multiple regression 5 predictors

Multiple Regression: 5 predictors - 12-23-2010 by James Lani - Statistics Solutions - http://www.statisticssolutions.com...

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Multiple Regression: 5 predictors - 12-23-2010 by James Lani - Statistics Solutions - http://www.statisticssolutions.com

Multiple Regression: 5 predictors by James Lani https://www.statisticssolutions.com/multiple-regression-5-predictors/ Click here for to get help with your Thesis or Dissertation. Click here for FREE Thesis and Dissertation resources (templates, samples, calculators).

Large Effect Size Power analysis for a multiple regression with five predictors was conducted in G*Power to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, and a large effect size (f2 = 0.35) (Faul et al., 2013). Based on the aforementioned assumptions, the desired sample size is 43. Medium Effect Size Power analysis for a multiple regression with five predictors was conducted in G*Power to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, and a medium effect size (f2 = 0.15) (Faul et al., 2013). Based on the aforementioned assumptions, the desired sample size is 92. Small Effect Size Power analysis for a multiple regression with five predictors was conducted in G*Power to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, and a small effect size (f2 = 0.02) (Faul et al., 2013). Based on the aforementioned assumptions, the desired sample size is 647. References Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2013). G*Power Version 3.1.7 [computer software]. Uiversit├Ąt Kiel, Germany. Retrieved from http://www.psycho.uniduesseldorf.de/abteilungen/aap/gpower3/download-and-register Statistics Solutions. (2013). Sample Size Write-up [WWW Document]. Retrieved from http://www.statist icssolutions.com/resources/sample-size-calculator/multiple-regression-predictors/multipleregression-5-predictors/ _______________________________________________

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