Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-11-01
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| Series: | European Journal of Psychotraumatology |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/20008198.2017.1314782 |
| _version_ | 1828065825753399296 |
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| author | Angelos-Miltiadis Krypotos Irene Klugkist Iris M. Engelhard |
| author_facet | Angelos-Miltiadis Krypotos Irene Klugkist Iris M. Engelhard |
| author_sort | Angelos-Miltiadis Krypotos |
| collection | DOAJ |
| description | 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 p-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 p-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. |
| first_indexed | 2024-04-10T23:20:02Z |
| format | Article |
| id | doaj.art-9532de22f14843499249de4947eb0713 |
| institution | Directory Open Access Journal |
| issn | 2000-8066 |
| language | English |
| last_indexed | 2024-04-10T23:20:02Z |
| publishDate | 2017-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Psychotraumatology |
| spelling | doaj.art-9532de22f14843499249de4947eb07132023-01-12T15:31:28ZengTaylor & Francis GroupEuropean Journal of Psychotraumatology2000-80662017-11-018010.1080/20008198.2017.13147821314782Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R packageAngelos-Miltiadis Krypotos0Irene Klugkist1Iris M. Engelhard2Utrecht UniversityUtrecht UniversityUtrecht UniversityThreat 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 p-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 p-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.http://dx.doi.org/10.1080/20008198.2017.1314782post-traumatic stress disorderbayes factorexperimental psychopathologyfeartreatment |
| spellingShingle | Angelos-Miltiadis Krypotos Irene Klugkist Iris M. Engelhard Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package European Journal of Psychotraumatology post-traumatic stress disorder bayes factor experimental psychopathology fear treatment |
| title | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
| title_full | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
| title_fullStr | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
| title_full_unstemmed | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
| title_short | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
| title_sort | bayesian hypothesis testing for human threat conditioning research an introduction and the condir r package |
| topic | post-traumatic stress disorder bayes factor experimental psychopathology fear treatment |
| url | http://dx.doi.org/10.1080/20008198.2017.1314782 |
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