方法对比

	稳健效应量分析	稳健独立样本t检验
领域	统计学	统计学
方法族	Hypothesis test	Hypothesis test
起源年份	2005 (formalized)	1974–1990s
提出者	Algina, Keselman & Penfield; Wilcox	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
类型	Robust effect size estimation	Robust parametric mean comparison
开创性文献	Algina, J., Keselman, H. J., & Penfield, R. D. (2005). An alternative to Cohen's standardized mean difference effect size: A robust parameter and confidence interval in the two independent groups case. Psychological Methods, 10(3), 317–328.	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
别名	robust Cohen's d, trimmed-mean effect size, outlier-resistant effect size, robust standardized mean difference	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
相关	5	2
摘要	Robust effect size analysis quantifies the magnitude of a difference or association using estimators that are resistant to outliers and violations of normality. Rather than relying on classical statistics such as Cohen's d based on sample means and standard deviations, robust variants use trimmed means and Winsorized standard deviations to produce effect size estimates that accurately reflect the typical effect rather than being inflated by extreme values.	The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.