About this example
When studies measure the same outcome on different scales, the standardised mean difference (Hedges’ g) puts them on a common scale. Enter the mean, SD and sample size of each arm and the effect sizes are computed for you.
Negative values favour the intervention when lower scores are better, as for depressive symptoms, so the “favours” labels are set accordingly.
The data
| Study | Mean T | SD T | N T | Mean C | SD C | N C | Exercise type |
|---|---|---|---|---|---|---|---|
| Adams 2014 | 12.1 | 5.2 | 40 | 15.3 | 5.8 | 38 | Aerobic |
| Baker 2016 | 10.4 | 6.1 | 55 | 13 | 6.4 | 57 | Aerobic |
| Chen 2018 | 14.2 | 4.9 | 32 | 15.1 | 5 | 30 | Aerobic |
| Diaz 2020 | 9.8 | 5.5 | 61 | 13.9 | 6 | 60 | Aerobic |
| Evans 2015 | 13.5 | 6.3 | 28 | 14.8 | 6.1 | 27 | Resistance |
| Fischer 2017 | 11.9 | 5.7 | 44 | 14.6 | 5.9 | 45 | Resistance |
| Garcia 2019 | 12.8 | 6 | 36 | 13.2 | 6.2 | 35 | Resistance |
Open the example, replace the data with your own, and export the figure as SVG, PDF or a 600 dpi PNG.