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| Πειραματικός Σχεδιασμός Μοναδικού Υποκειμένου (πιλοτικός)× | Προσαρμοστικός Πειραματικός Σχεδιασμός Μεμονωμένης Περίπτωσης× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2000s–2010s (as an explicitly named piloting strategy for SSED) | Classical SSED: 1960s–1970s; adaptive extensions formalised: 2000s–2010s |
| Δημιουργός≠ | Derived from single-subject experimental design traditions (Sidman, 1960; Kazdin) and pilot study methodology (Lancaster, Dodd, Williamson, 2004; Thabane et al., 2010) | Evolved from classical single-case designs (Skinner, Sidman); adaptive features formalised in clinical N-of-1 literature (Zucker, Schmid, Nikles et al.) |
| Τύπος≠ | Pilot experimental design | Experimental single-subject design with adaptive decision rules |
| Θεμελιώδης πηγή≠ | Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., ... & Goldsmith, C. H. (2010). A tutorial on pilot studies: the what, why and how. BMC Medical Research Methodology, 10(1), 1. DOI ↗ | Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881 |
| Εναλλακτικές ονομασίες | pilot SSED, pilot N-of-1 experiment, pilot single-case experimental design, pilot SCED | Adaptive SSED, Adaptive N-of-1 design, Adaptive single-case experimental design, Adaptive SCE design |
| Συναφείς≠ | 6 | 4 |
| Σύνοψη≠ | A pilot single-subject experimental design (pilot SSED) is a small-scale feasibility trial applied to one or very few individuals, combining the repeated-measurement logic of single-subject experimental design with the explicit preparatory aims of a pilot study. It is used to test an intervention protocol, measurement procedures, and design logistics before committing to a full-scale single-case or group experiment. | Adaptive single-subject experimental design (adaptive SSED) is an experimental methodology in which a single participant or unit is repeatedly observed under systematically alternated conditions — baseline and intervention — while pre-specified decision rules allow the researcher or clinician to modify treatment parameters, phase lengths, or condition sequences in response to continuously collected data. It merges the internal validity of classical single-case experimental designs with the flexibility of adaptive trial logic, making it especially valuable in clinical, behavioral, and applied settings where individual response trajectories vary substantially. |
| ScholarGateΣύνολο δεδομένων ↗ |
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