Perugini, M., et al. (2018). A Practical Primer To Power Analysis for Simple Experimental Designs. International Review of Social Psychology, 31(1): 20, 1–23, DOI: https://doi.org/10.5334/irsp.181
3x2 Mixed ANOVA (3 between x 2 within)
Factors: SES origin (poor-middle-rich) x Time (pre-post vignette). Six groups.
G*Power settings:
| Cohen’s f | Total Sample Size |
|---|---|
| 0.25 | 54 |
| 0.20 | 84 |
| 0.15 | 144 |
| 0.10 | 321 |
| Cohen’s f | Total Sample Size |
|---|---|
| 0.25 | 48 |
| 0.20 | 72 |
| 0.15 | 126 |
| 0.10 | 279 |
| Cohen’s f | Total Sample Size |
|---|---|
| 0.25 | 42 |
| 0.20 | 66 |
| 0.15 | 111 |
| 0.10 | 246 |
Using https://schoemanna.shinyapps.io/mc_power_med/ Schoemann’s online tool for a Monte Carlo power analysis with 20,000 samples for a simple mediation model. Since our model involves multicategorical mediation with three groups in the antecedent variable, we multiply the sample size by 1.5 .
Input parameters:
| Power | Sample size (2 groups) | Sample size (3 groups) |
|---|---|---|
| 0.80 | 195 | 293 |
| 0.85 | 215 | 323 |
| 0.90 | 240 | 360 |
| 0.95 | 280 | 420 |
| Power | Sample size (2 groups) | Sample size (3 groups) |
|---|---|---|
| 0.80 | 125 | 188 |
| 0.85 | 135 | 203 |
| 0.90 | 145 | 218 |
| 0.95 | 165 | 248 |
Based on prior research and power analyses, we aim to collect usable data from 287 participants. To account for possible exclusions due to incorrect responses to an attention-check question, we will add approximately 5% to this number, resulting in a target of 300 participants.