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| Hệ số Cronbach's Alpha mạnh mẽ× | Phân tích độ tin cậy mạnh mẽ× | |
|---|---|---|
| Lĩnh vực≠ | Trắc lượng tâm lý | Thiết kế thí nghiệm |
| Họ≠ | Latent structure | Process / pipeline |
| Năm ra đời≠ | 2002–2016 | 1980s–1990s (integration formalized in engineering literature) |
| Người khởi xướng≠ | Derived from Lee J. Cronbach (1951); robust variants formalized by Yuan & Bentler (2002) and Zhang & Yuan (2016) | Synthesized from Taguchi robust design and classical reliability theory (Kececioglu, Taguchi) |
| Loại≠ | Robust reliability coefficient | Quantitative reliability engineering method |
| Công trình gốc≠ | Yuan, K.-H., & Bentler, P. M. (2002). On robustness of the normal-theory based asymptotic distributions of three reliability coefficient estimates. Psychometrika, 67(2), 251–268. DOI ↗ | Kececioglu, D. (1991). Reliability Engineering Handbook (Vol. 1). Prentice Hall. ISBN: 978-0137720774 |
| Tên gọi khác | robust alpha, outlier-resistant Cronbach's alpha, robust internal consistency, robust coefficient alpha | RRA, reliability robustness analysis, uncertainty-aware reliability analysis, robust probabilistic reliability |
| Liên quan≠ | 3 | 4 |
| Tóm tắt≠ | Robust Cronbach's alpha adapts the classical internal consistency coefficient to data that violate the assumption of multivariate normality or contain influential outliers. By replacing the conventional sample covariance matrix with a robust counterpart, it yields a reliability estimate that is resistant to distortion by non-normal response distributions, contaminated observations, or small violations of model assumptions common in applied psychometric work. | Robust reliability analysis is an engineering method that combines classical reliability estimation with robustness principles to quantify and improve system dependability in the presence of parameter uncertainty and variability. Rather than assuming fixed input values, it propagates distributions of noise factors through a reliability model to produce probability-of-failure estimates that remain valid across a range of operating conditions and manufacturing tolerances. |
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