Meta-Analysis in Psychology

Course content

Research methodology, systematic review of literature, extraction and coding of studies, creation of database, analysis of overall effect size mean and variance, estimation of random-effects variance, use of moderators (categorical and continuous) to account for variance, graphical methods of data presentation (funnel and forest plots), detection of bias and methods to combat bias (Egger regression, trim-and-fill), sensitivity analysis, checklists and policy statements for presenting the results of a meta-analysis.