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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: Springer-Verlag New York Inc., 2010
ISBN 10: 1441907416 ISBN 13: 9781441907417
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 161,49
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
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Editore: Springer New York, Springer US, 2012
ISBN 10: 1461426065 ISBN 13: 9781461426066
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 164,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The modeling of item response data is governed by item response theory, also referred to as modern test theory. The eld of inquiry of item response theory has become very large and shows the enormous progress that has been made. The mainstream literature is focused on frequentist statistical methods for - timating model parameters and evaluating model t. However, the Bayesian methodology has shown great potential, particularly for making further - provements in the statistical modeling process. The Bayesian approach has two important features that make it attractive for modeling item response data. First, it enables the possibility of incorpor- ing nondata information beyond the observed responses into the analysis. The Bayesian methodology is also very clear about how additional information can be used. Second, the Bayesian approach comes with powerful simulation-based estimation methods. These methods make it possible to handle all kinds of priors and data-generating models. One of my motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian counterpart is presented to the many popular item response theory books (e.g., Baker and Kim 2004; De Boeck and Wilson, 2004; Hambleton and Swaminathan, 1985; van der Linden and Hambleton, 1997) that are mainly or completely focused on frequentist methods. The usefulness of the Bayesian methodology is illustrated by discussing and applying a range of Bayesian item response models.
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The modeling of item response data is governed by item response theory, also referred to as modern test theory. The eld of inquiry of item response theory has become very large and shows the enormous progress that has been made. The mainstream literature is focused on frequentist statistical methods for - timating model parameters and evaluating model t. However, the Bayesian methodology has shown great potential, particularly for making further - provements in the statistical modeling process. The Bayesian approach has two important features that make it attractive for modeling item response data. First, it enables the possibility of incorpor- ing nondata information beyond the observed responses into the analysis. The Bayesian methodology is also very clear about how additional information can be used. Second, the Bayesian approach comes with powerful simulation-based estimation methods. These methods make it possible to handle all kinds of priors and data-generating models. One of my motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian counterpart is presented to the many popular item response theory books (e.g., Baker and Kim 2004; De Boeck and Wilson, 2004; Hambleton and Swaminathan, 1985; van der Linden and Hambleton, 1997) that are mainly or completely focused on frequentist methods. The usefulness of the Bayesian methodology is illustrated by discussing and applying a range of Bayesian item response models.
EUR 156,31
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Aggiungi al carrelloCondizione: New. Introduces Bayesian item response modeling with examples in a wide array of contexts Gives a unified treatment of extending traditional item response models to handle more complex assessment data Computer code and examples facilitate the Baye.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 225,75
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Editore: Springer-Verlag New York Inc., 2012
ISBN 10: 1461426065 ISBN 13: 9781461426066
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 236,92
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Aggiungi al carrelloPaperback. Condizione: Brand New. 327 pages. 9.20x6.10x0.79 inches. In Stock.
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Aggiungi al carrelloCondizione: Buone. Condizioni dell'esterno: Molto buone Condizioni dell'interno: scritta in biro in prima pagina.
Editore: Springer-Verlag New York Inc., 2012
ISBN 10: 1461426065 ISBN 13: 9781461426066
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 165,85
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 527.
Editore: Springer-Verlag New York Inc., 2010
ISBN 10: 1441907416 ISBN 13: 9781441907417
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 167,10
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Editore: Springer New York Jun 2010, 2010
ISBN 10: 1441907416 ISBN 13: 9781441907417
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The modeling of item response data is governed by item response theory, also referred to as modern test theory. The eld of inquiry of item response theory has become very large and shows the enormous progress that has been made. The mainstream literature is focused on frequentist statistical methods for - timating model parameters and evaluating model t. However, the Bayesian methodology has shown great potential, particularly for making further - provements in the statistical modeling process. The Bayesian approach has two important features that make it attractive for modeling item response data. First, it enables the possibility of incorpor- ing nondata information beyond the observed responses into the analysis. The Bayesian methodology is also very clear about how additional information can be used. Second, the Bayesian approach comes with powerful simulation-based estimation methods. These methods make it possible to handle all kinds of priors and data-generating models. One of my motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian counterpart is presented to the many popular item response theory books (e.g., Baker and Kim 2004; De Boeck and Wilson, 2004; Hambleton and Swaminathan, 1985; van der Linden and Hambleton, 1997) that are mainly or completely focused on frequentist methods. The usefulness of the Bayesian methodology is illustrated by discussing and applying a range of Bayesian item response models. 313 pp. Englisch.
Editore: Springer New York, Chapman And Hall/CRC Sep 2012, 2012
ISBN 10: 1461426065 ISBN 13: 9781461426066
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The modeling of item response data is governed by item response theory, also referred to as modern test theory. The eld of inquiry of item response theory has become very large and shows the enormous progress that has been made. The mainstream literature is focused on frequentist statistical methods for - timating model parameters and evaluating model t. However, the Bayesian methodology has shown great potential, particularly for making further - provements in the statistical modeling process. The Bayesian approach has two important features that make it attractive for modeling item response data. First, it enables the possibility of incorpor- ing nondata information beyond the observed responses into the analysis. The Bayesian methodology is also very clear about how additional information can be used. Second, the Bayesian approach comes with powerful simulation-based estimation methods. These methods make it possible to handle all kinds of priors and data-generating models. One of my motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian counterpart is presented to the many popular item response theory books (e.g., Baker and Kim 2004; De Boeck and Wilson, 2004; Hambleton and Swaminathan, 1985; van der Linden and Hambleton, 1997) that are mainly or completely focused on frequentist methods. The usefulness of the Bayesian methodology is illustrated by discussing and applying a range of Bayesian item response models. 328 pp. Englisch.
Da: moluna, Greven, Germania
EUR 136,16
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces Bayesian item response modeling with examples in a wide array of contexts Gives a unified treatment of extending traditional item response models to handle more complex assessment data Computer code and examples facilitate the Baye.
Da: Revaluation Books, Exeter, Regno Unito
EUR 179,91
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Aggiungi al carrelloHardcover. Condizione: Brand New. 313 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.