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Applied Meta-Analysis for Social Science Research (Methodology in the Social Sciences)
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Review
"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, which may stimulate readers to investigate new approaches and practices. I will recommend this book to my colleagues in psychology and education who are interested in learning meta-analysis."--Soyeon Ahn, PhD, Research, Measurement, and Evaluation Program, University of Miami "This book teaches individuals how to do a meta-analysis from start to finish. Readers learn how to search the literature, code studies, statistically combine study results, and write up the results. Card covers topics not included in most textbooks, such as how to retrieve unpublished studies, the creation of a coding manual, effect sizes from multiple regression analysis, publication bias, and multivariate procedures in meta-analysis. I like the 'Practical Matters' sections in the chapters. This is an excellent textbook for a course on meta-analysis, and an excellent manual for anyone wanting to conduct a meta-analysis."--Brad J. Bushman, PhD, Institute for Social Research, University of Michigan "The book is well organized and walks the reader through the concepts in an accessible, logical manner. The definitions and explanations are clear and easy to follow, and the consistent use of examples throughout the chapters is very helpful. The author does a nice job of presenting key considerations, alternative approaches, and the strengths and shortcomings of each option. The reading level and writing style are appropriate for graduate student readers."--Jody A. Worley, PhD, Department of Human Relations, University of Oklahoma-Tulsa"Card's book is written in a nontechnical style that would work well in a graduate course, or it could be used by someone who is just learning meta-analysis. Card takes the reader through the multiple steps in creating a meta-analytic study, such as retrieving studies, creating a coding manual, and using effect size indices, as well as how to write a meta-analytic review paper. His book is peppered with examples of the technique, which makes the topic more accessible and easier to understand. He also provides advice on the utility of meta-analysis software, such as how it can be used and whether it is needed. This book is written like a good recipe that the reader can follow from beginning to end to produce a meta-analytic study ready to submit for publication....Describes how to do meta-analysis without bogging down the reader with equations. Card offers simple explanations of what to do in meta-analysis and provides enough background so that the reader can understand the rationale behind procedures and why the procedures need to be completed." (PsycCRITIQUES 2012-07-27)
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About the Author
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.
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Product details
Series: Methodology in the Social Sciences
Paperback: 377 pages
Publisher: The Guilford Press; Reprint edition (October 6, 2015)
Language: English
ISBN-10: 1462525008
ISBN-13: 978-1462525003
Product Dimensions:
6.1 x 0.9 x 9.2 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review:
4.4 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#194,379 in Books (See Top 100 in Books)
Well written book which was bought as a reference after attending his lecture. He is a good speaker and makes things so easy to understand. The book is a good resource for details and references, if you are planning to conduct a meta-analytic review.
Easily understandable and truly describes the many aspects of a meta analysis. It is detailed enough but with excellent examples.
I find that most books on the topic are either too heavy in stats and opaque equations or, on the contrary -- too superficial and merely give an overview sufficient to make you a more intelligent consumer of such research, but not train you to be a researcher yourself. This book is a great exception. I really enjoyed this clearly written book because it provides a very practical explanations of what to do, how to do it and why. The math is kept to the bare minimum and each equation is well explained. It is well organized and easy to follow.I am, however, a bit disappointed that the author chose to skip some issues regarding them as "too difficult for you, the reader" and did not like the use of the sometimes didactic tone (feels like the author was saying: this is really really complicated and you are not so bright, so I will skip this topic altogether. You'll understand when you are older").
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