Confidence intervals for Omega Squared
confIntOmegaSq(var1, var2, conf.level = 0.95)
- var1, var2
- The two variables: one should be a factor (or will be made a factor), the other should have at least interval level of measurement. If none of the variables is a factor, the function will look for the variable with the least unique values and change it into a factor.
- Level of confidence for the confidence interval.
confIntOmegaSqobject is returned, with as elements:
Formula 16 in Steiger (2004) is used for the conversion in
Steiger, J. H. (2004). Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. Psychological Methods, 9(2), 164-82. https://doi.org/10.1037/1082-989X.9.2.164