FAfA: Factor Analysis for All An R Package to Conduct Factor Analysis with RShiny Application

Abstract

This paper presents a presentation of FAfA (the R Shiny application), which was specifically developed for performing complete factor analysis processes. These procedures include data wrangling, assumption checks for exploratory and confirmatory factor analysis, reliability analysis, exploratory graphic analysis, and item weighting. The objective of the paper is to provide users with clear instructions on how to effectively use the FAfA package, therefore guaranteeing precise and consistent outcomes in their research. The FAfA application's primary goal is to integrate EFA and CFA into a single software. In addition, the FAfA application has the capability to do reliability analysis and item weighing.

Keywords

• factor analysis
• reliability analysis
• item weighting
• exploratory graph analysis

References

1. zaöbxjöaX SHAJHBLA