2023
DOI: 10.1037/met0000623
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Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.

Jingmeng Cui,
Fred Hasselman,
Anna Lichtwarck-Aschoff
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Cited by 4 publications
(2 citation statements)
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“…1 ) to be shallower, making this state easier malleable relatively minor everyday events. Future research could explore this further with recently developed analytical methods that quantify the stability of an attractor state [ 48 ].…”
Section: Discussionmentioning
confidence: 99%
“…1 ) to be shallower, making this state easier malleable relatively minor everyday events. Future research could explore this further with recently developed analytical methods that quantify the stability of an attractor state [ 48 ].…”
Section: Discussionmentioning
confidence: 99%
“…It is important to note that we did not identify specific states, their distribution, or state shifts in a manner that could answer this question. This opens up a potential avenue for exploration in future studies (see, e.g., Cui et al, 2023).…”
Section: Limitations and Future Directionsmentioning
confidence: 99%