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

By Noel A. Card PhD

 Offering pragmatic advice for making plans and undertaking a meta-analytic evaluation, this ebook is written in an interesting, nontechnical type that makes it perfect for graduate path use or self-study. the writer exhibits tips on how to determine questions that may be replied utilizing meta-analysis, retrieve either released and unpublished stories, create a coding handbook, use conventional and distinctive influence dimension indices, and write a meta-analytic assessment. An ongoing instance illustrates meta-analytic innovations. as well as the basics, the publication discusses extra complex themes, resembling artifact correction, random- and mixed-effects versions, structural equation representations, and multivariate approaches. elementary good points contain annotated equations; discussions of other methods; and "Practical concerns" sections that supply suggestion on subject matters hardly mentioned in different books, resembling linking meta-analytic effects with idea and the application of meta-analysis software program programs. 

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The final stage of the literature review is the presentation of the review, often in written form. Although I suspend detailed recommendations on reporting meta-­analyses until later in the book, a few general guidelines should be considered here. First, we should be transparent about the review process and decisions taken. Just as empirical works are expected to present sufficient details so that another researcher could replicate the results, a well­w ritten research synthesis should provide sufficient detail for another scholar to replicate the review.

However, both approaches to creating new research questions are valuable, as long as you are upfront about their source when presenting and drawing conclusions from your meta­analysis (see Chapter 13). As is true of analyzing the data, the process of writing your results may lead to refinement of research questions or even the development of new ones. Furthermore, the process of presenting your findings to colleagues—­ through either conference presentations or the peer review process—is likely to generate further refinement and creation of research questions.

Specifically, Chapter 4 offers suggestions for coding study characteristics, and Chapters 5 to 7 describe the coding and correction of various types of effect sizes. 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.

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