Table 1.
Studies analyzed for effect size differences before and after control or treatment conditions
| Study (reference) | Cognitive |
Symptomatic |
||
|---|---|---|---|---|
| Control | Treatment | Control | Treatment | |
| Lin et al. (29) | – | – | 0.60 | 0.91 |
| Harch et al. (30) | – | 0.53 | – | 1.27 |
| Wolf et al. (31) | 0.98 | 1.18 | 1.25 | 1.42 |
| Boussi-Gross et al. (32) | 0.11 | 0.68 | 0.53 | 1.31 |
| Cifu et al. (11) | – | – | 0.06 | 0.38 |
| Miller et al. (12) | −0.34 | 0.23 | 0.12 | 0.41 |
| Harch et al. (33) | – | 0.54 | – | 1.10 |
| Tal et al. (34) | – | 0.99 | – | – |
| Weaver et al. (35) | −0.02 | 0.30 | −0.43 | 0.14 |
| Hadanny et al. (36) | – | 0.41 | – | – |
| Mozayeni et al. (37) | – | 0.65 | – | 0.72 |
| Harch et al. (38) | 0.42 | 0.81 | 0.18 | 1.34 |
| Average | 0.23 | 0.63 | 0.33 | 0.90 |
Effect sizes are divided into either cognitive or symptomatic assessments and whether the assessment involved the control condition or the treatment condition. Scores indicate an effect size as calculated by Cohen’s d, which can be broadly interpreted as a small effect (d = 0.2), a medium effect (d = 0.5), or a large effect (d = 0.8). Dashes indicate the condition was not present in that study.