Applied Meta-Analysis for Social Science Research
Applied Meta-Analysis for Social Science Research is a practical guide to planning and conducting meta-analytic reviews in the social sciences. It covers study retrieval, coding, effect sizes, review writing, and more advanced methods, with an ongoing example and advice aimed at graduate courses or self-study.
At a glance
- Explains how to identify research questions suited to meta-analysis and retrieve published and unpublished studies.
- Covers coding manuals, traditional and specialized effect-size indices, and writing a meta-analytic review.
- Advanced topics include artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures.
- Annotated equations and practical discussions address alternative approaches, theory links, and meta-analysis software.
Reference price: $55.00
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- The description spans the review process from question selection and study retrieval through coding and writing.
- An ongoing example accompanies discussion of both foundational and advanced techniques.
- The nontechnical style is presented as suitable for graduate coursework or self-study.
Technical specifications
9 specifications| Publisher | The Guilford Press |
|---|---|
| Publication date | October 6, 2015 |
| Edition | Reprint |
| Language | English |
| Print length | 377 pages |
| ISBN-10 | 1462525008 |
| ISBN-13 | 978-1462525003 |
| Weight listed | 1.5 pounds |
|---|---|
| Dimensions | 6.13 x 0.9 x 9.25 inches |
Who is it for?
A good fit for
- Graduate students studying meta-analysis and social science research methods.
- Researchers planning or writing a systematic quantitative synthesis.
- Readers seeking an introduction that also touches on advanced statistical approaches.
Customer reviews on Amazon
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Frequently asked questions
What does this book cover?
It addresses planning and conducting a meta-analytic review, including question selection, study retrieval, coding, effect sizes, and reporting, plus advanced methods such as mixed-effects models and multivariate procedures.
Is it presented as suitable for beginners?
The listing describes an engaging, nontechnical style and identifies graduate course use and self-study as suitable contexts. It also includes advanced topics, so readers should expect material beyond introductory fundamentals.
Does the book discuss meta-analysis software?
Yes. The description says its practical discussions include the utility of meta-analysis software programs.
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