Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Crossover controlegroep experimenteel ontwerp× | Pretest-Posttest Experimenteel Ontwerp× | |
|---|---|---|
| Vakgebied | Experimenteel ontwerp | Experimenteel ontwerp |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | Mid-20th century; systematic treatment from 1980s onward | 1963 (formalized in Campbell & Stanley) |
| Grondlegger≠ | Established in clinical pharmacology and agricultural research; formalized by B. Jones & M. G. Kenward | Donald T. Campbell and Julian C. Stanley |
| Type≠ | Experimental design | Experimental / quasi-experimental research design |
| Oorspronkelijke bron≠ | 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 ↗ |
| Aliassen | 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 |
| Verwant≠ | 6 | 5 |
| Samenvatting≠ | 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. |
| ScholarGateGegevensset ↗ |
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