https://github.com/cmerinos/facomplex

R package for identify complex structure in factor analysis output

https://github.com/cmerinos/facomplex

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R package for identify complex structure in factor analysis output

README.html

facomplex
facomplex is an R package that provides tools for
assessing factor complexity in exploratory and confirmatory factor
analysis (EFA/CFA) solutions.



Installation
You can install the development version of facomplex
from GitHub using:
# Install devtools if not already installed
install.packages("devtools")

# Then install the package from GitHub
devtools::install_github("cmerinos/facomplex", build_vignettes = TRUE)


Overview
The package includes several methods for evaluating factor
complexity:

Hofman coefficient (Hofman, 1977)
Revised Hofman coefficient
Factor Simplicity Index (FSI) (Fleming, 2003)
Bentler’s Simplicity Index (Bentler, 1977)
Loading Simplicity Index (Lorenzo-Seva, 2003)
Descriptive statistics (min, max, mean) of target and non-target
loadings
Visualization tools for complexity structures



Example
Here’s a basic example using facomplex:
library(facomplex)

# Example factor loading matrix
ex1_fl <- data.frame(
  F1 = c(0.536, 0.708, 0.600, 0.673, 0.767, 0.481, -0.177, 0.209, -0.097, -0.115, 0.047, 0.024),
  F2 = c(-0.110, 0.026, 0.076, 0.011, -0.160, 0.106, 0.668, 0.438, 0.809, 0.167, 0.128, 0.041),
  F3 = c(-0.100, 0.036, 0.086, 0.021, -0.150, 0.116, 0.678, 0.448, 0.819, 0.577, 0.738, 0.751)
)

# Run a complexity analysis function (e.g., FSI)
FSIout <- FSI(ex1_fl,  
     items_target = list(F1 = c(1, 2, 3, 4, 5, 6),
                         F2 = c(7, 8, 9),
                         F3 = c(10, 11, 12)))

# Visualize the results
plot.simplicity(
   data = FSIout$FSI_i,
   item.col = "Items",
   value.col = "FSI_i")


References

Bentler, P. M. (1977). Factor Simplicity Index and
Transformations. Psychometrika, 42(2), 277–295. https://doi.org/10.1007/BF02294054
Fleming, J. S. (1985). An index of fit for factor scales.
Educational and Psychological Measurement, 45, 725-728. https://doi.org/10.1177/0013164485454002
Fleming, J. S. (2003). Computing measures of simplicity of fit
for loadings in factor-analytically derived scales. Behavior Research
Methods, Instruments, & Computers, 35, 520–524. https://doi.org/10.3758/BF03195531
Fleming, J., S. & Merino-Soto, C. (2005). Medidas de
simplicidad y de ajuste factorial: un enfoque para la evaluación de
escalas construidas factorialmente. Revista de Psicología, 23(2),
249-266.
Hofman, R. J. (1977). Simplicity and complexity in factor
analysis. Multivariate Behavioral Research, 12(2), 149–165. https://doi.org/10.18800/psico.200502.002
Kaiser, H. F. (1974). An Index of Factorial Simplicity.
Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575
Lorenzo-Seva, U. (2003). A factor simplicity index. , 68(1),
49–60. https://doi.org/10.1007/BF02296652



License
This package is licensed under the GPL-3.

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