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. 2021 Apr 6;17(2):e1152. doi: 10.1002/cl2.1152

Table 4.

Subgroup analyses: Effect sizes, confidence intervals, number of studies, effect sizes, and heterogeneity measures by intervention component in single component studies

Component (single) Avg. ES 95% CI lower bound 95% CI upper bound k n N Adj. dfs τ 2 I 2 Q
CAI 0.128 0.018 0.239 12 67 10,995 7.9 0.015 37.0 17.5
Coaching −0.047 −0.878 0.783 3 4 2957 1.7 0.050 68.9 6.4
Incentives 0.046 −0.086 0.178 3 7 22,154 1.3 0.000 0.0 2.0
Medium‐group 0.091 −0.092 0.274 10 45 9219 7.4 0.044 61.0 23.1
Peer‐assisted 0.387 0.257 0.518 16 54 4208 12.6 0.023 19.8 18.7
Progress mon. 0.277 −3.085 3.638 2 4 90 1.0 0.000 0.0 1.0
Small‐group 0.375 0.304 0.446 85 538 51,445 76.7 0.084 70.6 285.4
Comprehension 0.205 −0.409 0.819 3 13 1504 1.7 0.021 23.6 2.6
Decoding 0.305 0.145 0.465 25 111 6653 22.9 0.148 66.5 71.6
Number sense 0.510 0.143 0.877 6 13 2296 4.5 0.110 82.1 27.9
Operations 0.165 −0.149 0.479 3 10 3653 1.7 0.049 54.5 4.4

Note: The number of studies contributing to the average effect size is denoted k, the number of effect sizes is denoted n, and the number of student observations is denoted N. N is calculated by taking the sample size for each effect size included in an estimation, which is equal to the number of students in the intervention and control group for which the effect size is calculated, and summing the sample sizes over effect sizes.

Abbreviations: CAI, computer‐assisted instruction; CI, confidence interval; ES, effect sizes.