Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Adaptīvā vairāku bāzeslīniju dizains× | Viena subjekta eksperimentālais dizains× | |
|---|---|---|
| Nozare | Eksperimentu plānošana | Eksperimentu plānošana |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1968 (multiple baseline base); adaptive extensions discussed from ~2000s onward | 1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s) |
| Autors≠ | Baer, Wolf & Risley (multiple baseline foundation); adaptive modifications developed within single-case methodology community | Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage) |
| Tips≠ | Single-case experimental design (SCED) | Experimental research design |
| Pirmavots≠ | 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 |
| Citi nosaukumi | adaptive MBD, flexible multiple baseline design, adaptive SCED multiple baseline, data-driven multiple baseline design | SSED, single-case experimental design, n-of-1 design, intrasubject replication design |
| Saistītās | 6 | 6 |
| Kopsavilkums≠ | The Adaptive Multiple Baseline Design is a single-case experimental design that applies the standard multiple baseline logic — staggering intervention onset across two or more tiers (behaviors, settings, or participants) — but allows phase-change decisions to be guided by ongoing data review rather than fixed, pre-specified schedules. This flexibility makes the design more responsive to participant variability while preserving the core replication logic that supports causal inference. | 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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