পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Single-blind Fractional Factorial Experiment× | ফ্যাক্টোরিয়াল এক্সপেরিমেন্ট× | |
|---|---|---|
| ক্ষেত্র | পরীক্ষামূলক নকশা | পরীক্ষামূলক নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1940s–1950s (fractional factorial foundations); blinding conventions formalised through 1960s–1980s | 1926–1935 |
| প্রবর্তক≠ | Fractional factorial theory: R. L. Plackett & J. P. Burman (1946); single-blinding practice codified in clinical trial methodology (20th century) | Ronald A. Fisher |
| ধরন≠ | Controlled experimental design | Quantitative experimental design |
| মৌলিক উৎস≠ | Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| অপর নাম | single-masked fractional factorial, single-blind FFD, partially blinded fractional factorial, single-blind 2^(k-p) design | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| সম্পর্কিত≠ | 5 | 6 |
| সারসংক্ষেপ≠ | A single-blind fractional factorial experiment studies multiple factors simultaneously by testing only a strategically chosen subset — a fraction — of all possible factor-level combinations, while keeping participants unaware of which treatment condition they receive. This design yields substantial information about main effects and selected interactions at a fraction of the cost of a full factorial experiment, with single-blinding reducing participant-side response bias. | 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. |
| ScholarGateডেটাসেট ↗ |
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