Σύγκριση μεθόδων

	Πραγματιστικό Πείραμα Πεδίου	Πειραματική Μελέτη Προσαρμοστικού Πεδίου
Πεδίο	Πειραματικός Σχεδιασμός	Πειραματικός Σχεδιασμός
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1967 (pragmatic framing); 2009 (PRECIS tool)	1990s–2000s (formalized in field economics and development research contexts)
Δημιουργός	Schwartz & Lellouch (pragmatic framing); formalized for practice through PRECIS framework (Thorpe et al.)	Developed at the intersection of adaptive trial methodology (Berry, Bauer) and field experimentation (Duflo, Kremer, List)
Τύπος	Experimental design	Adaptive experimental design conducted in naturalistic settings
Θεμελιώδης πηγή	Schwartz, D., & Lellouch, J. (1967). Explanatory and pragmatic attitudes in therapeutical trials. Journal of Chronic Diseases, 20(8), 637–648.	Berry, D. A. (2004). Bayesian statistics and the efficiency and ethics of clinical trials. Statistical Science, 19(1), 175–187.
Εναλλακτικές ονομασίες	pragmatic effectiveness trial, real-world field experiment, effectiveness field trial, practical field study	adaptive field trial, sequentially adaptive field experiment, responsive field experiment, adaptive randomized field study
Συναφείς	6	6
Σύνοψη	A pragmatic field experiment tests whether an intervention works under real-world, routine conditions rather than under the tightly controlled settings of a laboratory or explanatory trial. It combines the pragmatic trial philosophy — prioritising external validity and decision-relevance — with field experimentation, so findings directly inform policy and practice. The design is positioned toward the pragmatic end of the PRECIS continuum and is widely used in public health, education, agriculture, and behavioral economics.	An adaptive field experiment is a randomized study conducted in a real-world environment in which pre-specified decision rules allow the researcher to modify the trial as interim data accumulate — for example, by reallocating participants toward more effective arms, adjusting sample size, or stopping early for efficacy or futility — all while maintaining statistical integrity.