Krypotos Angelos-Miltiadis, Klugkist Irene, Engelhard Iris M
Department of Clinical Psychology, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands.
Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands.
Eur J Psychotraumatol. 2017 May 16;8(sup1):1314782. doi: 10.1080/20008198.2017.1314782. eCollection 2017.
Threat conditioning procedures have allowed the experimental investigation of the pathogenesis of Post-Traumatic Stress Disorder. The findings of these procedures have also provided stable foundations for the development of relevant intervention programs (e.g. exposure therapy). Statistical inference of threat conditioning procedures is commonly based on -values and Null Hypothesis Significance Testing (NHST). Nowadays, however, there is a growing concern about this statistical approach, as many scientists point to the various limitations of -values and NHST. As an alternative, the use of Bayes factors and Bayesian hypothesis testing has been suggested. In this article, we apply this statistical approach to threat conditioning data. In order to enable the easy computation of Bayes factors for threat conditioning data we present a new R package named condir, which can be used either via the R console or via a Shiny application. This article provides both a non-technical introduction to Bayesian analysis for researchers using the threat conditioning paradigm, and the necessary tools for computing Bayes factors easily.
威胁条件作用程序使得对创伤后应激障碍发病机制的实验研究成为可能。这些程序的研究结果也为相关干预项目（如暴露疗法）的发展提供了坚实的基础。威胁条件作用程序的统计推断通常基于p值和零假设显著性检验（NHST）。然而，如今人们对这种统计方法的担忧日益增加，因为许多科学家指出了p值和NHST的各种局限性。作为一种替代方法，有人建议使用贝叶斯因子和贝叶斯假设检验。在本文中，我们将这种统计方法应用于威胁条件作用数据。为了能够轻松计算威胁条件作用数据的贝叶斯因子，我们提出了一个名为condir的新R包，它既可以通过R控制台使用，也可以通过一个Shiny应用程序使用。本文既为使用威胁条件作用范式的研究人员提供了贝叶斯分析的非技术性介绍，也提供了轻松计算贝叶斯因子的必要工具。
