Optimal experimental design for model discrimination.

Optimal experimental design for model discrimination.
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DOI:
10.1037/a0016104
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发表时间:
2009-07
影响因子:
5.4
通讯作者:
Pitt, Mark A.
Pitt, Mark A.
中科院分区:
心理学1区
文献类型:
--
作者:
Myung, Jay I.;Pitt, Mark A.

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心理过程的模型可能很难在实验上歧视,因为确定关键设计变量的值(例如,演示时间表,刺激结构)并不容易,这在区分它们方面最有用。统计中基于抽样的搜索方法的最新发展使得确定这些值是可能的,从而确定了最佳的实验设计。在描述了该方法之后,它在认知心理学的两个内容领域中得到了证明,其中模型具有很高的竞争力:保留(即遗忘)和分类。将最佳设计与文献中使用的设计质量进行了比较。研究结果表明,设计优化有可能提高实验方法的信息性。
Models of a psychological process can be difficult to discriminate experimentally because it is not easy to determine the values of the critical design variables (e.g., presentation schedule, stimulus structure) that will be most informative in differentiating them. Recent developments in sampling-based search methods in statistics make it possible to determine these values, and thereby identify an optimal experimental design. After describing the method, it is demonstrated in two content areas in cognitive psychology in which models are highly competitive: retention (i.e., forgetting) and categorization. The optimal design is compared with the quality of designs used in the literature. The findings demonstrate that design optimization has the potential to increase the informativeness of the experimental method.
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