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Crossover Full Factorial Experiment/Evidence
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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Crossover Full Factorial Experimental Design
Taxonomic method record · process-pipeline / experimental-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
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Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketCrossover Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCrossover Randomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFull Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Used in the same domainLatin Square Designmachine-suggested · Relational suggestion, not evidence.See alsoRepeated-measures ANOVAmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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