Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is..to collect, in one article, information that will allow researchers and practitioners to..understand the various choices available through popular software packages, and to make..decisions about â€œbest practicesâ€ in exploratory factor analysis. In particular, this paper..provides practical information on making decisions regarding (a) extraction, (b) rotation, (c)..the number of factors to interpret, and (d) sample size. Accessed 80,328 times on https://pareonline.net from July 15, 2005 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
Costello, Anna B. and Osborne, Jason
"Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis,"
Practical Assessment, Research, and Evaluation: Vol. 10
, Article 7.
Available at: https://scholarworks.umass.edu/pare/vol10/iss1/7