2013
DOI: 10.1007/s10608-013-9588-2
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Measuring Attentional Bias to Threat: Reliability of Dot Probe and Eye Movement Indices

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Cited by 273 publications
(296 citation statements)
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“…Recent studies have demonstrated convergent, incremental, known-group criterion, and predictive validity of the dynamic features of the temporal dynamics of AB, in multiple tasks (e.g., dot probe task, spatial cueing task) for spider phobia, addiction behavior (e.g., smoking rate), social anxiety, PTSD risk (prospectivelongitudinal prediction of PTSD symptom development), as well as PTSD symptom severity and trauma-related behavioral avoidance in highly traumatized refugees (e.g., Bardeen, Tull, Daniel, Evenden, & Stevens, in press;Davis et al, in press;Schäfer et al, in press;Yuval et al, in press;Zvielli et al, 2015; see also Iacoviello et al, 2014;Naim et al, 2015 for related work on attention bias variability in PTSD). These findings are furthermore noteworthy in light of recent studies demonstrating that the same conceptual and methodological problems observed for aggregated Bias Dynamics in Remitted Depression 7 7 mean estimates of covert attentional bias are evident for overt indices of AB (i.e., eye-tracking measurement; Amir et al, in press;Waechter, Nelson, Wright, Hyatt, & Oakman, 2014). Indeed, in anxious adults, Amir et al (in press) found that traditional aggregated mean covert and overt AB scores demonstrated (seemingly) no association and poor psychometrics; whereas the realtime, dynamic expressions of overt and covert attentional processes were significantly coupled from trial-to-trial, and voluntary inhibition of overt attention de-coupled their connection.…”
Section: Attentional Bias Temporal Dynamics In Remitted Depressionmentioning
confidence: 51%
“…Recent studies have demonstrated convergent, incremental, known-group criterion, and predictive validity of the dynamic features of the temporal dynamics of AB, in multiple tasks (e.g., dot probe task, spatial cueing task) for spider phobia, addiction behavior (e.g., smoking rate), social anxiety, PTSD risk (prospectivelongitudinal prediction of PTSD symptom development), as well as PTSD symptom severity and trauma-related behavioral avoidance in highly traumatized refugees (e.g., Bardeen, Tull, Daniel, Evenden, & Stevens, in press;Davis et al, in press;Schäfer et al, in press;Yuval et al, in press;Zvielli et al, 2015; see also Iacoviello et al, 2014;Naim et al, 2015 for related work on attention bias variability in PTSD). These findings are furthermore noteworthy in light of recent studies demonstrating that the same conceptual and methodological problems observed for aggregated Bias Dynamics in Remitted Depression 7 7 mean estimates of covert attentional bias are evident for overt indices of AB (i.e., eye-tracking measurement; Amir et al, in press;Waechter, Nelson, Wright, Hyatt, & Oakman, 2014). Indeed, in anxious adults, Amir et al (in press) found that traditional aggregated mean covert and overt AB scores demonstrated (seemingly) no association and poor psychometrics; whereas the realtime, dynamic expressions of overt and covert attentional processes were significantly coupled from trial-to-trial, and voluntary inhibition of overt attention de-coupled their connection.…”
Section: Attentional Bias Temporal Dynamics In Remitted Depressionmentioning
confidence: 51%
“…In addition, some studies reported very poor reliability estimates of the dot-probe task [45,46] , which might explain the inconsistent findings in the literature. To improve the facial dot-probe task's sensitivity to detect subtle group differences in visual attention, a greater effort is needed to increase its reliability [47] .…”
Section: Discussionmentioning
confidence: 99%
“…It is suggested that the low reliability might, at least in part, be explained by the high variability in response times between individuals (Waechter et al, 2014). Splitting groups of participants in low and high anxious groups does not result in higher reliability scores (Kappenman et al, 2014;Waechter et al, 2014;Waechter & Stolz, 2015).…”
Section: Reliabilitymentioning
confidence: 99%
“…Several studies indeed indicated that individual bias scores are not very stable over time (Brown et al, 2014;Cooper et al, 2011;Enock, Hofmann, & McNally, 2014;Kappenman, Farrens, Luck, & Proudfit, 2014;Schmukle, 2005;Staugaard, 2009;van Bockstaele et al, 2011;Waechter, Nelson, Wright, Hyatt, & Oakman, 2014;Waechter & Stolz, 2015), rendering the method not very suitable for investigating intra-individual differences. It is suggested that the low reliability might, at least in part, be explained by the high variability in response times between individuals (Waechter et al, 2014). Splitting groups of participants in low and high anxious groups does not result in higher reliability scores (Kappenman et al, 2014;Waechter et al, 2014;Waechter & Stolz, 2015).…”
Section: Reliabilitymentioning
confidence: 99%