Accounting for Heterogeneity via Random-Effects Models and Moderator Analyses in Meta-Analysis
By W. Viechtbauer. 2007
177 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/34d5a573b4b33617b2a2679610355049011940b6
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Citations in the corpus
- Beyond Culture Learning Theory (2013, background): “Effect size differences for these variables may have been entirely random, information regarding the moderator values may not have contained enough information to source specific causes of variability, or perhaps certain study level characteristics were not examined by this moderator (Hedges, 1983; ”
- Are expert athletes 'expert' in the cognitive laboratory? A meta-analytic review of cognition and sport expertise (2010, background): “Mixed-effect models provide a more stringent test of moderators and help to diminish the possibility of Type I errors, which can become severely inflated in the typical fixed-effects with moderators approach to meta-analysis (Viechtbauer, 2007).”
- The Power of Feedback Revisited: A Meta-Analysis of Educational Feedback Research (2020, unknown): “In random-effects models, it can be tested if moderators are suitable for reducing heterogeneity (the random-effects model then becoming a mixed-effects model), but without assuming homogeneity (Viechtbauer, 2007).”
- Leadership behaviour and leader self-reported well-being: A review, integration and meta-analytic examination (2020, methodology): “Besides using the random-effects model to take random heterogeneity into account (e.g. Viechtbauer, 2007), we used the 95% confidence interval (CI) to assess the accuracy of the effects and report various statistics, as they show different advantages and disadvantages: Cochran’s Q statistic, I2…”
- The Effects of Vocabulary Intervention on Young Children’s Word Learning (2010, background): “However, these moderator analyses should not be interpreted as testing causal relationships (Cooper, 1998; Viechtbauer, 2007).”
- Effects of psycho-oncologic interventions on emotional distress and quality of life in adult patients with cancer: systematic review and meta-analysis. (2013, methodology): “However, we first tested heterogeneity under the fixed effects model.(37) We quantified heterogeneity by using I(2).”