Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods
Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods
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DOI：
10.1007/s00426-014-0608-y
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发表时间：
2015-09-01
影响因子：
2.3
通讯作者：
Bayen, Ute J.
中科院分区：
文献类型：
--
作者：
Arnold, Nina R.;Broeder, Arndt;Bayen, Ute J.
由拉特克利夫（Psychol Rev 85：59-108，1978）引入的扩散模型已被应用于许多二元决策任务，包括识别记忆。它描述了随着时间的推移展开的动态证据积累，并对选择准确性和响应时间分布进行建模。各种参数描述决策质量和响应偏差的各个方面。在三个记忆实验中，该模型的有效性进行了实验测试，并分析了三个不同的程序：fast-dm，EZ，和DMAT。三个中心模型参数中的每一个都通过特定的实验操作来靶向。所有的操作主要影响相应的参数，从而支持的措施的收敛有效性。然而，对其他参数的影响较小，显示出判别效度的一些局限性。
The diffusion model introduced by Ratcliff (Psychol Rev 85:59-108, 1978) has been applied to many binary decision tasks including recognition memory. It describes dynamic evidence accumulation unfolding over time and models choice accuracy as well as response-time distributions. Various parameters describe aspects of decision quality and response bias. In three recognition-memory experiments, the validity of the model was tested experimentally and analyzed with three different programs: fast-dm, EZ, and DMAT. Each of three central model parameters was targeted via specific experimental manipulations. All manipulations affected mainly the corresponding parameters, thus supporting the convergent validity of the measures. There were, however, smaller effects on other parameters, showing some limitations in discriminant validity.