Auditing the research practices and statistical analyses of the group-level temporal network approach to psychological constructs: A systematic scoping review

Abstract

This is a preprint (version January 19, 2022) of a manuscript that is undergoing peer-review for publication in a scientific journal. Analysis code, data, and supplementary materials can be found in the accompanying Open Science Framework project: https://osf.io/8647n/ TEMPORAL NETWORK APPROACH: A SCOPING REVIEW 2 Author Note

On climate anxiety and the threat it may pose to daily life functioning and adaptation: a study among European and African French-speaking participants

“…Although we aimed at easing the comparison across studies (e.g., Clayton and Karazsia 2020 ; Wullenkord et al 2021 ), such a cross-sectional approach precludes any potential cause-effect relationships between our variables of interest (e.g., Maurage et al, 2013). And this is unfortunate since anxiety-related phenomena, such as the ones described here, fluctuate over time (e.g., Blanchard et al 2022 ; Heeren et al 2015 ). For instance, one may wonder about the temporal unfolding of the relation between climate anxiety’s cognitive-emotional and functional features (e.g., does the onset of functional impairments require the precedence of cognitive and emotional impairments?).…”

A network approach to climate change anxiety and its key related features

“…However, one cannot exclude the existence of other types of cyclicity (e.g., node A→node B→node C→node A; McNally, 2021). Further elucidating the potential bidirectional dependencies between variables would require the application of temporal network analyses on data arising from experience sampling methods (for a review, see Blanchard et al, 2022). Third, our participants were from European countries.…”

An experience sampling measure of the key features of rumination

“…Second, intensive longitudinal data will enable the application of several analysis methods. One promising approach that has gained traction in the last few years is temporal network analysis (for a review, Blanchard et al, 2022). Such explorations could give us insight into how these five distinct components trigger one another within participants over time while simultaneously investigating between-subjects associations.…”