পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ফ্যাক্টোরিয়াল প্রিটেস্ট-পোস্টটেস্ট এক্সপেরিমেন্টাল ডিজাইন× | স্প্লিট-প্লট পরীক্ষামূলক নকশা× | |
|---|---|---|
| ক্ষেত্র | পরীক্ষামূলক নকশা | পরীক্ষামূলক নকশা |
| পরিবার≠ | Process / pipeline | Hypothesis test |
| উদ্ভবের বছর≠ | 1963 (canonical formalization) | 1935 |
| প্রবর্তক≠ | Codified by Donald T. Campbell and Julian C. Stanley | Frank Yates |
| ধরন≠ | True experimental design | Parametric mixed-model ANOVA |
| মৌলিক উৎস≠ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ | Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI ↗ |
| অপর নাম≠ | factorial pre-post design, factorial repeated-measures pretest-posttest design, multi-factor pretest-posttest design, FPPD | split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot) |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | A factorial pretest-posttest experimental design combines the simultaneous manipulation of two or more independent variables (factors) with measurement of the dependent variable both before and after treatment. This structure allows researchers to assess the main effect of each factor, all possible interaction effects between factors, and the magnitude of change from pretest to posttest — all within a single, fully randomised experiment. | The split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot. |
| ScholarGateডেটাসেট ↗ |
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