By Terri Pigott
The topic of the booklet is complex statistical analyses for quantitative examine synthesis (meta-analysis), and chosen functional matters on the subject of examine synthesis that aren't lined intimately within the many present introductory books on study synthesis (or meta-analysis). advanced statistical concerns are coming up extra usually because the basic learn that's summarized in quantitative syntheses itself turns into extra complicated, and as researchers who're undertaking meta-analyses turn into extra formidable within the questions they need to handle. additionally as researchers have won extra event in engaging in examine syntheses, numerous key concerns have continued and now look primary to the firm of summarizing research.
Specifically the ebook describes multivariate analyses for a number of indices conventional in meta-analysis (e.g., correlations, influence sizes, proportions and/or odds ratios), will define tips to do strength research for meta-analysis (again for every of different different types of examine end result indices), and examines matters round examine caliber and examine layout and their roles in synthesis. for every of the statistical issues we'll study different attainable statistical versions (i.e., fastened, random, and combined versions) which may be followed via a researcher. In facing the problems of analysis caliber and study design it covers a variety of particular issues which are of huge obstacle to investigate synthesists. in lots of fields a present factor is tips on how to make experience of effects while stories utilizing a number of diversified designs look in a learn literature (e.g., Morris & Deshon, 1997, 2002). In schooling and different social sciences a serious element of this factor is how one could comprise qualitative (e.g., case learn) learn inside of a synthesis. In medication, comparable matters situation no matter if and the way to summarize observational reports, and whether or not they can be mixed with randomized managed trials (or no matter if they need to be mixed at all).
For every one subject, integrated is a labored instance (e.g., for the statistical analyses) and/or a close description of a printed 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