Salīdzināt metodes

	Adaptīvs lauka eksperiments	Faktoriālais lauka eksperiments
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1990s–2000s (formalized in field economics and development research contexts)	1920s–1935 (Fisher's foundational work); widely applied through 20th century
Autors	Developed at the intersection of adaptive trial methodology (Berry, Bauer) and field experimentation (Duflo, Kremer, List)	Ronald A. Fisher (factorial principle); extended to field settings in agricultural and social sciences
Tips	Adaptive experimental design conducted in naturalistic settings	Experimental design
Pirmavots	Berry, D. A. (2004). Bayesian statistics and the efficiency and ethics of clinical trials. Statistical Science, 19(1), 175–187.	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Citi nosaukumi	adaptive field trial, sequentially adaptive field experiment, responsive field experiment, adaptive randomized field study	factorial design in the field, field factorial design, multi-factor field trial, factorial field trial
Saistītās	6	5
Kopsavilkums	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.	A factorial field experiment applies factorial experimental design — simultaneously manipulating two or more independent factors across all combinations of their levels — in a real-world field setting rather than a controlled laboratory. It allows researchers to estimate both main effects and interaction effects of multiple factors on an outcome under ecologically valid conditions, making findings directly relevant to practice.