mplus_dmacs: Summary of measurement nonequivalence effects

In dmacs: Measurement Nonequivalence Effect Size Calculator

Description

mplus_dmacs returns a summary of measurement non-equivalence effects given an Mplus .out file.

Usage

mplus_dmacs(fit = file.choose(), RefGroup = 1, dtype = "pooled", ...)

Arguments

fit	is an Mplus .out file of a multigroup CFA analysis. The default is to launch a window for choosing the file.
RefGroup	can be the name of the reference group (as a string), or the index of the reference group (as a number). RefGroup defaults to the first group if no value is provided. It is strongly recommended to provide the reference group as a string, since group names in data are often ordered by their appearance in the data, not alphabetically.
dtype	described the pooling of standard deviations for use in the denominator of the dmacs effect size. Possibilities are "pooled" for pooled standard deviations, or "glass" for always using the standard deviation of the reference group.
...	other parameters to be used in functions that mplus_dmacs calls, most likely stepsize for the item_dmacs and delta_mean_item functions.

Value

A list, indexed by group, of lists of measurement nonequivalence effects from Nye and Drasgow (2011), including dmacs, expected bias in the mean score by item, expected bias in the mean total score, and expected bias in the variance of the total score. Expected bias in the variance of the total score is only supplied for unidimensional models in the current version of this package

References

Nye, C. & Drasgow, F. (2011). Effect size indices for analyses of measurement equivalence: Understanding the practical importance of differences between groups. Journal of Applied Psychology, 96(5), 966-980.

dmacs documentation built on Oct. 30, 2019, 11:38 a.m.