
Statistical Power Analysis & Sample Size Calculation Report
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What you get with this Offer
I will conduct a formal statistical power analysis and calculate the required sample size for your study — using G*Power, R (pwr package), or Python (statsmodels) — covering power calculation for your specified test family, effect size justification from prior literature, sensitivity analysis showing power across a range of sample sizes, and a written power analysis report suitable for inclusion in a grant application, ethics submission, or dissertation proposal. Underpowered studies are the most common form of resource waste in quantitative research — they consume participant time and researcher budget to produce inconclusive results; overpowered studies unnecessarily expose more participants than required. The correct sample size requires a formal power analysis, not a rule-of-thumb guess.
The analysis covers test selection for your design, effect size specification with literature justification, alpha level selection, target power (typically 0.80 or 0.90), required N calculation, sensitivity plot showing achieved power across N values, and a power analysis write-up in the format required by your funder, ethics board, or institution.
Designed for researchers at the grant application or study planning stage who need a formal, documented power analysis.
The analysis covers test selection for your design, effect size specification with literature justification, alpha level selection, target power (typically 0.80 or 0.90), required N calculation, sensitivity plot showing achieved power across N values, and a power analysis write-up in the format required by your funder, ethics board, or institution.
Designed for researchers at the grant application or study planning stage who need a formal, documented power analysis.
What the Freelancer needs to start the work
Please describe your study design, the primary statistical test, your anticipated effect size or prior literature estimates, your alpha level, your target power, your statistical software preference, and the format required for the power analysis write-up.
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