Department of Psychology, University of Leuven,Leuven, Belgium.
Psychol Methods. 2011 Mar;16(1):44-62. doi: 10.1037/a0021765.
Two-choice response times are a common type of data, and much research has been devoted to the development of process models for such data. However, the practical application of these models is notoriously complicated, and flexible methods are largely nonexistent. We combine a popular model for choice response times-the Wiener diffusion process-with techniques from psychometrics in order to construct a hierarchical diffusion model. Chief among these techniques is the application of random effects, with which we allow for unexplained variability among participants, items, or other experimental units. These techniques lead to a modeling framework that is highly flexible and easy to work with. Among the many novel models this statistical framework provides are a multilevel diffusion model, regression diffusion models, and a large family of explanatory diffusion models. We provide examples and the necessary computer code.
二择一反应时是一种常见的数据类型，已有大量研究致力于开发此类数据的过程模型。然而，这些模型的实际应用非常复杂，灵活的方法也基本不存在。我们将一种流行的选择反应时模型——Wiener 扩散过程与心理测量学技术相结合，构建了一个层次扩散模型。其中主要的技术是随机效应的应用，我们允许参与者、项目或其他实验单位之间存在无法解释的变异性。这些技术导致了一个非常灵活和易于使用的建模框架。这个统计框架提供了许多新颖的模型，包括一个多层次扩散模型、回归扩散模型和一大类解释性扩散模型。我们提供了示例和必要的计算机代码。
