Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Заблокований експериментальний дизайн з вимірюванням до та після× | Факторний експеримент× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1935 (blocking, Fisher); 1963 (pretest-posttest + blocking synthesis, Campbell & Stanley) | 1926–1935 |
| Автор методу≠ | Donald T. Campbell & Julian C. Stanley (systematized); blocking technique from Ronald A. Fisher | Ronald A. Fisher |
| Тип≠ | Experimental design | Quantitative experimental design |
| Основоположне джерело≠ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Інші назви | blocked pre-post design, RBPP design, block-randomized pretest-posttest design, randomized block pre-post control group design | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Пов'язані | 6 | 6 |
| Підсумок≠ | The blocked pretest-posttest experimental design combines blocking — grouping participants into homogeneous strata before randomization — with pre- and post-intervention measurement. Blocking controls for known sources of variability (e.g., baseline ability, gender, site), while the pretest-posttest structure quantifies change scores directly. Together, they reduce error variance and increase statistical power compared to a simple pretest-posttest design, making this approach well suited to educational, clinical, and behavioral intervention studies. | 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. |
| ScholarGateНабір даних ↗ |
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