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Exploring The Usefulness Of Assessing ESM Data Using Dynamic Linear Regression An N-of-1 Study Of The Association Between State Anxiety And State Depression

Bouma, Thomas Pieter (2023) Exploring The Usefulness Of Assessing ESM Data Using Dynamic Linear Regression An N-of-1 Study Of The Association Between State Anxiety And State Depression.

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Abstract:In recent years the call for personalised mental healthcare has led researchers to attempt to understand individuals within their dynamic environments and characteristics by using methods other than traditional cross-sectional research. Experience sampling methods (ESM) make it possible to differentiate the individual from groups by looking at within-person associations instead of between persons on a group level, although this is often not utilized to its full extent. The aim of the study was to explore the usefulness of using dynamic linear regression modelling, a type of time series analysis, using ESM data. In addition the aim was to investigate intra-individual predictions of depressive mood (states) based on anxiety (states) over time
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/96665
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