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Investigating the Role of Rotation in Factor Analysis, in Regard to the Repeatability of the Extracted Factors: a Simulation Study based on the 2- Parameter Weibull Distribution |
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PP: 453-459 |
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doi:10.18576/jsap/140308
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Author(s) |
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Dimitris Panaretos,
George Tzavelas,
Malvina Vamvakari,
Demosthenes Panagiotakos,
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Abstract |
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| 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 on skewed distributions 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 and particularly the promax method, the results were more repeatable as compared to the orthogonal rotation, or, when no rotation was applied.
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