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Inconsistent analytic strategies reduce robustness in fear extinction via skin conductance response
Citation
Ney, LJ and Laing, PAF and Steward, T and Zuj, DV and Dymond, S and Felmingham, KL, Inconsistent analytic strategies reduce robustness in fear extinction via skin conductance response, Psychophysiology, 57, (11) Article e13650. ISSN 0048-5772 (2020) [Refereed Article]
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Copyright Statement
Copyright 2020 Society for Psychophysiological Research
Abstract
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 lack of robustness. In the current study, we resampled data from six of our own fear acquisition and extinction datasets, with skin conductance as the outcome. In the resampled and original datasets, 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 selection of trials from different stages of each experimental phase and use of averaged compared to trial-by-trial analysis. These findings reinforce the importance of focusing on robustness in 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.
Item Details
Item Type: | Refereed Article |
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Keywords: | skin conductance response, statistical analysis, rear extinction, fear conditioning, threat conditioning, robustness |
Research Division: | Psychology |
Research Group: | Biological psychology |
Research Field: | Behavioural neuroscience |
Objective Division: | Health |
Objective Group: | Public health (excl. specific population health) |
Objective Field: | Mental health |
UTAS Author: | Ney, LJ (Mr Luke Ney) |
ID Code: | 139846 |
Year Published: | 2020 |
Web of Science® Times Cited: | 19 |
Deposited By: | Psychology |
Deposited On: | 2020-07-08 |
Last Modified: | 2021-03-25 |
Downloads: | 31 View Download Statistics |
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