Overview of Meta-Analysis, Part 4 (of 7): Data Exploration
Posted: March 28, 2012 | Author: A. R. Hafdahl | Filed under: Overview of Meta-Analysis | Tags: coding, data management, effect size, meta-analysis, missing data, moderator, outlier, reporting guidance, sample size, significance testing | 1 CommentThis seven-part overview’s first three parts focused on collecting data used in meta-analyses: estimates of effect size (ES), sample sizes or conditional variances (CVs) to quantify ES sampling error or (im)precision, and ES features. The overview’s subsequent four parts address analyzing these data and presenting results. In this fourth part I begin by describing preliminary analyses that can help identify errors and issues to attend to in primary analyses. (Part 1 of this overview lists the topics for all seven parts.)
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Overview of Meta-Analysis, Part 3 (of 7): Effect-Size Features
Posted: March 19, 2012 | Author: A. R. Hafdahl | Filed under: Overview of Meta-Analysis | Tags: coding, effect size, inclusion/exclusion, individual participant data, meta-analysis, missing data, moderator, primary-study quality | Leave a commentIn Part 2 of this seven-part overview, I described obtaining the sample size(s) or conditional variance (CV) associated with an effect-size (ES) estimate to quantify this estimate’s sampling error or (im)precision. Here in Part 3 I’ll address coding features linked to ESs. Whereas this overview’s first three parts focus on collecting data used in a research synthesis, its subsequent four parts will address meta-analyzing these data and presenting results. (Part 1 lists the topics for all seven parts.)
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Meta-Analysis Sandwich 