SAMPLE SIZE:

REPEATED MEASURES ANOVA

Intellectus Statistics

Smarter Tools for Enhanced Learning™

2 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with two measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 15.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with two measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 34.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with two measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 199.

3 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with three measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 12.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with three measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 28.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with three measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 163.

4 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with four measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 10.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with four measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 24.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with four measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 138.

5 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with five measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 9.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with five measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 21.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with five measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 121.

6 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with six measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 8.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with six measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 19.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with six measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 109.

7 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with seven measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 8.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with seven measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 17.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with seven measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 99.

8 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with eight measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 7.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with eight measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 16.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with eight measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 91.

9 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with nine measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 7.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with nine measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 15.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with nine measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 85.

10 Dependent Variables

Large Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with ten measurements, a power of 0.80, an alpha level of 0.05, and a large effect size (f= .40) (Faul et al., 2013), the required sample size is 6.

Medium Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with ten measurements, a power of 0.80, an alpha level of 0.05, and a medium effect size (f= .25) (Faul et al., 2013), the required sample size is 14.

Small Effect Size

Power analysis was conducted in G*Power.  Running a power analysis on a repeated measures ANOVA with ten measurements, a power of 0.80, an alpha level of 0.05, and a small effect size (f= .10) (Faul et al., 2013), the required sample size is 80.

Reference

Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2013). G*Power Version 3.1.7 [computer software]. Uiversität Kiel, Germany. Retrieved from http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/download-and-register


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