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이중 눈가림 현장 실험×단일 눈가림 야외 실험 (Single-blind Field Experiment)×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도1960s onward (field experiment tradition); double-blind controls applied from 1970s in social and policy field trialsMid-20th century (blinding conventions formalised 1940s–1960s)
창시자Fisher, R. A. (randomized field trials); double-blind practice traced to 19th-century clinical research, formalized for field settings by Campbell & Stanley (1963)Established practice in experimental social science and clinical research; codified by Campbell & Stanley (1963) and Shadish, Cook & Campbell (2002)
유형Experimental designControlled field experiment with partial blinding
원전Gerber, A. S., & Green, D. P. (2012). Field Experiments: Design, Analysis, and Interpretation. W. W. Norton. ISBN: 978-0393979954Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560
별칭double-masked field trial, double-blind naturalistic experiment, blinded field study, DB field experimentsingle-masked field experiment, field experiment with single blinding, single-blind natural-setting trial
관련56
요약A 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 single-blind field experiment combines real-world experimental conditions with partial blinding: either participants or outcome assessors — but not both — are kept unaware of treatment assignment. This design reduces demand characteristics or observer bias while preserving ecological validity, making it a practical middle ground when full double-blinding is logistically infeasible in naturalistic settings.
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