Technical Brief
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Year 2024, Volume: 15 Issue: 4, 446 - 451, 31.12.2024
https://doi.org/10.21031/epod.1555805

Abstract

References

  • zaöbxjöaX SHAJHBLA

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

Year 2024, Volume: 15 Issue: 4, 446 - 451, 31.12.2024
https://doi.org/10.21031/epod.1555805

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.

References

  • zaöbxjöaX SHAJHBLA
There are 1 citations in total.

Details

Primary Language English
Subjects Statistical Analysis Methods, Modelling
Journal Section Articles
Authors

Abdullah Faruk Kılıç 0000-0003-3129-1763

Publication Date December 31, 2024
Submission Date September 25, 2024
Acceptance Date December 17, 2024
Published in Issue Year 2024 Volume: 15 Issue: 4

Cite

APA Kılıç, A. F. (2024). FAfA: Factor Analysis for All An R Package to Conduct Factor Analysis with RShiny Application. Journal of Measurement and Evaluation in Education and Psychology, 15(4), 446-451. https://doi.org/10.21031/epod.1555805