December 1, 1998Psychological Methods
Fixed- and random-effects models in meta-analysis.
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Implication
Randomized trial evaluates the performance of fixed- and random-effects models in meta-analysis, indicating each model's suitability for different inference goals.
Key Points
- This research aims to evaluate the performance of fixed and random-effects models in meta-analysis, focusing on their suitability for different inference goals.
- Compare confidence intervals and hypothesis tests for fixed- and random-effects procedures.
- Assess the performance of conditionally random-effects procedures as a hybrid model.
- Summarize effects using estimates of effect size like correlation coefficients and standardized mean differences.
- Fixed-effects models provide accurate estimates for studies with homogeneity in effect parameters.
- Random-effects models effectively summarize a distribution of effect parameters across a range of studies.
- Hybrid conditionally random-effects procedures exhibit properties between fixed- and random-effects models.
Cite This Study
Hedges et al. (1998) studied this question.