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| Προσαρμοστικός Πειραματικός Σχεδιασμός Προ- και Μετα-Ελέγχου× | Πειραματικός Σχεδιασμός Προ-ελέγχου-Μετα-ελέγχου× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2000s (integration of adaptive principles with classic pre-post structure) | 1963 (formalized in Campbell & Stanley) |
| Δημιουργός≠ | Synthesizes Campbell & Stanley (1963) pretest-posttest framework with adaptive design methodology formalized by Chow & Chang (2000s) | Donald T. Campbell and Julian C. Stanley |
| Τύπος≠ | Experimental design | Experimental / quasi-experimental research design |
| Θεμελιώδης πηγή | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Εναλλακτικές ονομασίες | adaptive pre-post design, adaptive pretest-posttest trial, adaptive two-period design, pre-post adaptive experiment | pretest-posttest design, before-after design, pre-post design, two-wave experimental design |
| Συναφείς≠ | 6 | 5 |
| Σύνοψη≠ | 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. | The pretest-posttest experimental design measures participants on the outcome variable before and after treatment, typically with random assignment to treatment and control groups. The difference between pre- and post-scores isolates the treatment effect from baseline variation, making this one of the most widely used frameworks in experimental and quasi-experimental research across education, psychology, medicine, and the social sciences. |
| ScholarGateΣύνολο δεδομένων ↗ |
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