection of research on extending the Rasch model as well as embedding the Rasch model in more complex statistical models, an area that is receiving broad interest in many elds of social sciences at the current time. This collection contains 22 chapters by recognized international experts in the eld.Thecontributionscovertopicsrangingfromgeneralmodelextensions to application in elds as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designed for categorical data, often collected as ex- inees' responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model's elegant mathema- cal form is suitable for extensions that allow for greater exibility in handling complex samples of examinees and collections of tasks from di erent domains. In these extensions, the Rasch model is enhanced by additional structural - ements that account either for di erences between diverse populations or for di erences among observed variables.