School of Psychology, University of Tasmania, Hobart, TAS, Australia.
Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Carlton, VIC, Australia.
Psychophysiology. 2020 Nov;57(11):e13650. doi: 10.1111/psyp.13650. Epub 2020 Aug 4.
Robustness of fear conditioning and extinction paradigms has become increasingly important for many researchers interested in improving the study of anxiety and trauma disorders. We recently illustrated the wide variability in data analysis techniques in this paradigm, which we argued may result in a lack of robustness. In the current study, we resampled data from six of our own fear acquisition and extinction data sets, with skin conductance as the outcome. In the resampled and original data sets, we found that effect sizes that were calculated using discrepant statistical strategies, sourced from a non-exhaustive search of high-impact articles, were often poorly correlated. The main contributors to poor correlations were the selection of trials from different stages of each experimental phase and the use of average compared to trial-by-trial analysis. These findings reinforce the importance of focusing on robustness in the psychophysiological measurement of fear acquisition and extinction in the laboratory and may guide prospective researchers in which decisions may most impact the robustness of their results.
对于许多热衷于研究焦虑和创伤障碍的研究人员来说,恐惧条件反射和消退范式的稳健性变得越来越重要。我们最近在该范式中说明了数据分析技术的广泛可变性,我们认为这可能导致缺乏稳健性。在当前的研究中,我们对来自我们自己的六个恐惧获得和消退数据集的数据进行了重采样,以皮肤电导率作为结果。在重采样和原始数据集中,我们发现使用不同统计策略计算的效应量,源自对高影响力文章的非详尽搜索,通常相关性很差。相关性差的主要原因是从每个实验阶段的不同阶段选择试验,以及使用平均值而不是逐次分析。这些发现强调了在实验室中对恐惧获得和消退的心理生理学测量中关注稳健性的重要性,并可能指导未来的研究人员,了解哪些决策可能对其结果的稳健性产生最大影响。