Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Ubunifu wa Majaribio wa Kikundi cha Kudhibiti Kisichojulikana kwa Pandi Mbili× | Muundo wa Majaribio wa Kabla na Baada ya Upimaji× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1930s–1950s (formalized in clinical trial methodology) | 1963 (formalized in Campbell & Stanley) |
| Mwanzilishi≠ | R. A. Fisher (experimental control foundations); blinding practices evolved in clinical research through the 20th century | Donald T. Campbell and Julian C. Stanley |
| Aina≠ | Experimental research design | Experimental / quasi-experimental research design |
| Chanzo asilia≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Majina mbadala | double-blind controlled experiment, DB-CG design, double-masked controlled trial, double-blind controlled study | pretest-posttest design, before-after design, pre-post design, two-wave experimental design |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | A double-blind control group experimental design is a rigorous experimental structure in which participants are randomly assigned to at least one treatment group and one control group, while both the participants and the researchers collecting or assessing outcomes are kept unaware of group assignment. By combining allocation concealment with blinding at two levels, the design minimizes expectancy bias, placebo effects, and assessor bias simultaneously, making it a cornerstone of high-quality intervention research in medicine, psychology, and the social sciences. | 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. |
| ScholarGateSeti ya data ↗ |
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