השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| עיצוב ניסויי אדפטיבי של מבחן קדם-מבחן-לאחר× | ניסוי אדפטיבי× | |
|---|---|---|
| תחום | תכנון ניסויים | תכנון ניסויים |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2000s (integration of adaptive principles with classic pre-post structure) | 1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s |
| הוגה השיטה≠ | 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 |
| סוג≠ | Experimental design | Experimental research design |
| מקור מכונן≠ | 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 |
| כינויים | 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 |
| קשורות≠ | 6 | 5 |
| תקציר≠ | 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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