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.
Primary Language | English |
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Subjects | Statistical Analysis Methods, Modelling |
Journal Section | Articles |
Authors | |
Publication Date | December 31, 2024 |
Submission Date | September 25, 2024 |
Acceptance Date | December 17, 2024 |
Published in Issue | Year 2024 Volume: 15 Issue: 4 |