The Sample Size/Power Analysis Calculator with write-up is a tool for anyone struggling with power analysis. Simply identify the test to be conducted and the degrees of freedom where applicable (explained in the document), and the sample size/power analysis calculator will calculate your sample size for a power of .80 of an alpha of .05 for small, medium and large effect sizes. The sample size/power analysis calculator then presents the write-up with references which can easily be integrated in your dissertation document.
If you do not know your analysis, see our “Select Analysis” tool. If you need additional assistance calculating sample size/power analysis, contact us for a free 30-minute consultation.
We’re excited to offer you a power analysis for $29.00. When you’re ready, just click on the test your conducting, sign-up, and get your sample size write-up with references in just minutes.
Sample:
Mann-Whitney U: 1-tailed:
Large Effect Size: Power analysis for a Mann-Whitney U test was conducted in G-POWER to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, a large effect size (d = 0.8), and one tail (Faul et al., 2008). There will be an equal allocation of participants into each group. Based on the aforementioned assumptions, the desired sample size is 42.
Medium Effect Size: Power analysis for a Mann-Whitney U test was conducted in G-POWER to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, a medium effect size (d = 0.5), and one tail (Faul et al., 2008). There will be an equal allocation of participants into each group. Based on the aforementioned assumptions, the desired sample size is 106.
Small Effect Size: Power analysis for a Mann-Whitney U test was conducted in G-POWER to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, a small effect size (d = 0.2), and one tail (Faul et al., 2008). There will be an equal allocation of participants into each group. Based on the aforementioned assumptions, the desired sample size is 650.
References: Statistics Solutions. (2010). Sample Size Write-up [WWW Document]. Retrieved from http://www.statisticssolutions.com/resources/sample-size-calculator/mann-whitney-u-1-tailed/
Sample Size /Power Analysis Write-up for the Tests Below:
- ANCOVA (fixed effects, main effects, and interactions)
- ANOVA (fixed effects, omnibus, one-way)
- Bivariate (Pearson) Correlation (1-tailed)
- Bivariate (Pearson) Correlation (2-tailed)
- Canonical Analysis (1-tailed)
- Canonical Analysis (2-tailed)
- Chi-Square Analysis
- Dependent Sample T-Test (1-tailed)
- Dependent Sample T-Test (2-tailed)
- Discriminant Analysis
- Independent Sample T-Test (1-tailed)
- Independent Sample T-Test (2-tailed)
- Linear Regression
- Logistic Regression (1-tailed)
- Logistic Regression (2-tailed)
- MANCOVA
- MANOVA
- Multiple Regression
- One Sample T-Test (1-tailed)
- One Sample T-Test (2-tailed)
- Partial Correlation (1-tailed)
- Partial Correlation (2-tailed)
- Point Biserial Correlation 1-tailed)
- Point Biserial Correlation 2-tailed)
- Spearman Correlation (1-tailed)
- Spearman Correlation (2-tailed)
- Test of Independence
- Wilcoxon Signed Rank (matched pairs or one sample case) (1-tailed)
- Wilcoxon Signed Rank (matched pairs or one sample case) (2-tailed)
- Mann-Whitney U Test (1-tailed)
- Mann-Whitney U Test (2-tailed)
