قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تصميم تجريبي مضبوط بمجموعة ضابطة مزدوجة التعمية× | التجربة العاملية× | |
|---|---|---|
| المجال | التصميم التجريبي | التصميم التجريبي |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1930s–1950s (formalized in clinical trial methodology) | 1926–1935 |
| صاحب الطريقة≠ | R. A. Fisher (experimental control foundations); blinding practices evolved in clinical research through the 20th century | Ronald A. Fisher |
| النوع≠ | Experimental research design | Quantitative experimental design |
| المصدر التأسيسي | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| الأسماء البديلة | double-blind controlled experiment, DB-CG design, double-masked controlled trial, double-blind controlled study | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| ذات صلة≠ | 5 | 6 |
| الملخص≠ | 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. | 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. |
| ScholarGateمجموعة البيانات ↗ |
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