방법 비교

	실용주의 실험실 실험	야외 실험	전요인 실험 설계
분야	실험설계	실험설계	실험설계
계열	Process / pipeline	Process / pipeline	Hypothesis test
기원 연도	1967 (foundational distinction); 2009 (PRECIS operationalization)	1920s–1930s (agriculture); 1990s–2000s (social sciences)	1926
창시자	Schwartz & Lellouch (pragmatic–explanatory distinction); extended by PRECIS framework developers	Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004)	R. A. Fisher
유형	Experimental design philosophy and study type	Experimental design	Parametric factorial experiment
원전	Schwartz, D., & Lellouch, J. (1967). Explanatory and pragmatic attitudes in therapeutical trials. Journal of Chronic Diseases, 20(8), 637–648.	Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055.	Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. ISBN: 978-0471718130
별칭	pragmatic experiment, applied laboratory trial, practice-oriented lab experiment, pragmatic controlled experiment	field trial, natural field experiment, randomized field experiment, field RCT	factorial experiment, 2^k factorial, full factorial, Faktöriyel Deneme Deseni (Full Factorial, 2^k)
관련	3	5	5
요약	A pragmatic laboratory experiment is a controlled study conducted in a laboratory setting that prioritises external validity and real-world applicability over the stringent internal controls characteristic of purely explanatory experiments. Drawing on the pragmatic–explanatory continuum formalised by Schwartz and Lellouch (1967) and later operationalised in the PRECIS framework, it asks whether an intervention works under conditions that approximate actual practice rather than ideal circumstances, making findings directly actionable for decision-makers and practitioners.	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.	A full factorial design is a parametric experimental method in which every combination of factor levels is tested simultaneously, enabling the estimation of all main effects and all interaction effects in a single study. Rooted in R. A. Fisher's foundational work on designed experiments (1926) and systematically developed by Box, Hunter, and Hunter (2005) and Montgomery (2017), the 2^k form tests k two-level factors across 2^k experimental runs and is the benchmark against which all other factorial designs are measured.