Pascal Küng

Postdoctoral researcher in Applied Social and Health Psychology at the University of Zurich.

Portrait of Pascal Küng

Selected work

SoftwareResearch article

About

My research examines how social processes in close relationships, such as social control and social support, relate to health and well-being, particularly through health behaviours such as physical activity. Using dyadic intensive longitudinal methods—including ecological momentary assessment (EMA)—and experimental approaches such as dyadic just-in-time adaptive interventions (JITAIs), I study how these processes unfold over time and through which mechanisms.

I also develop statistical methods, open-source R tools, and teaching materials for dyadic and intensive longitudinal research. At the University of Zurich, I teach mHealth and ambulatory assessment, and I teach workshops on dyadic data analysis, including at the Charité – Universitätsmedizin Berlin Summer School. I am also a core group member of the IRH Collaborative and designed and maintain its website.

Peer-reviewed publications

First-authored

  1. Küng, P., Bierbauer, W., Berli, C., Höhener, P. S., Lüscher, J., Bermudez, T., Banik, A., Łuszczyńska, A., & Scholz, U. (2026). Does preference for self-reliance moderate associations of health-related social control with physical activity and smoking cessation? Two intensive longitudinal studies. British Journal of Health Psychology, 31(2), Article e70082. https://doi.org/10.1111/bjhp.70082

  2. Küng, P., Höhener, P. S., Allen, J. M., Tobias, R., & Scholz, U. (2026). Daily associations of three types of social control with physical activity, reactance, and mood in romantic couples: A dyadic intensive longitudinal study. Psychology & Health, 1–25. https://doi.org/10.1080/08870446.2026.2620453

  3. Küng, P., Berli, C., Höhener, P. S., Tobias, R., & Scholz, U. (2025). Health-related social control in overweight romantic couples: Daily associations with physical activity and affect for targets and agents. Annals of Behavioral Medicine, 59(1), Article kaae093. https://doi.org/10.1093/abm/kaae093

Co-authored

  1. Höhener, P. S., Tobias, R., Allen, J. M., Küng, P., & Scholz, U. (2026). Effectiveness of smartphone-based dyadic interventions to increase physical activity in romantic couples: Microrandomized trial. JMIR mHealth and uHealth, 14, Article e67136. https://doi.org/10.2196/67136

  2. Höhener, P. S., Lüscher, J., Tobias, R., Küng, P., & Scholz, U. (2025). Investigating the association between companionship and behavior concordance: A dyadic panel study. Personal Relationships, 32(2), Article e70005. https://doi.org/10.1111/pere.70005

More research outputs on ORCID

Open-source software and teaching materials

dyadMLM

dyadMLM is an R package for preparing and checking cross-sectional and intensive longitudinal dyadic data for linear and generalized linear mixed-effects models. It supports the Actor–Partner Interdependence Model, Dyad–Individual Model, and Dyadic Score Model parameterizations and provides post-estimation tools. Models are fitted with packages such as glmmTMB or brms.

Suggested citationKüng, P. (2026). dyadMLM: Tools for dyadic multilevel models (Version 0.2.0) [R package]. https://doi.org/10.5281/zenodo.22047083