ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

단일 눈가림 요인 설계 실험 (Single-blind Factorial Experiment)×Full Factorial Experiment×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도Factorial design: 1926; single-blinding as systematic practice: mid-20th century1926 (Fisher's foundational paper); codified by the 1950s–1960s
창시자Fisher, R. A. (factorial design); blinding practices formalized in clinical trials literature (20th century)Ronald A. Fisher
유형Controlled experimental designExperimental design
원전Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
별칭single-masked factorial trial, single-blind factorial design, SB factorial experimentfull factorial design, complete factorial design, 2^k factorial design, FFD
관련56
요약A single-blind factorial experiment combines factorial design — simultaneously varying two or more independent factors across all their level combinations — with single-blinding, in which participants are unaware of which treatment condition they have been assigned to while researchers and administrators remain unmasked. This design enables efficient estimation of main effects and interactions while reducing participant-side response bias.A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Single-blind Factorial Experiment · Full Factorial Experiment. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare