equ_anova: Equivalence Test for ANOVA Results

In Lakens/TOSTER: Two One-Sided Tests (TOST) Equivalence Testing

Equivalence Test for ANOVA Results

Description

Performs equivalence test on the partial eta-squared (pes) value from ANOVA results.

Usage

equ_anova(object, eqbound, MET = FALSE, alpha = 0.05)

Arguments

object	an object of returned by either Anova, aov, or afex_aov
eqbound	Equivalence bound for the partial eta-squared.
MET	logical indicator to perform a minimal effect test rather than equivalence test (default is FALSE).
alpha	alpha used for the test (e.g., 0.05).

Details

For details on the calculations in this function see vignette("the_ftestTOSTER").

Value

Returns a data frame containing the ANOVA results with equivalence tests added.

The following abbreviations are used in the table:

• effect: name of the effect.

• df1: Degrees of Freedom in the numerator (i.e. DF effect).

• df2: Degrees of Freedom in the denominator (i.e., DF error).

• F: F-value.

• p.null: p-value (probability of the data given the null hypothesis).

• pes: partial Eta-Squared measure of effect size.

• eqbound: equivalence bound.

• p.equ: p-value (probability of the data given the equivalence hypothesis)

References

Campbell, H., & Lakens, D. (2021). Can we disregard the whole model? Omnibus non‐inferiority testing for R2 in multi‐variable linear regression and in ANOVA. British Journal of Mathematical and Statistical Psychology, 74(1), 64-89. doi: 10.1111/bmsp.12201

See Also

Other f-test: equ_ftest()

Lakens/TOSTER documentation built on April 17, 2024, 6:42 p.m.