পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ক্রসওভার প্রিটেস্ট-পোস্টটেস্ট এক্সপেরিমেন্টাল ডিজাইন× | ফ্যাক্টোরিয়াল প্রিটেস্ট-পোস্টটেস্ট এক্সপেরিমেন্টাল ডিজাইন× | |
|---|---|---|
| ক্ষেত্র | পরীক্ষামূলক নকশা | পরীক্ষামূলক নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1963 (Campbell & Stanley framework); crossover methodology formalized 1980s–2000s | 1963 (canonical formalization) |
| প্রবর্তক≠ | Donald T. Campbell & Julian C. Stanley (pretest-posttest framework); Stephen Senn (crossover trial methodology) | Codified by Donald T. Campbell and Julian C. Stanley |
| ধরন≠ | Within-subjects experimental design | True experimental design |
| মৌলিক উৎস≠ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| অপর নাম | within-subjects pretest-posttest design, repeated-measures crossover design, AB/BA pretest-posttest design, crossover repeated-measures design | factorial pre-post design, factorial repeated-measures pretest-posttest design, multi-factor pretest-posttest design, FPPD |
| সম্পর্কিত≠ | 5 | 6 |
| সারসংক্ষেপ≠ | A crossover pretest-posttest experimental design is a within-subjects experiment in which each participant receives two or more treatments in a randomized sequence, with outcome measurements taken both before and after each treatment period. By serving as their own control across conditions, participants allow direct intra-individual comparison, dramatically increasing statistical power while reducing the sample size required relative to a parallel-group design. | 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. |
| ScholarGateডেটাসেট ↗ |
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