Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Design experimental cu grup de control încrucișat× | Design Experimental Pretest-Posttest× | |
|---|---|---|
| Domeniu | Design experimental | Design experimental |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | Mid-20th century; systematic treatment from 1980s onward | 1963 (formalized in Campbell & Stanley) |
| Autorul original≠ | Established in clinical pharmacology and agricultural research; formalized by B. Jones & M. G. Kenward | Donald T. Campbell and Julian C. Stanley |
| Tip≠ | Experimental design | Experimental / quasi-experimental research design |
| Sursa seminală≠ | Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883500 | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Denumiri alternative | crossover controlled trial, within-subject crossover with control, AB/BA crossover controlled design, repeated-measures crossover with control arm | pretest-posttest design, before-after design, pre-post design, two-wave experimental design |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | A crossover control group experimental design is an experimental approach in which participants are randomly assigned to sequences of conditions that include both a treatment and a control (no-treatment or placebo) period, with each participant experiencing both the experimental and control conditions in succession. By using each participant as their own control across periods, this design sharply reduces between-subject variability and typically requires fewer participants than parallel group trials to achieve equivalent statistical power. | 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. |
| ScholarGateSet de date ↗ |
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