Process / pipelineScale development
量表开发中的因子分析
探索性因子分析（EFA）是一种统计方法，用于揭示一组项目或变量的潜在维度结构。EFA由Louis Thurstone在20世纪中期开创，通过识别相互关联的项目群组来识别被测量构念的潜在维度，广泛用于心理测量量表的开发和验证。该方法将项目集简化为数量更少、更易解释的因子。
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来源
- Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557
- Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272-299. DOI: 10.1037/1082-989X.4.3.272 ↗
- DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). Thousand Oaks, CA: Sage Publications. ISBN: 9781506330174
如何引用本页
ScholarGate. (2026, June 3). Exploratory Factor Analysis Method for Psychometric Scale Construction and Validation. ScholarGate. https://scholargate.app/zh/psychometrics/factor-analysis-scale
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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