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Post-Hoc Power Analysis for Underpowered Study
Diagnose whether a completed study with p=0.08 was underpowered by calculating achieved power from sample sizes and means, with recommendations for reporting and follow-up.
Input
What you provide to the skill
Completed study with control n=25 (M=72, SD=8) vs treatment n=23 (M=75, SD=9), p=0.08. Was this underpowered? Calculate achieved power.
Output
What the skill generates for you
POST-HOC POWER ANALYSIS
Your Study:
- Control: n=25, M=72, SD=8
- Treatment: n=23, M=75, SD=9
- P-value: 0.08 (not statistically significant)
- Effect size: Cohen’s d = 0.35 (small-to-medium)
RESULT: Your study was SEVERELY UNDERPOWERED
Achieved Power: 22.1%
- You had only a 22% chance of detecting this effect
- Standard threshold is 80%
- With 48 total participants, you were underpowered by nearly 6x
Required for 80% power: 130 per group (260 total)
What This Means:
Your p=0.08 result is inconclusive. The 3-point difference between groups (75 vs 72) represents a small-to-medium effect that would require 130 participants per condition to reliably detect. With only ~24 per group, you had less than 1-in-4 odds of finding a significant result even if the true effect exists.
RECOMMENDATIONS:
- Report as pilot study - Frame this as preliminary/exploratory research with promising but inconclusive findings
- Design properly powered follow-up - Recruit 130+ per group for definitive test
- DO NOT p-hack - Resist temptation to add a few more participants hoping to cross p<0.05
- Focus on effect size - Report the confidence interval around the 3-point difference rather than fixating on p-value
The Bottom Line: Yes, this study was underpowered. The marginally non-significant result (p=0.08) combined with low power (22%) means you cannot draw meaningful conclusions about whether the treatment works.
About This Skill
Calculate required sample sizes and statistical power for research studies and A/B tests. Supports t-tests, ANOVA, regression, proportions, and correlations with sensitivity analysis and plain-language explanations.
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