Another project idea: Meta-analytic methods for correlational data

robust variance estimation

James E. Pustejovsky


September 13, 2013

Several different approaches have been proposed for meta-analysis of correlation coefficients. One of the major differences between approaches is the choice of scale: whether effect sizes should be analyzed on the Pearson-r scale or first transformed to the Fisher-z scale. This project will study methods for modeling correlation coefficients on the r scale in the presence of between-study effect heterogeneity. Specific topics include:

This project would be appropriate for a Quantitative Methods graduate student with interests in meta-analysis and hierarchical models.

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