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message: 'To cite package "FAfA" in publications use:'
type: software
license: MIT
title: 'FAfA: Factor Analysis for All'
version: '0.5'
doi: 10.32614/CRAN.package.FAfA
abstract: 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. The application leverages established R packages such as 'lavaan' and
  'psych' to perform these analyses, offering an accessible platform for researchers
  and students. Results are presented in user-friendly tables and plots, with options
  for downloading outputs.
authors:
- family-names: KILIC
  given-names: Abdullah Faruk
  email: afarukkilic@trakya.edu.tr
- family-names: Caliskan
  given-names: Ahmet
  email: ahmetcaliskan@trakya.edu.tr
repository: https://afarukkilic.r-universe.dev
repository-code: https://github.com/AFarukKILIC/FAfA
commit: ed2657dcbd81f95c68d659a7b099a39d7e1197ac
url: https://github.com/AFarukKILIC/FAfA
date-released: '2025-12-12'
contact:
- family-names: KILIC
  given-names: Abdullah Faruk
  email: afarukkilic@trakya.edu.tr