This is the first accessible and practical guide to using multilevel models in social research.
Multilevel approaches are becoming increasingly important in social, behavioural, and educational research and it is clear from recent developments that such models are seen as being more realistic, and potentially more revealing, than ordinary regression models.
While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling.
The authors' approach is user-oriented and the formal mathematics and statistics are kept to a minimum. Other key fe
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`This book offers an introduction to multilevel modelling that is both clear and accessible. For this reason I strongly recommend it to anyone new to the subject.... I particularly liked the non-directive feel to the book, which leaves the reader clear that there are some issues about which they will have to make up their own mind based on the evidence presented.' - British Journal of Mathematical and Statistical Psychology
`If you teach statistics to students with little patience for Greek letters and formulas and who do not have a matrix algebra and mathematical statistics background, I recommend that you use Introducing Multilevel Modeling. - Journal of the American Statistical Association
Introduction
Overview of Contextual Models
Varying and Random Coefficient Models
Analyses
Frequently Asked Questions
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Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Codice articolo G0761951407I4N00
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Da: Kloof Booksellers & Scientia Verlag, Amsterdam, Paesi Bassi
Condizione: very good. London : Sage, 2007. Hardcover. x,149 pp. Original edition. - This is the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly important in social, behavioral, and educational research and it is clear from recent developments that such models are seen as being more realistic, and potentially more revealing, than ordinary regression models. While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. Condition : very good copy. ISBN 9780761951407. Keywords : SOCIOLOGY, Codice articolo 288411
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first accessible and practical guide to using multilevel models in social research. While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyse. Codice articolo 447057672
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 1817420
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 1817420-n
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Da: preigu, Osnabrück, Germania
Buch. Condizione: Neu. Introducing Multilevel Modeling | Ita G G Kreft (u. a.) | Buch | Englisch | 1998 | Sage Publications UK | EAN 9780761951407 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 102366006
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Da: AHA-BUCH GmbH, Einbeck, Germania
Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is the first accessible and practical guide to using multilevel models in social research. While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. Codice articolo 9780761951407
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