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Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Antiquariaat A. Kok & Zn. B.V., Amsterdam, Paesi Bassi
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Aggiungi al carrelloMaastricht, 2006. 159 pp. Softcover. (Diss.).
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Regression-Based Normative Data for Psychological Assessment | A Hands-On Approach Using R | Wim van der Elst | Taschenbuch | xi | Englisch | 2025 | Springer | EAN 9783031509537 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Books Puddle, New York, NY, U.S.A.
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Lingua: Inglese
Editore: Springer Nature Switzerland, 2024
ISBN 10: 3031509501 ISBN 13: 9783031509506
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 171,19
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the last 20 years, so-called regression-based normative methods have become increasingly popular. In this approach, regression models for the mean and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size to derive accurate norms. This book focuses on regression-based methods to derive normative data. The target audience are psychologists and other researchers in the behavioral sciences who are interested in deriving normative data for psychological tests (e.g., cognitive tests, questionnaires, rating scales, etc.). The book provides the essential theoretical background that is needed to understand the methodology, with a strong emphasis on the practical/real-life application of the methodology. To this end, the book is also accompanied by an open-source software package (the R library NormData) that is used to exemplify how normative data can be derived in several case studies.
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EUR 179,61
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the last 20 years, so-called regression-based normative methods have become increasingly popular. In this approach, regression models for the mean and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size to derive accurate norms. This book focuses on regression-based methods to derive normative data. The target audience are psychologists and other researchers in the behavioral sciences who are interested in deriving normative data for psychological tests (e.g., cognitive tests, questionnaires, rating scales, etc.). The book provides the essential theoretical background that is needed to understand the methodology, with a strong emphasis on the practical/real-life application of the methodology. To this end, the book is also accompanied by an open-source software package (the R library NormData) that is used to exemplify how normative data can be derived in several case studies.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 493 pages. 9.25x6.10x9.21 inches. In Stock.
Da: SomeThingz. Books etcetera., Averbode, Belgio
EUR 45,00
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Aggiungi al carrelloLaken : LACA , 2004 Gelijmd, plastic osmlag, 263pp., 21.5x29.5cm., ills. in z/w., ingoede staat (cover met lichte gebruikssporen). Schaars.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 134,27
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 134,27
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Switzerland, 2024
ISBN 10: 3031509501 ISBN 13: 9783031509506
Da: moluna, Greven, Germania
EUR 144,94
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a solid introduction in regression-based normative methods without being overly technicalComes with a comprehensive open-source software package to help efficiently derive regression-based normative dataFocuses strongly on the prac.
Lingua: Inglese
Editore: Springer, Springer Jun 2025, 2025
ISBN 10: 3031509536 ISBN 13: 9783031509537
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 496 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031509501 ISBN 13: 9783031509506
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the last 20 years, so-called regression-based normative methods have become increasingly popular. In this approach, regression models for the mean and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size to derive accurate norms. This book focuses on regression-based methods to derive normative data. The target audience are psychologists and other researchers in the behavioral sciences who are interested in deriving normative data for psychological tests (e.g., cognitive tests, questionnaires, rating scales, etc.). The book provides the essential theoretical background that is needed to understand the methodology, with a strong emphasis on the practical/real-life application of the methodology. To this end, the book is also accompanied by an open-source software package (the R library NormData) that is used to exemplify how normative data can be derived in several case studies. 482 pp. Englisch.