FAfA: Factor Analysis for All
Provides a comprehensive Shiny-based graphical user interface for conducting
a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All)
guides users through data uploading, assumption checking (descriptives,
collinearity, multivariate normality, outliers), data wrangling (variable
exclusion, data splitting), factor retention analysis (e.g., Parallel Analysis,
Hull method, EGA), Exploratory Factor Analysis (EFA) with various rotation
and extraction methods, Confirmatory Factor Analysis (CFA) for model testing,
Reliability Analysis (e.g., Cronbach's Alpha, McDonald's Omega), Measurement
Invariance testing across groups, and item weighting techniques. Results are presented in user-friendly tables and plots, with options for
downloading outputs.
| Version: |
0.3 |
| Imports: |
EFA.MRFA, EFA.dimensions, EFAtools, EGAnet, MBESS, config, dplyr, energy, ggcorrplot, golem, lavaan, mctest, moments, mvnormalTest, pastecs, psych, psychometric, semPlot, semTools, shiny, shinycssloaders, shinydashboard, sirt, stats, magrittr, haven, readxl |
| Suggests: |
knitr, rmarkdown, spelling, testthat (≥ 3.0.0) |
| Published: |
2025-05-23 |
| DOI: |
10.32614/CRAN.package.FAfA |
| Author: |
Abdullah Faruk KILIC [aut, cre] |
| Maintainer: |
Abdullah Faruk KILIC <abdullahfarukkilic at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
NEWS |
| CRAN checks: |
FAfA results |
Documentation:
Downloads:
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