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首页> 外文期刊>Educational and Psychological Measurement >Impact of Outliers Arising From Unintended and Unknowingly Included Subpopulations on the Decisions About the Number of Factors in Exploratory Factor Analysis
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Impact of Outliers Arising From Unintended and Unknowingly Included Subpopulations on the Decisions About the Number of Factors in Exploratory Factor Analysis

机译：意外和未知的子群体引起的异常值对探索性因素分析中的因素数目决定的影响

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摘要

There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included subpopulation affected the decisions about the number of factors to retain using four commonly used methods separately. The results showed that all the decision methods could provide biased results and the number of factors could be inflated, deflated, or remain the same depending on the decision methods used and outlier conditions. The findings also revealed that symmetric outliers did not affect the three principal component analysis-based methods but affected chi-square (ML) sequential tests. Finally, sample size did not play a role in the effect of outliers.
机译：缺乏关于离群值对探索性因素分析中要保留的因素数量的决定的影响的研究，特别是对于意外的和不知不觉中包含的亚群引起的离群值。本研究的目的是调查来自意外和不知不觉中包含的亚群的离群值如何分别使用四种常用方法影响保留因子数量的决定。结果表明，所有决策方法都可能提供有偏差的结果，并且根据所使用的决策方法和异常条件，因素的数量可以膨胀，缩小或保持不变。研究结果还表明，对称异常值不会影响基于三个主成分分析的方法，但会影响卡方（ML）顺序测试。最后，样本量对异常值的影响不起作用。

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