Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Pilotkontrollerad studiedesign× | Experimentell design med förtest och eftertest× | |
|---|---|---|
| Ämnesområde | Försöksplanering | Försöksplanering |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | Mid-20th century; widely formalized by 1980s–2000s | 1963 (formalized in Campbell & Stanley) |
| Upphovsperson≠ | Established through clinical and behavioral research traditions; formalized by Bradford Hill and colleagues in mid-20th century trial methodology | Donald T. Campbell and Julian C. Stanley |
| Typ≠ | Experimental design (pilot/feasibility variant) | Experimental / quasi-experimental research design |
| Ursprungskälla≠ | Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., Robson, R., Thabane, M., Giangregorio, L., & Goldsmith, C. H. (2010). A tutorial on pilot studies: the what, why and how. BMC Medical Research Methodology, 10, 1. DOI ↗ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Alias | pilot controlled experiment, pilot RCT feasibility study, small-scale controlled trial, pilot control group study | pretest-posttest design, before-after design, pre-post design, two-wave experimental design |
| Närliggande≠ | 4 | 5 |
| Sammanfattning≠ | A pilot control group experimental design is a small-scale, preliminary experiment that includes both a treatment group and a control group, conducted before the main study to test whether the full trial is feasible. It produces early effect-size estimates, identifies protocol problems, and confirms that random (or systematic) assignment to conditions is workable — all while generating a genuine comparison between treated and untreated participants. | 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. |
| ScholarGateDatamängd ↗ |
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