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Noel A. Card - Applied Meta-Analysis for Social Science Research - 9781609184995 - V9781609184995
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Applied Meta-Analysis for Social Science Research

€ 114.92
FREE Delivery in Ireland
Description for Applied Meta-Analysis for Social Science Research Hardcover. Series: Methodology in the Social Sciences. Num Pages: 377 pages, Illustrations. BIC Classification: JHBC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 244 x 166 x 29. Weight in Grams: 802.

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 The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review.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; ... Read more

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Product Details

Format
Hardback
Publication date
2011
Publisher
Guilford Publications United States
Number of pages
377
Condition
New
Series
Methodology in the Social Sciences
Number of Pages
377
Place of Publication
New York, United States
ISBN
9781609184995
SKU
V9781609184995
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Noel A. Card
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 Child Development Early Career Research Contributions Award and is an elected member of the Society of Multivariate Experimental Psychology.

Reviews for Applied Meta-Analysis for Social Science Research
Card is to be applauded for his thorough discussion of both the fundamentals and recent advances in meta-analysis, and for his use of such friendly, toned-down language. For instance, the graphical presentation of simulation results in order to explain the threat/impact of publication bias will really help readers understand the concept. I really like the author’s discussions of practical matters, ... Read more

Goodreads reviews for Applied Meta-Analysis for Social Science Research


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