手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 要因単一被験者実験計画× | 要因実験× | |
|---|---|---|
| 分野 | 実験計画法 | 実験計画法 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 1970s–1980s | 1926–1935 |
| 提唱者≠ | Applied behavior analysis tradition; systematized in Barlow & Hersen (1984) and Kazdin (1982) | Ronald A. Fisher |
| 種類≠ | Experimental single-subject design with multiple independent variables | Quantitative experimental design |
| 原典≠ | Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| 別名 | factorial SCED, factorial single-case design, factorial N-of-1 design, factorial within-subject experimental design | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| 関連 | 6 | 6 |
| 概要≠ | A factorial single-subject experimental design applies the logic of factorial experiments — manipulating two or more independent variables simultaneously to study main effects and interactions — within a single-subject (N=1 or small N) repeated-measures framework. Instead of comparing groups, the same individual serves as their own control across systematically varied conditions, enabling fine-grained analysis of how multiple treatment components combine to influence behavior or clinical outcomes. | A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect. |
| ScholarGateデータセット ↗ |
|
|