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Investigating the short-term predictability of psychological distress by mental well-being in individuals using N-of-1 analysis of observational data collected in an experience sampling study

Kirschner, Jonas Lion (2023) Investigating the short-term predictability of psychological distress by mental well-being in individuals using N-of-1 analysis of observational data collected in an experience sampling study.

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Abstract:Previous research examining the relationship between well-being and distress suggests that they are associated yet distinct constructs. However, most studies have focused on either concurrent associations or long-term predictive relationships at the group level, neglecting the short-term predictability of well-being on distress at the individual level. Data from four university students previously participating in a two-week experience sampling study were selected for n-of-1 analyses as proposed by McDonald et al. (2020) to investigate the short-term predictability of distress by well-being within individuals. Momentary self-reports of well-being and distress were collected three times per day. The variables were examined through visual inspection of individual scatter plots, variability and stationarity assessments, and autocorrelation analyses to develop dynamic regression models which control for time trends and autocorrelation structures in the data. The results showed that well-being did not significantly predict anxiety or depression for any of the four participants, suggesting the absence of a short-term predictability at the individual level. This can have important implications for research and practice as it questions the role well-being plays, for example, in positive psychology interventions.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/96558
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