Department of Psychology, University of Queensland, 4067, St. Lucia, Queensland, Australia.
Mem Cognit. 1977 Sep;5(5):580-9. doi: 10.3758/BF03197403.
A model for response latency in recognition memory is described which is a strength model incorporating the notion of multiple observations and with the additional assumptions that the variance of the strength distributions increase with set size and that the observer attempts to keep his error rate at a constant level over set size. It is shown that the model can, without recourse to particular parameter values, predict a near linear RT set-size function and, since it is a (TSD) model in its decision aspects, can account for errors and hence error latencies in the recognition task. After the model is described, two experiments are performed which test the prediction that correct mean latency is generally shorter than incorrect mean latency. The prediction is confirmed and this feature is discussed in general, the model being compared with that of Juola, Fischler, Wood, and Atkinson (1971) in this respect. Some possible modifications to the latter model are also considered.
描述了一种识别记忆中反应时的模型，它是一种强度模型，包含了多次观察的概念，并且还有其他假设，即强度分布的方差随集大小的增加而增加，并且观察者试图在集大小上保持其错误率保持在恒定水平。结果表明，该模型可以在不依赖特定参数值的情况下预测接近线性的 RT 集大小函数，并且由于它在决策方面是一个（TSD）模型，因此可以解释识别任务中的错误，从而解释错误潜伏期。在描述模型之后，进行了两个实验，以检验正确平均潜伏期通常短于错误平均潜伏期的预测。该预测得到了证实，并且在此方面，将该模型与 Juola、Fischler、Wood 和 Atkinson（1971）的模型进行了讨论。还考虑了对后者模型的一些可能的修改。
