By Terri Pigott
The topic of the e-book is complicated statistical analyses for quantitative examine synthesis (meta-analysis), and chosen sensible matters when it comes to examine synthesis that aren't coated intimately within the many latest introductory books on examine synthesis (or meta-analysis). advanced statistical concerns are coming up extra usually because the fundamental learn that's summarized in quantitative syntheses itself turns into extra advanced, and as researchers who're engaging in meta-analyses turn into extra formidable within the questions they need to handle. additionally as researchers have received extra adventure in engaging in learn syntheses, numerous key matters have continued and now seem primary to the firm of summarizing research.
Specifically the ebook describes multivariate analyses for a number of indices popular in meta-analysis (e.g., correlations, impact sizes, proportions and/or odds ratios), will define how you can do strength research for meta-analysis (again for every of the several forms of research end result indices), and examines matters round examine caliber and learn layout and their roles in synthesis. for every of the statistical subject matters we are going to research different attainable statistical types (i.e., mounted, random, and combined types) that may be followed via a researcher. In facing the problems of research caliber and learn design it covers a variety of particular issues which are of large main issue to investigate synthesists. in lots of fields a present factor is the right way to make experience of effects whilst stories utilizing numerous assorted designs seem 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 may perhaps include qualitative (e.g., case learn) study inside of a synthesis. In medication, similar concerns problem no matter if and the way to summarize observational experiences, and whether or not they may be mixed with randomized managed trials (or no matter if they need to be mixed at all).
For every one subject, incorporated is a labored instance (e.g., for the statistical analyses) and/or a close description of a broadcast study synthesis that offers with the sensible (non-statistical) matters lined.
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Advances in Meta-Analysis (Statistics for Social and Behavioral Sciences) by Terri Pigott