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Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Experimento Fatorial Fracionado com Cegamento Simples×Experimento Fatorial Fracionado Duplo-Cego×
ÁreaDelineamento experimentalDelineamento experimental
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1940s–1950s (fractional factorial foundations); blinding conventions formalised through 1960s–1980s1960s onward (combination widely used in pharmaceutical and food science research)
Autor originalFractional factorial theory: R. L. Plackett & J. P. Burman (1946); single-blinding practice codified in clinical trial methodology (20th century)Fractional factorial: Box & Hunter (1961); double-blind convention: clinical trial methodology (mid-20th century)
TipoControlled experimental designControlled experimental design with blinding and factor-space reduction
Fonte seminalBox, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Outros nomessingle-masked fractional factorial, single-blind FFD, partially blinded fractional factorial, single-blind 2^(k-p) designdouble-blind FFE, blinded fractional factorial design, double-blind FFD, masked fractional factorial experiment
Relacionados53
ResumoA single-blind fractional factorial experiment studies multiple factors simultaneously by testing only a strategically chosen subset — a fraction — of all possible factor-level combinations, while keeping participants unaware of which treatment condition they receive. This design yields substantial information about main effects and selected interactions at a fraction of the cost of a full factorial experiment, with single-blinding reducing participant-side response bias.A double-blind fractional factorial experiment combines two powerful methodological protections: fractional factorial design, which tests a carefully chosen subset of all possible factor combinations to achieve efficiency, and double-blind administration, which prevents both participants and assessors from knowing which treatment combination has been applied. The result is an experiment that is both resource-efficient and protected against expectation and assessment bias.
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ScholarGateComparar métodos: Single-blind Fractional Factorial Experiment · Double-blind fractional factorial experiment. Recuperado em 2026-06-20 de https://scholargate.app/pt/compare