Linear Models for Optimal Test Design - Couverture souple
Livre 8 sur 40: Statistics for Social and Behavioral Sciences
Synopsis
This book can serve as a handbook for researchers or as a text for students in classes on test theory, test construction, or applied statistics.
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Linear Models for Optimal Test Design (Statistics for Social and Behavioral Sciences)
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Linear Models for Optimal Test Design
Edité par
Springer New York Nov 2010, 2010
ISBN 10 : 1441919031
ISBN 13 : 9781441919038
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing. There are hundreds of computer-based credentialing exams in areas such as accounting, real estate, nursing, and securities, as well as the well-known admissions exams for college, graduate school, medical school, and law school - there is great need on the theory of testing.This book presents the statistical theory and practice behind constructing good tests e.g., how is the first test item selected, how are the next items selected, and when do you have enough items. 436 pp. Englisch. N° de réf. du vendeur 9781441919038
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Linear Models for Optimal Test Design
Edité par
Springer New York, 2010
ISBN 10 : 1441919031
ISBN 13 : 9781441919038
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Can serve as a handbook for new developments to test specialists working at testing agencies as well as a text for students in classes on test theory, test construction, or applied statisticsWim van der Linden was just given a lifetime achievement aw. N° de réf. du vendeur 4172472
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Linear Models for Optimal Test Design
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Etat : New. pp. 436. N° de réf. du vendeur 263091618
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Linear Models for Optimal Test Design
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Etat : New. Print on Demand pp. 436 44 Illus. N° de réf. du vendeur 5804925
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Linear Models for Optimal Test Design
Edité par
Springer New York, Springer US Nov 2010, 2010
ISBN 10 : 1441919031
ISBN 13 : 9781441919038
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -Over my nearly forty years of teaching and conducting research in the eld of psychometric methods, I have seen a number of major technical advances that respond to pressing educational and psychological measu- mentproblems. Thedevelopmentofcriterion-referencedassessmentwasthe rst, beginning in the late 1960s with the important work of Robert Glaser and Jim Popham, in response to the need for assessments that considered candidate performance in relation to a well-de ned body of knowledge and skills rather than in relation to a norm group. The development of criterion-referenced testing methodology with a focus on decision-theoretic concepts and methods, content validity, standard-setting, and the recog- tionofthemeritsofbothcriterion-norm-referencedandcriterion-referenced assessments has tremendously in uenced current test theory and testing . The second major advance was the introduction of item response-theory (IRT) and associated models and their applications to replace classical test theory (CTT) and related practices. Beginning slowly in the 1940s and 1950s with the pioneering work of Frederic Lord, Allan Birnbaum, and GeorgRasch,bythe1970sthemeasurementjournalswerefullofimportant research studies describing new IRT models, technical advances in model parameter estimation and model t, and research on applications of IRT models to equating, test development, the detection of potentially biased test items, and adaptive testing. The overall goal has been to improve and expand measurement practices by overcoming several shortcomings of cl- sicaltesttheory:dependenceoftest-itemstatisticsandreliabilityestimates on examinee samples, dependence of examinee true score estimates on the particular choices of test items, and the limitation in CTT of modeling ex-viii Foreword aminee performance at the test level rather than at the item level.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch. N° de réf. du vendeur 9781441919038
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Linear Models for Optimal Test Design
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 436. N° de réf. du vendeur 183091624
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Linear Models for Optimal Test Design
Edité par
Springer New York, Springer US, 2010
ISBN 10 : 1441919031
ISBN 13 : 9781441919038
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Over my nearly forty years of teaching and conducting research in the eld of psychometric methods, I have seen a number of major technical advances that respond to pressing educational and psychological measu- mentproblems. Thedevelopmentofcriterion-referencedassessmentwasthe rst, beginning in the late 1960s with the important work of Robert Glaser and Jim Popham, in response to the need for assessments that considered candidate performance in relation to a well-de ned body of knowledge and skills rather than in relation to a norm group. The development of criterion-referenced testing methodology with a focus on decision-theoretic concepts and methods, content validity, standard-setting, and the recog- tionofthemeritsofbothcriterion-norm-referencedandcriterion-referenced assessments has tremendously in uenced current test theory and testing . The second major advance was the introduction of item response-theory (IRT) and associated models and their applications to replace classical test theory (CTT) and related practices. Beginning slowly in the 1940s and 1950s with the pioneering work of Frederic Lord, Allan Birnbaum, and GeorgRasch,bythe1970sthemeasurementjournalswerefullofimportant research studies describing new IRT models, technical advances in model parameter estimation and model t, and research on applications of IRT models to equating, test development, the detection of potentially biased test items, and adaptive testing. The overall goal has been to improve and expand measurement practices by overcoming several shortcomings of cl- sicaltesttheory:dependenceoftest-itemstatisticsandreliability estimates on examinee samples, dependence of examinee true score estimates on the particular choices of test items, and the limitation in CTT of modeling ex-viii Foreword aminee performance at the test level rather than at the item level. N° de réf. du vendeur 9781441919038
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Linear Models for Optimal Test Design (Statistics for Social and Behavioral Sciences)
Edité par
Springer, 2010
ISBN 10 : 1441919031
ISBN 13 : 9781441919038
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Paperback
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Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA77314419190316
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