parameters (version 0.4.0)

convert_efa_to_cfa: 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 fa
convert_efa_to_cfa(model, threshold = "max", names = 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.

Value

Converted index.

Examples

# NOT RUN {
library(psych)
library(lavaan)
library(parameters)

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

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

anova(
  lavaan::cfa(model1, data = attitude),
  lavaan::cfa(model2, data = attitude)
)
# }
# NOT RUN {
# }