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Updated: Jul 25, 2025

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比较数据森林:一种新的比较数据方法来确定探索性因子分析中的因素数量

David Goretzko1,2, John Ruscio3

  • 1LMU Munich, Department of Psychology, Munich, Germany. d.goretzko@uu.nl.

Behavior research methods
|June 29, 2023
PubMed
概括

新的比较数据森林 (CDF) 方法提高了心理评估中的因素保留准确性. 当CDF和比较数据 (CD) 方法在因子数上达成一致时,它们的结果非常准确.

关键词:
将数据进行比较.探索性因素分析是一种探索性因素分析.一个因子森林.保持因子保持因子机器学习是机器学习.因素的数量 因素的数量

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