Package: FAfA 1.4

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, internal split-sample EFA replication analysis, 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. Analysis projects can be saved and restored, and reproducible R, HTML, and PDF workflow reports can be generated.

Authors:Abdullah Faruk KILIC [aut, cre, cph], Ahmet Caliskan [aut, cph], Melissa G. Wolf [ctb, cph], Daniel McNeish [ctb, cph], Brian P. O'Connor [ctb, cph]