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| Σχεδιασμός Παραγοντικού ABA× | Πειραματικός Σχεδιασμός Ενιαίου Υποκειμένου× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1968 (ABA base); factorial extensions developed through 1980s–2000s | 1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s) |
| Δημιουργός≠ | Derived from ABA reversal design (Baer, Wolf & Risley, 1968) extended with factorial manipulation principles | Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage) |
| Τύπος≠ | Single-case experimental design with factorial treatment structure | Experimental research design |
| Θεμελιώδης πηγή≠ | Kratochwill, T. R., & Levin, J. R. (Eds.). (2010). Single-Case Intervention Research: Methodological and Statistical Advances. American Psychological Association. ISBN: 978-1433807909 | Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440 |
| Εναλλακτικές ονομασίες | Factorial reversal design, Multi-factor ABA design, Factorial withdrawal design, SCED factorial ABA | SSED, single-case experimental design, n-of-1 design, intrasubject replication design |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | The Factorial ABA design embeds a factorial treatment structure within the ABA reversal framework. Rather than testing a single treatment against baseline, the researcher systematically varies two or more independent variables (factors) across treatment phases, using the ABA withdrawal logic to establish experimental control. This makes it possible to examine main effects and interactions among treatment components within a single-case or small-N experimental context. | 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. |
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