Download Applied Meta-Analysis for Social Science Research by Noel A. Card PhD PDF

By Noel A. Card PhD

 Offering pragmatic information for making plans and carrying out a meta-analytic overview, this publication is written in a fascinating, nontechnical type that makes it excellent for graduate direction use or self-study. the writer indicates find out how to determine questions that may be spoke back utilizing meta-analysis, retrieve either released and unpublished reviews, create a coding guide, use conventional and distinct impact measurement indices, and write a meta-analytic evaluation. An ongoing instance illustrates meta-analytic strategies. as well as the basics, the publication discusses extra complicated issues, similar to artifact correction, random- and mixed-effects types, structural equation representations, and multivariate approaches. elementary good points contain annotated equations; discussions of different techniques; and "Practical issues" sections that provide recommendation on themes hardly ever mentioned in different books, comparable to linking meta-analytic effects with conception and the software of meta-analysis software program programs. 

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Extra info for Applied Meta-Analysis for Social Science Research

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Halpern, Karlawish, & Berlin, 2002; Maxwell, 2004). When a field contains many studies that fail to demonstrate an effect because they have inadequate statistical power, there is the danger that readers of this literature will conclude that an effect does not exist (or that it is weak or inconsistent). 4 Although meta-­analyses can themselves have inadequate statistical power, they will generally5 have greater statistical power than the primary studies comprising them (Cohn & Becker, 2003). For this reason, meta-­analyses are generally less impacted by inadequate statistical power than are primary studies (but see Hedges & Pigott, 2001, 2004 for discussion of underpowered meta­analyses).

This threat is that studies that fail to find significant effects (or that find effects counter to what is expected) are less likely to be published, and therefore less likely to be accessible to the reviewer. , evaluating whether published versus unpublished studies find different effects). , English); this excludes literature written in other languages and therefore may exclude most studies conducted in other countries. Although it would be impractical to learn every language in which An Introduction to Meta-­Analysis 11 relevant literature may be written, you should be aware of this limitation and how it impacts the literature on which the review is based.

Chapters 8 to 12 cover various topics in analyzing effect sizes, including ways of computing average effect sizes, analyzing variability in effect sizes across studies, and evaluating the threat of publication bias. Finally, Chapter 13 addresses the final stage of conducting a meta-­analysis by offering advice on presenting the results of a meta-­analysis. Collectively, these chapters should provide enough information for you to conduct a meta-­analytic review from beginning to end—from conceptualization to publication.

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