convert_efa_to_cfa: Conversion between EFA results and CFA structure

In parameters: Processing of Model Parameters

Conversion between EFA results and CFA structure

Description

Enables a conversion between Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) lavaan-ready structure.

Usage

convert_efa_to_cfa(model, ...)

## S3 method for class 'fa'
convert_efa_to_cfa(
  model,
  threshold = "max",
  names = NULL,
  max_per_dimension = NULL,
  ...
)

efa_to_cfa(model, ...)

Arguments

model	An EFA model (e.g., a psych::fa object).
...	Arguments passed to or from other methods.
threshold	A value between 0 and 1 indicates which (absolute) values from the loadings should be removed. An integer higher than 1 indicates the n strongest loadings to retain. Can also be "max", in which case it will only display the maximum loading per variable (the most simple structure).
names	Vector containing dimension names.
max_per_dimension	Maximum number of variables to keep per dimension.

Value

Converted index.

Examples

library(parameters)
data(attitude)
efa <- psych::fa(attitude, nfactors = 3)

model1 <- efa_to_cfa(efa)
model2 <- efa_to_cfa(efa, threshold = 0.3)
model3 <- efa_to_cfa(efa, max_per_dimension = 2)

suppressWarnings(anova(
  lavaan::cfa(model1, data = attitude),
  lavaan::cfa(model2, data = attitude),
  lavaan::cfa(model3, data = attitude)
))

parameters documentation built on Nov. 2, 2023, 6:13 p.m.