Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Design Experimental Blocat Pretest-Posttest× | Experiment factorial× | |
|---|---|---|
| Domeniu | Design experimental | Design experimental |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1935 (blocking, Fisher); 1963 (pretest-posttest + blocking synthesis, Campbell & Stanley) | 1926–1935 |
| Autorul original≠ | Donald T. Campbell & Julian C. Stanley (systematized); blocking technique from Ronald A. Fisher | Ronald A. Fisher |
| Tip≠ | Experimental design | Quantitative experimental design |
| Sursa seminală≠ | 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 ↗ |
| Denumiri alternative | 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 |
| Înrudite | 6 | 6 |
| Rezumat≠ | 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. |
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