Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
When a meta-analysis on results from experimental studies is conducted, differences in the
study design must be taken into consideration. A method for combining results across
independent-groups and repeated measures designs is described, and the conditions under
which such an analysis is appropriate are discussed. Combining results across designs
requires that (a) all effect sizes be transformed into a common metric,(b) effect sizes from
each design estimate the same treatment effect, and (c) meta-analysis procedures use …
study design must be taken into consideration. A method for combining results across
independent-groups and repeated measures designs is described, and the conditions under
which such an analysis is appropriate are discussed. Combining results across designs
requires that (a) all effect sizes be transformed into a common metric,(b) effect sizes from
each design estimate the same treatment effect, and (c) meta-analysis procedures use …
Abstract
When a meta-analysis on results from experimental studies is conducted, differences in the study design must be taken into consideration. A method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed. Combining results across designs requires that (a) all effect sizes be transformed into a common metric,(b) effect sizes from each design estimate the same treatment effect, and (c) meta-analysis procedures use design-specific estimates of sampling variance to reflect the precision of the effect size estimates.(PsycINFO Database Record (c) 2016 APA, all rights reserved)
American Psychological Association