Verlag: The Guilford Press (edition Reprint), 2015
ISBN 10: 1462525008 ISBN 13: 9781462525003
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Good. Reprint. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Anbieter: Books From California, Simi Valley, CA, USA
Paperback. Zustand: Very Good.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 62,10
Anzahl: 1 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 64,84
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 377 pages. 8.43x5.85x0.73 inches. In Stock.
Kartoniert / Broschiert. Zustand: New. Noel A. Card PhD, is Associate Professor in Educational Psychology at the University of Connecticut. His areas of interest include child and adolescent social development and quantitative research methods. He has received the Society for Research in Chil.
Taschenbuch. Zustand: Neu. Applied Meta-Analysis for Social Science Research | Noel A Card | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2015 | Guilford Publications | EAN 9781462525003 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Verlag: Guilford Publications Okt 2015, 2015
ISBN 10: 1462525008 ISBN 13: 9781462525003
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and ''Practical Matters'' sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.