เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์ความแปรปรวนแบบสองทาง (Two-Way ANOVA)× | การวิเคราะห์ความแปรปรวนร่วม (Multivariate Analysis of Variance - MANOVA)× | |
|---|---|---|
| สาขาวิชา | สถิติศาสตร์ | สถิติศาสตร์ |
| ตระกูล | Hypothesis test | Hypothesis test |
| ปีกำเนิด≠ | 1925 | 1932 |
| ผู้ริเริ่ม≠ | Ronald A. Fisher | Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.) |
| ประเภท≠ | Parametric factorial mean comparison | Parametric multivariate mean comparison |
| แหล่งต้นตำรับ≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574 |
| ชื่อเรียกอื่น≠ | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA | Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA) |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | 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. | MANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932. |
| ScholarGateชุดข้อมูล ↗ |
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