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Прагматичен факторен експеримент×Пълнофакторен експериментален план×
ОбластПланиране на експериментаПланиране на експеримента
СемействоProcess / pipelineHypothesis test
Година на възникване2000s–2010s (formal integration)1926
СъздателSynthesized from pragmatic trial methodology (Schwartz & Lellouch, 1967) and factorial design principles (Fisher, 1935); formalized in clinical research contexts in the 2000s–2010sR. A. Fisher
ТипExperimental trial designParametric factorial experiment
Основополагащ източникLoudon, K., Treweek, S., Sullivan, F., Donnan, P., Thorpe, K. E., & Zwarenstein, M. (2015). The PRECIS-2 tool: designing trials that are fit for purpose. BMJ, 350, h2147. DOI ↗Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. ISBN: 978-0471718130
Други названияpragmatic factorial trial, pragmatic factorial RCT, real-world factorial design, PFEfactorial experiment, 2^k factorial, full factorial, Faktöriyel Deneme Deseni (Full Factorial, 2^k)
Свързани35
РезюмеA pragmatic factorial experiment combines two powerful methodological frameworks: the factorial experimental design — which tests multiple intervention components simultaneously — and the pragmatic trial orientation, which prioritizes real-world applicability, broad eligibility criteria, and flexible delivery conditions. The result is a design that efficiently evaluates which components of a complex intervention work, and whether they interact, while maintaining ecological validity for health, behavioral, and educational 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.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: Pragmatic Factorial Experiment · Full Factorial Design. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare