Integrating Dynamic Modeling and Psychometrics in Mental Health Research
A Special Issue of Behavioral Sciences (ISSN 2076-328X).
Deadline for manuscript submissions: 15 March 2027 | Viewed by 85
Editors
Interests: dynamical system analysis; clustering of intensive longitudinal data; psychometrics; mental health
Interests: time-series analysis; dynamic models; EMAs from wearables and electrocardiograms
Special Issue Information
Dear Colleagues,
Traditional psychometric approaches often treat mental health as a collection of static latent traits. However, mental disorders are inherently dynamic, characterized by fluctuating symptom networks, feedback loops, and time-varying states. The rise of Intensive Longitudinal Data (ILD), often captured through ecological momentary assessment (EMA) and wearable sensors, offers a transformative opportunity to re-examine psychological constructs as complex, evolving systems.
This Special Issue aims to showcase research that bridges the gap between advanced statistical modeling and psychometric theory in mental health research. We seek contributions that move beyond descriptive time-series to develop and validate dynamic models that account for within-person variability, idiographic processes, and real-time prediction. Potential topics include, but are not limited to, Dynamic Structural Equation Modeling (DSEM), continuous-time models, network psychometrics, digital phenotyping, and the integration of machine learning with latent variable modeling.
By synthesizing these methodologies, this Special Issue seeks to advance a more nuanced, personalized framework for diagnosis and intervention. We invite a broad range of article types, including original research, methodological developments, and comprehensive reviews that push the boundaries of how we measure, model, and treat mental health in a digital age.
Dr. Hairong Song
Dr. Meng Chen
Dr. Rohit Batra
Guest Editors
Manuscript Submission Information
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Keywords
- dynamic psychometrics
- intensive longitudinal data (ILD)
- network analysis
- ecological momentary assessment (EMA)
- dynamic structural equation modeling (DSEM)
- within-person variability
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