# Test of Independence: 3df

Large Effect Size

Power analysis for a test of independence with three degrees of freedom was conducted in G-POWER using an alpha of 0.05, a power of 0.80, and a large effect size (w = 0.5) (Faul et al., 2008Based on the aforementioned assumptions, the desired sample size is 44.

Medium Effect Size

Power analysis for a test of independence with three degrees of freedom was conducted in G-POWER using an alpha of 0.05, a power of 0.80, and a medium effect size (w = 0.3) (Faul et al., 2008). Based on the aforementioned assumptions, the desired sample size is 122.

Small Effect Size

Power analysis for a test of independence with three degrees of freedom was conducted in G-POWER using an alpha of 0.05, a power of 0.80, and a small effect size (w = 0.1) (Faul et al., 2008). Based on the aforementioned assumptions, the desired sample size is 1091.

References

Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2008). G*Power Version 3.1.2 [computer software]. Uiversität Kiel, Germany. Retrieved from http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/download-and-register

Statistics Solutions. (2010). Sample Size Write-up [WWW Document]. Retrieved from http://www.statisticssolutions.com/resources/sample-size-calculator/test-of-independence-degrees-of-freedom/test-of-independence-3df/