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| 적응형 사전검사-사후검사 실험 설계× | 적응형 실험× | |
|---|---|---|
| 분야 | 실험설계 | 실험설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2000s (integration of adaptive principles with classic pre-post structure) | 1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s |
| 창시자≠ | Synthesizes Campbell & Stanley (1963) pretest-posttest framework with adaptive design methodology formalized by Chow & Chang (2000s) | Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others |
| 유형≠ | Experimental design | Experimental research design |
| 원전≠ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ | Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761 |
| 별칭 | adaptive pre-post design, adaptive pretest-posttest trial, adaptive two-period design, pre-post adaptive experiment | adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization |
| 관련≠ | 6 | 5 |
| 요약≠ | An adaptive pretest-posttest experimental design measures all participants before and after an intervention while allowing pre-specified modifications to the trial — such as sample size re-estimation, treatment arm dropping, or randomization ratio adjustment — based on accumulated interim data. It combines the interpretive power of change-score analysis with the efficiency gains and ethical safeguards of adaptive methodology, making it particularly valuable in clinical, educational, and behavioral research where early data can inform better resource allocation. | 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. |
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