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| Scheffé Test× | 이원 분산 분석 (Two-Way ANOVA)× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1953 | 1925 |
| 창시자≠ | Henry Scheffé | Ronald A. Fisher |
| 유형≠ | Post-hoc multiple comparison test | Parametric factorial mean comparison |
| 원전≠ | Scheffé, H. (1953). A method for judging all contrasts in the analysis of variance. Biometrika, 40(1–2), 87–110. DOI ↗ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 |
| 별칭≠ | Scheffe test, Scheffe method, Scheffé post-hoc test, S-method | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA |
| 관련≠ | 3 | 6 |
| 요약≠ | The Scheffé test is a post-hoc multiple comparison procedure that controls the family-wise error rate simultaneously for all possible linear contrasts among group means following a significant ANOVA. Introduced by Henry Scheffé in his landmark 1953 Biometrika paper, it is the most general and conservative standard post-hoc method, remaining valid regardless of how many or which contrasts are examined after seeing the data. | Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors. |
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