เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์ความแปรปรวนร่วม (ANCOVA)× | การทดสอบ H แบบ Kruskal-Wallis× | การทดสอบทีของเวลช์ (ความแปรปรวนไม่เท่ากัน)× | |
|---|---|---|---|
| สาขาวิชา | สถิติศาสตร์ | สถิติศาสตร์ | สถิติศาสตร์ |
| ตระกูล | Hypothesis test | Hypothesis test | Hypothesis test |
| ปีกำเนิด≠ | 1932 | 1952 | 1947 |
| ผู้ริเริ่ม≠ | Ronald A. Fisher | William Kruskal & W. Allen Wallis | B. L. Welch |
| ประเภท≠ | Parametric group comparison with covariate control | Nonparametric group comparison | Parametric mean comparison (unequal variances) |
| แหล่งต้นตำรับ≠ | Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574 | Kruskal, W. H. & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. DOI ↗ | Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗ |
| ชื่อเรียกอื่น≠ | analysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi) | Kruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi | unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans) |
| ที่เกี่ยวข้อง≠ | 4 | 5 | 4 |
| สรุป≠ | ANCOVA is a parametric hypothesis test that compares the adjusted means of two or more independent groups while statistically controlling for one or more continuous covariates. By removing the portion of outcome variance explained by the covariate, ANCOVA increases statistical precision and produces fairer group comparisons. The method builds on the general linear model framework consolidated by Fisher in the early 1930s and is described comprehensively by Tabachnick and Fidell (2013). | The Kruskal-Wallis H test is a nonparametric hypothesis test that compares three or more independent groups to decide whether their distributions (typically their medians) differ. Introduced by William Kruskal and W. Allen Wallis in 1952, it works on ranks rather than raw values and is the distribution-free counterpart to one-way ANOVA. | Welch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread. |
| ScholarGateชุดข้อมูล ↗ |
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