{
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  "Package": "FAfA",
  "Title": "Factor Analysis for All",
  "Version": "0.5",
  "Date": "2025-12-12",
  "Authors@R": "c(\nperson(\"Abdullah Faruk\", \"KILIC\", , \"afarukkilic@trakya.edu.tr\", role = c(\"aut\", \"cre\")),\nperson(\"Ahmet\", \"Caliskan\", , \"ahmetcaliskan@trakya.edu.tr\", role = \"aut\")\n)",
  "Description": "Provides a comprehensive Shiny-based graphical user\ninterface for conducting a wide range of factor analysis\nprocedures. 'FAfA' (Factor Analysis for All) guides users\nthrough data uploading, assumption checking (descriptives,\ncollinearity, multivariate normality, outliers), data wrangling\n(variable exclusion, data splitting), factor retention analysis\n(e.g., Parallel Analysis, Hull method, EGA), Exploratory Factor\nAnalysis (EFA) with various rotation and extraction methods,\nConfirmatory Factor Analysis (CFA) for model testing,\nReliability Analysis (e.g., Cronbach's Alpha, McDonald's\nOmega), Measurement Invariance testing across groups, and item\nweighting techniques. The application leverages established R\npackages such as 'lavaan' and 'psych' to perform these\nanalyses, offering an accessible platform for researchers and\nstudents. Results are presented in user-friendly tables and\nplots, with options for downloading outputs.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/AFarukKILIC/FAfA",
  "BugReports": "https://github.com/AFarukKILIC/FAfA/issues",
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  "Repository": "https://afarukkilic.r-universe.dev",
  "Date/Publication": "2026-05-04 18:26:24 UTC",
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