A dataset containing simulation results comparing small sample correction methods for cluster robust variance estimation in meta-analysis.
Format
A tibble with 15,300 rows and 8 variables:
- num_studies
the number of studies included in the meta-analysis.
- r
correlation between outcomes.
- Isq
measure of heterogeneity of true effects.
- contrast
type of contrast that was tested.
- test
small sample method used.
- q
the number of parameters in the hypothesis test.
- rej_rate
the Type 1 error rate.
- mcse
the Monte Carlo standard error for the estimate of the Type 1 error rate.
Source
Tipton E, Pustejovsky JE (2015). “Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression.” Journal of Educational and Behavioral Statistics, 40(6), 604--634. ISSN 1076-9986, 1935-1054, doi:10.3102/1076998615606099 , https://journals.sagepub.com/doi/10.3102/1076998615606099.