Factor Analysis for All
About Server Module
Assumptions Server Logic (Modern)
Confirmatory Factor Analysis (CFA) Server Module
Confirmatory Factor Analysis (CFA) UI Module
Data Selection Server Logic (Modern)
EFA Analysis Server Module
EFA Factor Retention Server Module
EFA Reporting Server Module
Measurement Invariance Server Module
Item Weighting Server Module
ItemRest Analysis Server Module
ItemRest Analysis UI Module
Missing Value Handling Server Module
Missing Value Handling UI Module
Default Value Operator
Reliability Analysis Server Module
Run the Shiny Application
Wrangling Server Modules (Modern)
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.