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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Eksperiment me shumë krahë kryqëzimi×Eksperiment Faktorijal×
FushaDizajni eksperimentalDizajni eksperimental
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinësMid-20th century; multi-arm extensions formalized by 1970s–1980s1926–1935
KrijuesiDeveloped from early crossover trial methodology (Williams 1949; Cochran & Cox 1957)Ronald A. Fisher
LlojiWithin-subject experimental design with multiple treatment armsQuantitative experimental design
Burimi themeluesJones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883869Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Emërtime të tjeramulti-arm crossover trial, multi-period multi-treatment crossover, CMAT, multi-treatment crossover experimentfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Të lidhura56
PërmbledhjaA crossover multi-arm experiment is a within-subject experimental design in which each participant receives three or more treatments (arms) across successive periods, with random assignment to sequence. Because every participant experiences all arms, the design eliminates between-subject variability from treatment comparisons, dramatically increasing statistical power for a given sample size. It is widely used in clinical pharmacology, psychology, agriculture, and behavioral research.A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect.
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ScholarGateKrahasoni metodat: Crossover multi-arm experiment · Factorial Experiment. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare