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Split-Plot Design

The split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot.

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Split-Plot Experimental Design

Taksonoomiline meetodikirje · hypothesis-test / experimental-design

Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. · DOI 10.2307/2983638
Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119492443

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Same method familyCompletely Randomized Designmachine-suggested · Relational suggestion, not evidence.Same method familyHierarchical Linear Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyOne-way ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyRandomized Complete Block Designmachine-suggested · Relational suggestion, not evidence.Same method familyRepeated-measures ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyTwo-Way ANOVAmachine-suggested · Relational suggestion, not evidence.