方法对比
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| 简明信度分析× | 探索性因子分析（EFA）× | |
|---|---|---|
| 领域≠ | 心理测量学 | 统计学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1990s–2000s | — |
| 提出者≠ | Conventional practice; codified notably by Smith, McCarthy & Anderson (2000) and Stanton et al. (2002) | — |
| 类型≠ | Scale development / psychometric evaluation | Latent variable / dimension reduction |
| 开创性文献≠ | Stanton, J. M., Sinar, E. F., Balzer, W. K. & Smith, P. C. (2002). Issues and strategies for reducing the length of self-report scales. Personnel Psychology, 55(1), 167–194. DOI ↗ | 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 ↗ |
| 别名≠ | abbreviated scale reliability, short-form validation, scale shortening, item reduction reliability | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| 相关≠ | 6 | 4 |
| 摘要≠ | Short-form reliability analysis evaluates whether an abbreviated version of a psychological scale maintains acceptable internal consistency, validity, and structural integrity after items are removed. It is used in survey and assessment research to create briefer instruments that reduce respondent burden without sacrificing measurement quality. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGate数据集 ↗ |
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