Handbook diagnostic classification models (14 résultats)

Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
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Langue : anglais
Edité par Springer Nature Switzerland AG, CH, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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Hardback. Etat : New. 2019 ed. This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed…for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.

Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
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Langue : anglais
Edité par Springer Nature Switzerland AG, CH, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
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Hardback. Etat : New. 2019 ed.

Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
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Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
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Etat : New. pp. 656.

Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theo…retical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.

Langue : anglais
Edité par Springer Verlag, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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Hardcover. Etat : Brand New. 656 pages. 9.25x6.25x1.50 inches. In Stock.

Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
- impression à la demande
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Langue : anglais
Edité par Springer International Publishing, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
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Vendeur : moluna, Greven, Allemagnemoluna
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A major collection that describes the state of the art of diagnostic classification models (DCMs)Provides chapters on the majority of popular DCMs as well as cutting edge model extensions developed by leading ex…perts in the field.

Langue : anglais
Edité par Springer International Publishing, Springer Nature Switzerland Okt 2019, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, b…ut also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies. 672 pp. Englisch.

Langue : anglais
Edité par Springer, Springer Okt 2019, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
- impression à la demande
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but a…lso the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs.Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills.DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills.The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few.Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 672 pp. Englisch.

Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
- impression à la demande
Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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Etat : New. Print on Demand pp. 656.

Langue : anglais
Edité par Springer, 2019
Série : Livre 10 sur 11 - Methodology of Educational Measurement and Assessment
- Couverture rigide
- impression à la demande
Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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Etat : New. PRINT ON DEMAND pp. 656.