By Terri Pigott
The topic of the e-book is complicated statistical analyses for quantitative learn synthesis (meta-analysis), and chosen sensible concerns when it comes to examine synthesis that aren't coated intimately within the many latest introductory books on examine synthesis (or meta-analysis). complicated statistical matters are coming up extra often because the basic study that's summarized in quantitative syntheses itself turns into extra advanced, and as researchers who're carrying out meta-analyses turn into extra formidable within the questions they need to deal with. additionally as researchers have received extra adventure in undertaking learn syntheses, numerous key concerns have continued and now look primary to the company of summarizing research.
Specifically the e-book describes multivariate analyses for numerous indices widespread in meta-analysis (e.g., correlations, influence sizes, proportions and/or odds ratios), will define tips on how to do strength research for meta-analysis (again for every of the several types of examine final result indices), and examines matters round learn caliber and study layout and their roles in synthesis. for every of the statistical subject matters we'll research the various attainable statistical versions (i.e., fastened, random, and combined versions) that may be followed by means of a researcher. In facing the problems of analysis caliber and study design it covers a variety of particular themes which are of large problem to investigate synthesists. in lots of fields a present factor is the best way to make feel of effects while experiences utilizing a number of assorted designs look in a learn literature (e.g., Morris & Deshon, 1997, 2002). In schooling and different social sciences a severe point of this factor is how one could include qualitative (e.g., case research) examine inside a synthesis. In medication, similar concerns situation even if and the way to summarize observational reports, and whether or not they may be mixed with randomized managed trials (or whether they need to be mixed at all).
For each one subject, incorporated is a labored instance (e.g., for the statistical analyses) and/or a close description of a broadcast study synthesis that bargains with the sensible (non-statistical) matters coated.
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Advances in Meta-Analysis (Statistics for Social and Behavioral Sciences) by Terri Pigott