Considerations in making design decisions include whether research questions are framed as main effects or simple effects whether and which effects are aliased (confounded) in a particular design the number of experimental conditions that must be implemented in a particular design and the number of experimental subjects the design requires to maintain the desired level of statistical power and the costs associated with implementing experimental conditions and obtaining experimental subjects. This article advocates a resource management perspective on making this decision, in which the investigator seeks a strategic balance between service to scientific objectives and economy. An investigator who plans to conduct experiments with multiple independent variables must decide whether to use a complete or reduced factorial design.
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