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WARN-D project hub
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Description: This is the project hub for the WARN-D project on building a personalized early warning system for depression (www.WARN-D.com).
Studying can be a stressful time, and some students experience mental health problems such as depression during their education. In this research project, we are building WARN-D, a personalized early warning system for depression.
To do so, we follow 2,000 students living in the Netherlands for 2 years, using smartwatch and smartphones as data collection tools. WARN-D will result in an app similar…
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Citation
Components
00_WARN-D Master Theses
Collection of master theses written with/on the WARN-D data
01_WARN-D Protocol Paper
Protocol paper for WARN-D study (www.WARN-D.com).
03_Item Performance Paper
Contains supplementary materials for the preprint Understanding EMA Data: A Tutorial on Exploring Item Performance in Ecological Momentary Assessment ...
05_Preregistration of Holdout Sample
Preregistration of a holdout sample for exploratory vs predictive work.
06_Sensor Validation Paper
This project contains code and output related to the manuscript "Associations between ecological momentary assessment and passive sensor data in a lar...
07_Assessing the Internal Consistency Reliability of Ecological Momentary Assessment Measures: Insights from the WARN-D Study
Preregistration and supplementary materials of the statistical analysis to estimate the internal consistency reliability of the scales used during sta...
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