পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| পুনরাবৃত্ত-ব্যবস্থা ANOVA× | দ্বিমুখী ভেদাঙ্ক বিশ্লেষণ (দ্বিমুখী ANOVA)× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার | Hypothesis test | Hypothesis test |
| উদ্ভবের বছর≠ | 1992 | 1925 |
| প্রবর্তক≠ | Girden (textbook treatment); Field (2013) | Ronald A. Fisher |
| ধরন≠ | Parametric within-subjects mean comparison | Parametric factorial mean comparison |
| মৌলিক উৎস≠ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 |
| অপর নাম≠ | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA |
| সম্পর্কিত≠ | 4 | 6 |
| সারসংক্ষেপ≠ | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). | 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. |
| ScholarGateডেটাসেট ↗ |
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