首页|Identifying the best common factor model via exploratory eactor analysis
Identifying the best common factor model via exploratory eactor analysis
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万方数据
维普
Currently,there is no solid criterion for judging the quality of the estimators in factor analysis.This paper presents a new evaluation method for exploratory factor analysis that pinpoints an appropriate number of factors along with the best method for factor extraction.The proposed technique consists of two steps:testing the normality of the residuals from the fitted model via the Shapiro-Wilk test and using an empirical quantified index to judge the quality of the factor model.Examples are presented to demonstrate how the method is implemented and to verify its effectiveness.
factor analysisShapiro-Wilknormalityresiduals
HE Bao-hua、TANG Rui、TAGN Qi-yi
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School of Big Data,Fuzhou University of International Studies and Trade,Fuzhou 350202,China
School of Mathematics,Sun Yat-Sen University,Guangzhou 510275,China
Department of Computer Science,University of Bath,UK
Institute of Insect Science,Zhejiang University,Hangzhou 310058,China
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National Basic Research Program of ChinaNational Natural Science Foundation of China
万方数据
维普
