“…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).…”