incrementalFit: Run pairwise models and compute decrease in fit

In MaksimRudnev/MIE.package: Measurement Invariance Explorer (MIE)

Run pairwise models and compute decrease in fit

Description

Runs two MGCFA models for each possible pair of groups and computes change in fit.

Usage

incrementalFit(..., level = "metric")

Arguments

...

The arguments passed to pairwiseFit. Required arguments are 'model', 'data', and 'group'.

level

Character. A model set to be computed. The function will compute a decrease in fit between two models: metric (default) between configural and metric models. scalar between metric and scalar models. at.once between configural and scalar models. intercepts.first between configural and model with equal intercepts/thresholds, but free loadings (Wu & Estabrook, 2017's step one). Appropriate when all the indicators are ordlinal. intercepts.scalar between a model with equal intercepts/thresholds, but free loadings and a full scalar model (Wu & Estabrook, 2017's step two). Appropriate when all the indicators are ordlinal.

Value

Returns a list with detailed output on every available fit index, and a large matrix used for plotting with plotDistances

MaksimRudnev/MIE.package documentation built on March 5, 2024, 1:24 p.m.