getOmega: A function that scripts and fits a CFA model and returns...

In jsakaluk/psyscores: scripty: Automated Syntax Generation of Measurement Models

Description

This function takes a named list of indicator variable names and uses fitMultiMod to either script and fit a unidimensional or multidimensional CFA model. It then runs and returns output from semTools::reliability() focusing on omega reliability. Function by Steph Gauvin

Usage

getOmega(df, vars, categ = FALSE)

Arguments

df	the data frame that includes the to-be analyzed indicators
vars	a named list of one or more character vectors of indicator names
categ	an optional logical (defaults to FALSE) for whether indicators are categorical (in which case, ordered ULSMVS estimation is used, otherwise "MLR" is used)

Examples

df <- psych::bfi

vars <- list(agree = c("A1","A2","A3","A4","A5"),
open = c("O1", "O2", "O3", "O4", "O5"),
neuro = c("N1", "N2", "N3", "N4", "N5"))

relout <- getOmega(df, vars)

jsakaluk/psyscores documentation built on Dec. 16, 2021, 6:50 p.m.