Experimental validation of the diffusion model based on a slow response time paradigm
Experimental validation of the diffusion model based on a slow response time paradigm
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DOI：
10.1007/s00426-017-0945-8
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发表时间：
2019-09-01
影响因子：
2.3
通讯作者：
Voss, Andreas
中科院分区：
文献类型：
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作者：
Lerche, Veronika;Voss, Andreas
扩散模型（拉特克利夫，Psychol Rev 85（2）：59-108，1978）是应用于来自二元决策任务的响应时间（RT）数据的随机模型。该模型经常被用来理清不同的认知过程。扩散模型参数的有效性，但是，很少被检查。只有少数实验范式进行了分析，这些被限制到快速响应时间的范式。这是由于在扩散模型文献中反复提到的一项建议，即将应用限制在快速RT范例（更具体地说，限制在每次试验平均RT低于1.5 s的任务）。我们进行了实验验证研究，其中我们挑战了这种限制的必要性。我们使用了一个二进制任务，功能RT的几秒钟，每次试验和实验研究的收敛性和判别有效性的四个主要的扩散模型参数。更准确地说，在三个实验中，我们选择性地操纵这些参数，使用难度操纵（漂移率），速度-准确性指令（阈值分离），更复杂的运动任务（非决策时间）和不对称的回报矩阵（起点）。这些结果与基于快速RT范式的实验验证研究的结果相似。因此，我们的实验支持的扩散模型的参数的有效性，并有利于扩展模型的范例的基础上较慢的RT发言。
The diffusion model (Ratcliff, Psychol Rev 85(2):59-108, 1978) is a stochastic model that is applied to response time (RT) data from binary decision tasks. The model is often used to disentangle different cognitive processes. The validity of the diffusion model parameters has, however, rarely been examined. Only few experimental paradigms have been analyzed with those being restricted to fast response time paradigms. This is attributable to a recommendation stated repeatedly in the diffusion model literature to restrict applications to fast RT paradigms (more specifically, to tasks with mean RTs below 1.5s per trial). We conducted experimental validation studies in which we challenged the necessity of this restriction. We used a binary task that features RTs of several seconds per trial and experimentally examined the convergent and discriminant validity of the four main diffusion model parameters. More precisely, in three experiments, we selectively manipulated these parameters, using a difficulty manipulation (drift rate), speed-accuracy instructions (threshold separation), a more complex motoric task (non-decision time), and an asymmetric payoff matrix (starting point). The results were similar to the findings from experimental validation studies based on fast RT paradigms. Thus, our experiments support the validity of the parameters of the diffusion model and speak in favor of an extension of the model to paradigms based on slower RTs.