Study | Heterogeneity estimators | Overall effect (\({\mu }_{\theta }\)) | Amount of heterogeneity (\({\tau }^{2}\)) | Number of studies (\(k\)) | Average sample size (\(N\)) | Replicat |
---|---|---|---|---|---|---|
Viechtbauer [21] | CA, DL, HSiv, ML, REML | 0, 0.2, 0.5, 0.8 | 0, 0.01, 0.025, 0.05, 0.1 | 5, 10, 20, 40, 80 | 20, 40, 80, 160, 320 | 100,000 |
Novianti et al. [43] | CA, MP, DL, REML, SJ, SJ(CA), CA2, DL2 | 0, 0.5 | From 0 to 0.0366 | 10, 15, 20, 30, 50 | From 40 to 400 | 10,000 |
Petropoulou and Mavridis [44] | CA, MP, DL, HSiv, ML, AREML, REML, SJ, SJ(CA), CA2, DL2, HM, MBH, DLp, DLb, BM, RB, RBp, FBinformative, FBvague | 0, 0.3, 0.5, 0.8 | 0, 0.01, 0.05, 0.5 | 10, 20, 30, 50 | From 40 to 400 | 1,000 |
Langan et al. [45] | CA, MP, DL, CA2, DL2, HM, SJ, SJ(CA), REML | 0.5 | From 0 to 2.44 | 2, 3, 5, 10, 20, 30, 50, 100 | 40, 220, 400, 1520, 3000 | 5,000 |
Boedeker and Henson [30] | CA, CA2, DL, DLp, DL2, HM, HSiv, SJ, MBH, PM, ML, and REML, FBmean, FBmedian, FBmode, RB, RBp, BM | 0.5 | 0, 0.01, 0.025, 0.05, 0.075, 0.1, 0.25, 0.5, 1 | 5, 10, 20, 40, 60, 100 | 40, 80, 120 | 1,000 |