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Factorial Experiment/Evidence
Method evidence record

Factorial Experiment

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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Source record

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

Factorial Experimental Design
Taxonomic method record · process-pipeline / experimental-design
  • Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. · URL
  • Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119320937
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Curated claims

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.

Same method familyAnalysis of Variance (ANOVA)machine-suggested · Relational suggestion, not evidence.Taxonomic bucketFractional Factorial 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.Used in the same domainRandomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Used in the same domainResponse Surface Methodologymachine-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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