পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| অভিযোজিত এবিএ নকশা× | অভিযোজিত পরীক্ষণ× | |
|---|---|---|
| ক্ষেত্র | পরীক্ষামূলক নকশা | পরীক্ষামূলক নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1968 (ABA foundation); adaptive extensions formalized ~2010–2020 | 1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s |
| প্রবর্তক≠ | Baer, Wolf & Risley (ABA baseline); adaptive decision-rule extensions developed in single-case methodology literature (Kratochwill & Levin, 2010s) | Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others |
| ধরন≠ | Single-subject experimental design with adaptive phase rules | Experimental research design |
| মৌলিক উৎস≠ | Baer, D. M., Wolf, M. M., & Risley, T. R. (1968). Some current dimensions of applied behavior analysis. Journal of Applied Behavior Analysis, 1(1), 91–97. DOI ↗ | Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761 |
| অপর নাম | adaptive withdrawal design, adaptive ABA withdrawal design, data-driven ABA design, adaptive single-case ABA | adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization |
| সম্পর্কিত≠ | 6 | 5 |
| সারসংক্ষেপ≠ | The Adaptive ABA Design is a single-subject experimental framework that follows the classic three-phase ABA withdrawal structure — baseline (A1), intervention (B), and return-to-baseline (A2) — while embedding prospective decision rules that allow researchers or clinicians to extend, shorten, or otherwise modify each phase in response to observed data patterns rather than following a fixed schedule. This adaptive layer makes the design responsive to individual participant trajectories while preserving experimental control. | An adaptive experiment is an experimental design in which pre-specified rules allow the protocol to be modified — such as reallocating participants to better-performing arms, stopping early for efficacy or futility, or changing sample size — based on accumulating interim data, while maintaining statistical validity. Adaptive designs are widely used in clinical trials, behavioural economics, and online platform testing to improve efficiency and ethics without sacrificing inferential rigour. |
| ScholarGateডেটাসেট ↗ |
|
|