Reputation: 47
I have something in between a statistics and R question. I ran a repeated-measures ANOVA with the R package ezANOVA. This package automatically provides eta-squared effect sizes. Furthermore, I'd like to report 90% Confidence Intervals and found a great way to calculate these here: http://daniellakens.blogspot.de/2014/06/calculating-confidence-intervals-for.html
However, some of my effect sizes appear to be outside of these confidence intervals, e.g.:
F(2, 730) = 20.20, p < .001, eta-squared = .00, 90% CI [.03, .08],
F(2, 730) = 45.46, p < .001, eta-squared = .05, 90% CI [.08, .15]
These are effect sizes of within-subjects factors (see the second way in Laken's blog post).
Here's my question: Is this statistically possible? And if not, where could be the problem?
Thanks and best, Mathias
Upvotes: 0
Views: 466
Reputation: 47
The answer is that the ezANOVA calculates the generalized eta squared, while the confidence intervals were calculated for the partial eta squared.
Upvotes: 1