Advances in Meta-Analysis (Statistics for Social and by Terri Pigott

By Terri Pigott

The topic of the booklet is complex statistical analyses for quantitative examine synthesis (meta-analysis), and chosen sensible matters on the subject of examine synthesis that aren't lined intimately within the many current introductory books on learn synthesis (or meta-analysis). advanced statistical matters are coming up extra often because the basic study that's summarized in quantitative syntheses itself turns into extra complicated, and as researchers who're carrying out meta-analyses turn into extra bold within the questions they need to deal with. additionally as researchers have won extra adventure in engaging in learn syntheses, a number of key concerns have persevered and now seem primary to the firm of summarizing research.

Specifically the ebook describes multivariate analyses for numerous indices widespread in meta-analysis (e.g., correlations, influence sizes, proportions and/or odds ratios), will define tips to do energy research for meta-analysis (again for every of different different types of examine consequence indices), and examines concerns round study caliber and study layout and their roles in synthesis. for every of the statistical themes we'll study the several attainable statistical versions (i.e., fastened, random, and combined versions) which may be followed by way of a researcher. In facing the problems of research caliber and learn design it covers a variety of particular subject matters which are of large quandary to analyze synthesists. in lots of fields a present factor is tips to make feel of effects whilst stories utilizing numerous diverse designs look in a study literature (e.g., Morris & Deshon, 1997, 2002). In schooling and different social sciences a severe element of this factor is how one may well include qualitative (e.g., case examine) learn inside of a synthesis. In medication, similar concerns trouble no matter if and the way to summarize observational experiences, and whether or not they could be mixed with randomized managed trials (or whether 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 bargains with the sensible (non-statistical) matters lined.

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