পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ডাবল-ব্লাইন্ড ফিল্ড এক্সপেরিমেন্ট× | ক্ষেত্র পরীক্ষা× | |
|---|---|---|
| ক্ষেত্র | পরীক্ষামূলক নকশা | পরীক্ষামূলক নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1960s onward (field experiment tradition); double-blind controls applied from 1970s in social and policy field trials | 1920s–1930s (agriculture); 1990s–2000s (social sciences) |
| প্রবর্তক≠ | Fisher, R. A. (randomized field trials); double-blind practice traced to 19th-century clinical research, formalized for field settings by Campbell & Stanley (1963) | Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004) |
| ধরন | Experimental design | Experimental design |
| মৌলিক উৎস≠ | Gerber, A. S., & Green, D. P. (2012). Field Experiments: Design, Analysis, and Interpretation. W. W. Norton. ISBN: 978-0393979954 | Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗ |
| অপর নাম | double-masked field trial, double-blind naturalistic experiment, blinded field study, DB field experiment | field trial, natural field experiment, randomized field experiment, field RCT |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | A double-blind field experiment combines the high external validity of a real-world field setting with double-blind masking, in which neither the participants nor the personnel delivering the treatment know who has been assigned to the treatment or control condition. This design controls simultaneously for participant expectation effects and for experimenter/enumerator demand effects, making it one of the most rigorous tools available for causal inference outside the laboratory. | A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research. |
| ScholarGateডেটাসেট ↗ |
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