2021
DOI: 10.1016/j.jecp.2020.105011
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Intraindividual reaction time variability as an index of attentional control acts as a moderator of the longitudinal relationships between marital quality and children’s externalizing problems

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Cited by 10 publications
(6 citation statements)
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“…IIRTV is the relatively short-term trial-to-trial reaction time fluctuation within individuals when performing a given cognitive task (Weissman et al, 2006). IIRTV is considered an effective indicator of attentional control in many previous studies since it can manifest the efficiency and steadiness of attentional maintenance of specific goals in continuous attentional processes (Adleman et al, 2016;Esterman et al, 2013;Isbell et al, 2018;Kofler et al, 2013;Peng et al, 2021).…”
Section: Inhibitory Control Iirtv and Aggressive Behaviors In Childrenmentioning
confidence: 99%
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“…IIRTV is the relatively short-term trial-to-trial reaction time fluctuation within individuals when performing a given cognitive task (Weissman et al, 2006). IIRTV is considered an effective indicator of attentional control in many previous studies since it can manifest the efficiency and steadiness of attentional maintenance of specific goals in continuous attentional processes (Adleman et al, 2016;Esterman et al, 2013;Isbell et al, 2018;Kofler et al, 2013;Peng et al, 2021).…”
Section: Inhibitory Control Iirtv and Aggressive Behaviors In Childrenmentioning
confidence: 99%
“…Greater IIRTV has been usually found to be associated with a broad array of externalizing spectrum behaviors that are considered to indicate a lack of adequate regulation of attention and impulses (Ilbegi et al, 2021;Olson et al, 2011;Peng et al, 2021;Privodnova et al, 2020).…”
Section: Inhibitory Control Iirtv and Aggressive Behaviors In Childrenmentioning
confidence: 99%
See 2 more Smart Citations
“…Wearable devices also contribute to this feasibility (Ometov et al, 2021), as does increasing access to the digital breadcrumbs of everyday life created through online browsing and computer-mediated communication Lydon-Staley, Barnett et al, 2019;Torous et al, 2017). Relevant, too, is the appreciation that intensive repeated measures data are abundant in traditional forms of data collection, found by considering single trials on reaction time tasks (Peng et al, 2021) or by zooming into brain signal fluctuations on the level of seconds (Sajda et al, 2012) instead of aggregating such data at minute and hour levels. In parallel to the increased accessibility of intensive repeated measures data, analytic methods to study dynamics are becoming more prevalent in the field, including multilevel models (e.g., , time series models (e.g., Ariens et al, 2020), network models (e.g., Beltz & Gates, 2017), dynamic structural equation models (e.g., , and growth models (e.g., Grimm et al, 2016).…”
Section: Conceptualizing and Examining Dynamics In Communication Rese...mentioning
confidence: 99%