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探索型因素分析

探索型因素分析英文exploratory factor analysisEFA)係因素分析嘅一種,指研究者冇作出任何事先假設嘅因素分析,研究者會由手上嘅數據嗰度估計因素嘅數量同每個變數條式。相對於確定型因素分析

數據科學上,探索性質嘅因素分析可以好有用[1]:p 2:呢種分析能夠減少要考慮嘅變數嘅數量—用 嘅 1 個數值總結晒嗰一大拃分數,達致用數量更少嘅概念解釋現象;探索型嘅因素分析又可以用嚟探討變數之間有咩關係,以及係好似 IQ 噉嘅理論概念嘅「內部結構」(例如係會唔會某啲變數零舍反映得到 IQ 呢?)。除此之外,呢種分析仲可以用嚟處理做統計分析不時會遇到嘅多重共線性問題。

引咗

[編輯]
  1. Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian journal of paramedicine, 8, 1-13,佢 Table 2 嗰度講到幾種「郁手行因素分析之前要做」嘅測試。
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探索型因素分析
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