globalMIH: Test for measurement invariance for Higher-Order Factor...

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

Test for measurement invariance for Higher-Order Factor models

Description

Computes configural, multiple metric, and multiple scalar invariance models and compares them.

Usage

globalMIH(
  model = model,
  ...,
  chi.sq = FALSE,
  omit = "",
  what = c("cfi", "tli", "rmsea", "srmr", "chisq"),
  partial = NULL,
  more = NULL
)

Arguments

model	lavaan syntax model definition. Keep it simple as it will be appended by the function. Please use one of the loadings to identify the model at each factor order.
...	Data, group, and all the other eligible arguments of cfa function.
chi.sq	Logical, if chi-square should be reported.
omit	Currently defunct. Character (vector). Which model should be omitted. Possible values "configural", "metric", "scalar".
what	Character (vector) of fit measures to report (see fitMeasures
partial	List of parameters to release constraints, see 'group.partial' of cfa

Details

For convenience, does not follow Rudnev et al. (2018) but instead the following series of constraints:

1. Configural All loadings are free

2. Metric-1 Loadings for the first-order factors are constrained to equality, first-order intercepts are free, the other means/intercepts are fixed to 0.

3. Metric-2, 3 etc. Applies the factor loading equality constraints to second-, third-, etc order factors.

4. Scalar-1 Constrains item intercepts to equality, while freely estimating the first-order factor means/intercepts.

5. Scalar-2, 3, etc. Sets the means/intercepts of first-order, second-order, etc. factors free while fixing to 0 all the other means/intercepts (except for the lowest level item intercepts)

MaksimRudnev/MIE.package documentation built on Nov. 3, 2024, 3:17 p.m.