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| Factorial ABAB Design× | Muundo wa Majaribio wa Kisaidizi Mmoja× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1960s–1970s (integration of factorial and single-subject reversal traditions) | 1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s) |
| Mwanzilishi≠ | Derived from Sidman (1960) reversal logic and Fisher & Yates factorial principles; systematized in applied behavior analysis | Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage) |
| Aina≠ | Single-subject experimental design | Experimental research design |
| Chanzo asilia≠ | Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881 | Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440 |
| Majina mbadala | factorial reversal design, factorial withdrawal design, multi-factor ABAB design, factorial single-subject reversal | SSED, single-case experimental design, n-of-1 design, intrasubject replication design |
| Zinazohusiana≠ | 5 | 6 |
| Muhtasari≠ | The factorial ABAB design embeds a factorial structure within the classical ABAB reversal framework, enabling a single participant or a small set of participants to experience multiple factor combinations across alternating baseline (A) and treatment (B) phases. By systematically withdrawing and reinstating treatment conditions that vary across two or more factors, the design allows examination of both main effects and interactions at the individual level, providing strong experimental control through within-subject replication. | 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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