Investigating the role of orthogonal and non–orthogonal rotation in multivariate factor analysis, in regard to the repeatability of the extracted factors: A simulation study

Dimitris Panaretos, George Tzavelas, Malvina Vamvakari, Demosthenes Panagiotakos

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Factor analysis (FA) is the most commonly used pattern recognition methodology in social and health research. A technique that may help to better retrieve true information from FA is the rotation of the information axes. The main goal is to test the reliability of the results derived through FA and to reveal the best rotation method under various scenarios. Based on the results of the simulations, it was observed that when applying non-orthogonal rotation, the results were more repeatable as compared to the orthogonal rotation, and, when no rotation was applied.

Original languageEnglish
Pages (from-to)2165-2176
Number of pages12
JournalCommunications in Statistics: Simulation and Computation
Volume48
Issue number7
DOIs
Publication statusPublished - 9 Aug 2019
Externally publishedYes

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