Resources and Tools
statistics
methodology & design
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Sedentary triggered EMA: A methodological advancement for the assessment of contextual information of sedentary behavior in daily life.
in Journal of Medical Internet Research MHealth and uHealth preprint
https://doi.org/10.2196/17852
recent studies
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Sedentary triggered EMA: A methodological advancement for the assessment of contextual information of sedentary behavior in daily life.
in Journal of Medical Internet Research MHealth and uHealth preprint
https://doi.org/10.2196/17852
Society for Ambulatory Assessment
Ambulatory Assessment comprises the use of field methods to assess the ongoing behavior, physiology, experience and environmental aspects of people in naturalistic or unconstrained settings. Ambulatory Assessment uses ecologically-valid tools to understand biopsychosocial processes as they unfold naturally in time and in context.
Ambulatory Assessment in Psychopathology Research
A Review of Recommended Reporting Guidelines and Current Practices (Trull & Ebner-Priemer)
- Guidelines for Best Practices
- Review of Published Studies (2012–2018)
- Recommendations for Future Studies
Shinyapps
Accelerometer Data Overview and Comparison
- Compare accelerometer metrics and sensor locations across 32 activities.
- View averages and standard deviations for each metric/activity combination.
- Data collected from 20 participants, measuring body posture and sedentary behavior.
Multidimensional Mood State Questionnaire
(MDBF)
Comprehensive Tool for Assessing Mood Dimensions
- Holistic Mood Assessment
- Flexible Formats
- Validated for Research and Practice
Mental mHealth Lab / Applied Psychology
The mental mHealth Lab, headed by Ulrich Ebner-Priemer, is a leading institution on mHealth approaches for mental disorders. Our work is characterized by its methodological focus on Ambulatory Assessment (sometimes also called EMA, ESM or digital phenotyping). Covered by national and international grants, we provide the technological mHealth framework, real-time compliance monitoring, and expertise on data analyses for multiple studies which naturally in time and in context.
Wearable Landscape
The project Wearable Landscape is an open-science initiative aiming to highlight the important value of validation processes of wearables for the assessment of 24-hour physical behavior (i.e., sleep, sedentary behavior, and physical activity). This initiative is a non-funded project and is currently driven solely by the intrinsic motivation of the project team.