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. 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.
