omegaSEM: Calculate multilevel omega reliability

In JWiley/multilevelTools: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

Calculate multilevel omega reliability

Description

This function uses multilevel structural equation modelling to calculate between and within reliability using coefficient omega.

Usage

omegaSEM(items, id, data, savemodel = FALSE)

Arguments

items	A character vector giving the variables that map to the items in the scale. Note that these should be reverse scored prior to running this function.
id	A character string giving the name of the variable that indicates which rows of the dataset belong to the same person or group for the multilevel analysis.
data	A data table or data frame to be used for analysis.
savemodel	A logical value indicating whether the underlying model should be saved and returned. Defaults to FALSE.

Value

a list with two elements, the first, “Results” contains the estimates for coefficient omega at the within and between level. The next element, “Fit” contains the entire fitted model from lavaan, if savemodel = TRUE.

References

Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014) <doi:10.1037/a0032138> "Reliability estimation in a multilevel confirmatory factor analysis framework"

Examples

  data(aces_daily, package = "JWileymisc")
  omegaSEM(
    items = c("COPEPrb", "COPEPrc", "COPEExp"),
    id = "UserID",
    data = aces_daily,
    savemodel = FALSE)

JWiley/multilevelTools documentation built on April 1, 2024, 9:56 p.m.