方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 探索性因子分析（EFA）× | 克朗巴赫α系数（信度分析）× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | — | 1951 |
| 提出者≠ | — | Lee J. Cronbach |
| 类型≠ | Latent variable / dimension reduction | Reliability / internal consistency coefficient |
| 开创性文献≠ | 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 ↗ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ |
| 别名≠ | common factor analysis, açımlayıcı faktör analizi, factor analysis | coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha) |
| 相关 | 4 | 4 |
| 摘要≠ | 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. | Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research. |
| ScholarGate数据集 ↗ |
|
|