ccpsyc (version 0.2.6)

equival: One-step equivalence testing The function allows for a simple one step test of configural, metric, and scalar equivalence between multiple groups.

Description

One-step equivalence testing The function allows for a simple one step test of configural, metric, and scalar equivalence between multiple groups.

Usage

equival(x, dat, group, standart_lv = TRUE, orthog = TRUE, estim = "MLM")

Arguments

x

CFA model identical to models provided to lavaan.

dat

A data frame or tibble containing the raw data for the specified model.

group

A character string that indicates the column of dat that contains the grouping variable. e.g "country"

standart_lv

A boolean that indicates whether the latent variables should be standardised.

orthog

A boolean that indicates whether the latent variables should be orthogonal.

estim

A string indicating the estimator to be used MLM for complete data and MLR for incomplete data. Defaults to MLM

Value

Returns a data frame with the fit indices for each model and delta values comparing the different levels of equivalence. For a step by step interpretation see.

Examples

# NOT RUN {
model <- "voice =~ voice1m + voice2m + voice3m
          help =~ help1m + help2m + help3m"
equival(x = model, dat = example, group = "country")
# }