Method evidence record
Crossover Full Factorial Experiment
A crossover full factorial experiment combines the efficiency of a crossover (within-subject) design with the comprehensiveness of a full factorial design. Every participant receives all combinations of the factor levels across successive treatment periods, separated by washout intervals, allowing complete estimation of all main effects and interactions while using each participant as their own control.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Crossover Full Factorial Experimental Design
Taxonomic method recordprocess-pipelineexperimental-design
Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. · ISBN 978-1584883429
Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119320937
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
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No curated claims yet
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Related methods
Suggested6
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketCrossover Factorial Experiment
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketCrossover Randomized Controlled Trial
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketFactorial Experiment
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketFull Factorial Experiment
machine-suggestedRelational suggestion, not evidence.
- Used in the same domainLatin Square Design
machine-suggestedRelational suggestion, not evidence.
- See alsoRepeated-measures ANOVA
machine-suggestedRelational suggestion, not evidence.