Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs.

Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs.
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DOI:
10.1037/a0015826
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发表时间:
2009-09
影响因子:
7
通讯作者:
Li, Runze
Li, Runze
中科院分区:
心理学1区
文献类型:
--
作者:
Collins, Linda M.;Dziak, John J.;Li, Runze

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计划进行多个自变量实验的研究者必须决定是使用完全析因设计还是缩减析因设计。本文主张从资源管理的角度来做这一决定,在这一决定中,研究者寻求科学目标和经济之间的战略平衡。设计决策时的考虑因素包括研究问题是否被框定为主效应或简单效应;是否以及哪些效应被别名化(混杂)在特定设计中;在特定设计中必须实施的实验条件的数量以及该设计为保持期望的统计功效水平所需的实验受试者的数量;以及与实施实验条件和获得实验对象相关的成本。在这篇文章中,四个设计选项进行了比较:完全析因设计,个别实验,单因素和部分析因设计。完全析因设计、部分析因设计和单因子设计通常比对每个因子进行单独试验更经济。虽然行为科学家相对不熟悉,但由于其经济性和多功能性,部分因子设计值得认真考虑。
An investigator who plans to conduct experiments with multiple independent variables must decide whether to use a complete or reduced factorial design. 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. 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. In this article four design options are compared: complete factorial, individual experiments, single factor, and fractional factorial designs. Complete and fractional factorial designs and single factor designs are generally more economical than conducting individual experiments on each factor. Although relatively unfamiliar to behavioral scientists, fractional factorial designs merit serious consideration because of their economy and versatility.
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