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Publicado por Taylor & Francis Group, 2011
ISBN 10: 0415886937 ISBN 13: 9780415886932
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Añadir al carritoCondición: Very Good. 2nd Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Publicado por Taylor & Francis Group, 2011
ISBN 10: 0415886937 ISBN 13: 9780415886932
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Taylor & Francis Group, 2011
ISBN 10: 0415886937 ISBN 13: 9780415886932
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. Rev. ed. of: Single-case and small-n experimental designs / John B. Todman, Pat Dugard. 2001. Num Pages: 304 pages, illustrations. BIC Classification: JMB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 155 x 16. Weight in Grams: 426. . 2011. 2nd Edition. Paperback. . . . . Books ship from the US and Ireland.
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Añadir al carritoCondición: New. Rev. ed. of: Single-case and small-n experimental designs / John B. Todman, Pat Dugard. 2001. Num Pages: 304 pages, illustrations. BIC Classification: JMB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 155 x 16. Weight in Grams: 426. . 2011. 2nd Edition. Paperback. . . . .
Idioma: Inglés
Publicado por Taylor & Francis Group, 2011
ISBN 10: 0415886937 ISBN 13: 9780415886932
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Librería: moluna, Greven, Alemania
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book's website so that users can run analyses of the text data as well as data from their own studies.The new edition features:More explanation as to why randomization tests are useful and how to apply them.More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology.A website with the macros and datasets for all of the text examples in IBM SPSS and Excel.Exercises at the end of most chapters that help readers test their understanding of the material.A new glossary that defines the key words that appear in italics when they are first introduced.A new appendix that reviews the basic skills needed to do randomization tests.New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book.The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own.Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book's accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.