Department of Psychological Sciences, Kansas State University, 492 Bluemont Hall, Manhattan, KS, 66506-5302, USA.
University of Houston-Clear Lake, Houston, TX, USA.
Behav Res Methods. 2018 Jun;50(3):1020-1029. doi: 10.3758/s13428-017-0923-5.
Despite the ubiquity of go/no-go tasks in the study of behavioral inhibition, there is a lack of evidence regarding the impact of key design characteristics, including the go/no-go ratio, intertrial interval, and number of types of go stimuli, on the production of different response classes of central interest. In the present study we sought to empirically determine the optimal conditions to maximize the production of a rare outcome of considerable interest to researchers: false alarms. As predicted, the shortest intertrial intervals (450 ms), intermediate go/no-go ratios (2:1 to 4:1), and the use of multiple types of go stimuli produced the greatest numbers of false alarms. These results are placed within the context of behavioral changes during learning.
尽管 Go/No-Go 任务在行为抑制研究中无处不在，但对于关键设计特征（包括 Go/No-Go 比、试验间间隔和 Go 刺激类型的数量）对产生不同的中心感兴趣的反应类别的影响，仍缺乏证据。在本研究中，我们试图通过实证确定最佳条件，以最大限度地产生研究人员非常关注的罕见结果：错误警报。正如所预测的那样，最短的试验间间隔（450 毫秒）、中等的 Go/No-Go 比（2:1 到 4:1）和使用多种类型的 Go 刺激产生了最多的错误警报。这些结果被置于学习期间行为变化的背景下。
