Principles in the design of multiphase experiments with a later laboratory phase: Orthogonal designs
Year: 2011
Type: conference-paper
Abstract: multitier Outline 1.Primary experimental design principles 2. Factor-allocation description for standard designs.3. Principles for simple multiphase experiments.4. Principles leading to complications, even with orthogonality. 5. Summary 2 1) Primary experimental design principles Principle 1 (Evaluate designs with skeleton ANOVA tables) Use whether or not data to be analyzed by ANOVA.Principle 2 (Fundamentals): Use randomization, replication and blocking or local control.Principle 3 (Minimize variance): Block entities to form new entities, within new entities being more homogeneous; assign treatments to least variable entity-type.Principle 4 (Split units): confound some treatment sources with more variable sources if some treatment factors: i. require larger units than others, ii.are expected to have a larger effect, or iii.are of less interest than others.
Institution: University of South Australia
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W818964999