LPC UMR 7290, Aix-Marseille Université, CNRS.
Department of Psychology, University of Amsterdam.
Psychol Methods. 2016 Sep;21(3):309-27. doi: 10.1037/met0000066. Epub 2016 Feb 11.
We propose and demonstrate the shifted Wald (SW) distribution as both a useful measurement tool and intraindividual process model for psychological response time (RT) data. Furthermore, we develop a methodology and fitting approach that readers can easily access. As a measurement tool, the SW provides a detailed quantification of the RT data that is more sophisticated than mean and SD comparisons. As an intraindividual process model, the SW provides a cognitive model for the response process in terms of signal accumulation and the threshold needed to respond. The details and importance of both of these features are developed, and we show how the approach can be easily generalized to a variety of experimental domains. The versatility and usefulness of the approach is demonstrated on 3 published data sets, each with a different canonical mode of responding: manual, vocal, and oculomotor modes. In addition, model-fitting code is included with the article. (PsycINFO Database Record
我们提出并证明了移位 Wald（SW）分布既是一种有用的测量工具，也是心理反应时间（RT）数据的个体内过程模型。此外，我们开发了一种方法和拟合方法，读者可以轻松访问。作为一种测量工具，SW 提供了对 RT 数据的详细量化，比均值和标准差比较更为复杂。作为一种个体内过程模型，SW 提供了一种关于信号积累和响应所需阈值的认知模型。我们详细介绍了这两个特征的重要性，并展示了如何轻松地将该方法推广到各种实验领域。该方法的多功能性和有用性在 3 个已发表的数据集上得到了验证，每个数据集都有不同的典型响应模式：手动、口头和眼动模式。此外，文章还包含模型拟合代码。
