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Crossover Factorial Experiment — Crossover Factorial Experimental Design

A crossover factorial experiment combines two powerful design principles: factorial structure, which studies multiple factors and their interactions simultaneously, and crossover structure, in which each participant receives more than one treatment combination across sequential periods. By serving as their own control, participants reduce between-subject variability, improving statistical power while also revealing how different factor levels interact within the same individual.

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Sources

  1. Jones, B., & Kenward, M. G. (2014). Design and Analysis of Cross-Over Trials (3rd ed.). Chapman and Hall/CRC. ISBN: 978-1439861424
  2. Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443

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Referenced by

ScholarGateCrossover Factorial Experiment (Crossover Factorial Experimental Design). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/crossover-factorial-experiment