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.

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

Examples

ci.etasqr(.05, .241, 3, 116)

# Should return:
# Eta-squared  adj Eta-squared         SE        LL        UL
#       0.241        0.2213707 0.06258283 0.1040229 0.3493431
 

statpsych documentation built on Sept. 11, 2024, 7:42 p.m.