Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Προσαρμοστικός Σχεδιασμός ABA× | Πειραματικός Σχεδιασμός Ενιαίου Υποκειμένου× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1968 (ABA foundation); adaptive extensions formalized ~2010–2020 | 1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s) |
| Δημιουργός≠ | Baer, Wolf & Risley (ABA baseline); adaptive decision-rule extensions developed in single-case methodology literature (Kratochwill & Levin, 2010s) | Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage) |
| Τύπος≠ | Single-subject experimental design with adaptive phase rules | Experimental research design |
| Θεμελιώδης πηγή≠ | 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 ↗ | Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440 |
| Εναλλακτικές ονομασίες | adaptive withdrawal design, adaptive ABA withdrawal design, data-driven ABA design, adaptive single-case ABA | SSED, single-case experimental design, n-of-1 design, intrasubject replication design |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | 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. | Single-subject experimental design (SSED) establishes experimental control by repeatedly measuring one individual (or a small number of individuals) across baseline and intervention phases, using the participant as their own control. Instead of comparing groups, it compares the participant's own behavior across conditions over time. Widely used in applied behavior analysis, special education, rehabilitation, and clinical psychology, SSED allows causal inference from small or unique samples where group designs are impractical. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|