ci.etasqr: Confidence interval for eta-squared

In statpsych: Statistical Methods for Psychologists

Confidence interval for eta-squared

Description

Computes a confidence interval for a population eta-squared, partial eta-squared, or generalized eta-squared in a fixed-factor between-subjects design. An approximate bias adjusted estimate is computed, and an approximate standard error is recovered from the confidence interval.

For more details, see Section 3.7 of Bonett (2021, Volume 1)

Usage

ci.etasqr(alpha, etasqr, df1, df2)

Arguments

alpha	alpha value for 1-alpha confidence
etasqr	estimated eta-squared
df1	degrees of freedom for effect
df2	error degrees of freedom

Value

Returns a 1-row matrix. The columns are:

• Eta-squared - eta-squared (from input)

• adj Eta-squared - bias adjusted eta-squared estimate

• SE - recovered standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Bonett2021statpsych

Examples

ci.etasqr(.05, .15, 2, 57)

# Should return:
# Eta-squared  adj Eta-squared       SE      LL      UL
#        0.15           0.1202  0.07414  0.0102  0.3008
 

statpsych documentation built on Jan. 13, 2026, 1:07 a.m.