EtaSq: (Partial) Eta Squared

In BaylorEdPsych: R Package for Baylor University Educational Psychology Quantitative Courses

Description

Returns eta squared and partial eta squared values for aov objects

Usage

EtaSq(x)

Arguments

x	Analysis of variance (aov) object

Value

Eta^2	η^2 value (SS Effect/SS Total)
Partial Eta^2	Partial η^2 value (SS Effect/SS Residual)

Note

η^2 overestimates the variance explained in the population (i.e., it is a biased estimator), but as the sample size gets larger the amount of bias gets smaller. Grissom and Kim (2012, p. 182–183) suggest alternative estimators.

Author(s)

A. Alexander Beaujean

References

Grissom, R. J. & Kim, J. J. (2012). Effect sizes for research: Univariate and multivariate applications (2nd ed.). New York: Routledge

See Also

aov

Examples

data(MLBOffense2011)
groupRBI<-aov(RBI~Tm, data=MLBOffense2011, subset=c(Tm=="ARI" | Tm=="TOT" | Tm=="SFG"))
EtaSq(groupRBI)

Example output

                  Eta^2 Partial Eta^2
Tm          0.007960396   0.007960396

BaylorEdPsych documentation built on May 1, 2019, 8:21 p.m.