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Esperimento di laboratorio pragmatico×Disegno sperimentale fattoriale completo×
CampoDisegno sperimentaleDisegno sperimentale
FamigliaProcess / pipelineHypothesis test
Anno di origine1967 (foundational distinction); 2009 (PRECIS operationalization)1926
IdeatoreSchwartz & Lellouch (pragmatic–explanatory distinction); extended by PRECIS framework developersR. A. Fisher
TipoExperimental design philosophy and study typeParametric factorial experiment
Fonte seminaleSchwartz, D., & Lellouch, J. (1967). Explanatory and pragmatic attitudes in therapeutical trials. Journal of Chronic Diseases, 20(8), 637–648. 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
Aliaspragmatic experiment, applied laboratory trial, practice-oriented lab experiment, pragmatic controlled experimentfactorial experiment, 2^k factorial, full factorial, Faktöriyel Deneme Deseni (Full Factorial, 2^k)
Correlati35
SintesiA 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 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.
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ScholarGateConfronta i metodi: Pragmatic Laboratory Experiment · Full Factorial Design. Consultato il 2026-06-19 da https://scholargate.app/it/compare