Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Факторний експериментальний дизайн із попереднім і подальшим тестуванням× | Експериментальний дизайн з попереднім і заключним тестуванням× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1963 (canonical formalization) | 1963 (formalized in Campbell & Stanley) |
| Автор методу≠ | Codified by Donald T. Campbell and Julian C. Stanley | Donald T. Campbell and Julian C. Stanley |
| Тип≠ | True experimental design | Experimental / quasi-experimental research design |
| Основоположне джерело | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Інші назви | factorial pre-post design, factorial repeated-measures pretest-posttest design, multi-factor pretest-posttest design, FPPD | pretest-posttest design, before-after design, pre-post design, two-wave experimental design |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | A factorial pretest-posttest experimental design combines the simultaneous manipulation of two or more independent variables (factors) with measurement of the dependent variable both before and after treatment. This structure allows researchers to assess the main effect of each factor, all possible interaction effects between factors, and the magnitude of change from pretest to posttest — all within a single, fully randomised experiment. | The pretest-posttest experimental design measures participants on the outcome variable before and after treatment, typically with random assignment to treatment and control groups. The difference between pre- and post-scores isolates the treatment effect from baseline variation, making this one of the most widely used frameworks in experimental and quasi-experimental research across education, psychology, medicine, and the social sciences. |
| ScholarGateНабір даних ↗ |
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