เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Mixed ANOVA× | การวิเคราะห์ความแปรปรวนร่วม (Multivariate Analysis of Variance - MANOVA)× | |
|---|---|---|
| สาขาวิชา | สถิติศาสตร์ | สถิติศาสตร์ |
| ตระกูล | Hypothesis test | Hypothesis test |
| ปีกำเนิด≠ | 1925 | 1932 |
| ผู้ริเริ่ม≠ | R. A. Fisher (ANOVA framework); split-plot design formalised in agricultural experimentation | Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.) |
| ประเภท≠ | Parametric factorial ANOVA | Parametric multivariate mean comparison |
| แหล่งต้นตำรับ≠ | Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE. ISBN: 978-1526419521 | Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574 |
| ชื่อเรียกอื่น≠ | split-plot ANOVA, mixed-design ANOVA, between-within ANOVA, Karma ANOVA (Mixed ANOVA — Gruplar Arası × Tekrarlı) | Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA) |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | Mixed ANOVA is a parametric factorial analysis of variance that simultaneously examines at least one between-subjects factor and at least one within-subjects (repeated-measures) factor. Rooted in R. A. Fisher's ANOVA framework formalised in 1925, it is the standard method for experimental and longitudinal designs in which different groups are each measured across multiple time points or conditions. | 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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