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Hi, I try to run Mixed ANOVA with replication but with no repeats (student may go only to one class) ID- student id CL - class A1 or A2 - random effect GEN - gender - fixed effect How do I do with ezANOVA, or any other function? It seems that it expect the ID to appear more than once...

Thanks @hlsmith I understand that small/medium/large is not a science...but probably when choosing the levels there was some intention ... What option do you think is more correct option1 or option2? Thanks:)

The book says: 0.2 - small 0.5 - medium 0.8 - large I know that Cohen's interpretation is only a rule of thumb, so I'm not sure if there is a "one" answer. but what is the interpretation when d is between the values? Is d=0.3 small? or medium? Option 1 Range interpretation 0-0.2...

Thanks Staassis! When calculating the power of the F test for variances we use the ratio as an expected effect size. And yes, for equal samples, the power of ratio=0.5 or ratio=2 is equal. So I thought of max(ratio, 1/ratio) or maybe max(ratio, 1/ratio)-1 I find it nice when you use the same...

The effect size for equality of variances is Ratio=variance1/variance2 I didn't find any "common" scale for this effect size. (although you may say the ratio explains itself...) I know that these definitions are not absolute, and may depend on the specific field. Do you know of a scale for the...

Any Idea?

Thanks Jmyles, Sorry, I don't talk about a specific case but try to understand statistics. In R for example: model = lm(y~x1+x2+x3+0) should you do: vif( lm(y~x1+x2+x3+0) ) or vif (lm(y~x1+x2+x3) In: https://stats.stackexchange.com/questions/231252/high-vif-after-removing-intercept-in-r...

Yes, I know that usually, you shouldn't remove the intercept. The question is for the rare cases when you decide to remove the intercept. how to calculate the VIF? How do you interpret the results in this case? What VIF value is suspicious for multicollinearity? What VIF value is dependently...

Do you have any idea?

What is the less problematic/"common practice" way to calculate the VIF when using the no intercept model? How do you interpret the results in this case? What VIF value is suspicious for multicollinearity? What VIF value is dependently multicollinearity...

Why H0: y = epsilon, and not H0: y =b0+ epsilon? Clearly the zero Y-intercept is relevant to H1, but why also H0?

Hi, In linear regression: H1: y = b0+b1x H0 y = b0 In linear regression with no intercept: H1: y = b1x What is the null assumption? H0: y = 0 or H0: y = b0?

Thanks you Karabiner, this a very good explanation!

Wikipedia: "the confidence level represents the frequency (i.e. the proportion) of possible confidence intervals that contain the true value of the unknown population parameter" Some say the following is incorrect: The chance that the true population value is in the confidence interval is the...