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Assumption #4: You should have an adequate sample size. Although the larger your sample size, the better; for MANOVA, you need to have more cases in each

Table Sample Size Needed in Three-Group MANOVA for Power = .70, .80 and .90 for ? = .05 and ? = .01 ? = .05 ? = .01. Power = .70 .80 .90 .70 .80 .90. Number
Power analysis for a MANOVA with three levels and four dependent variables was conducted in G-POWER to determine a sufficient sample size using an alpha
Based on the aforementioned assumptions, the desired sample size is 78. Power analysis for a MANOVA with six levels and three dependent variables was conducted in GPower to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, and a small effect size (f = 0.10) (Faul et al., 2013).
Oct 31, 2014 Any method will be "sensitive to a small number of cases", meaning that a small study has lower power to detect features of interest than a
Based on the aforementioned assumptions, the desired sample size is 20. Power analysis for a MANOVA with two levels and three dependent variables was conducted in GPower to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, and a medium effect size (f = 0.25) (Faul et al., 2013).
Large Effect Size. Power analysis for a MANOVA with five levels and three dependent variables was conducted in G*Power to determine a sufficient sample size
I'm trying to determine if my sample size for a MANOVA is acceptable. I've read in several textbooks that the you need to 'have more cases in
Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure. John Castelloe, SAS Institute Inc. ABSTRACT. Power analysis

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March 2018