Factor Analysis using R
- A. Alexander Beaujean
Abstract
R (R Development Core Team, 2011) is a very powerful tool to analyze data, that is gaining in popularity due to its costs (its free) and flexibility (its open-source). This article gives a general introduction to using R (i.e., loading the program, using functions, importing data). Then, using data from Canivez, Konold, Collins, and Wilson (2009), this article walks the user through how to use the program to conduct factor analysis, from both an exploratory and confirmatory approach. Accessed 36,214 times on https://pareonline.net from February 25, 2013 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
Keywords: Research Methodology, Statistical Analysis
How to Cite:
Beaujean, A. A., (2013) “Factor Analysis using R”, Practical Assessment, Research, and Evaluation 18(1): 4. doi: https://doi.org/10.7275/z8wr-4j42
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