Models and visual explanations for interdependent observations, partner effects, and relational processes.
Pascal Kueng.
Investigating dyadic data, intensive longitudinal designs, and interpretable empirical evidence.
Research Focus
Methods shaped by
theoretical questions.
Design and analysis of repeated-measures data, including EMA, bursts, and within-person change.
Work that connects substantive theory to measurement, model choice, and interpretable evidence.
Selected Work
Highlighting dyadic health behavior change.
Peer-Reviewed
Health-related social control in romantic couples
My core research investigates daily associations of social control with physical activity and affect in couples. Published in British Journal of Health Psychology, Psychology & Health, and Annals of Behavioral Medicine.
R Package
wbCorr: Within- and between-cluster correlations
An R package designed to cleanly compute bivariate within- and between-cluster correlations, a common requirement in intensive longitudinal and dyadic data analysis.
Methods Demos
Visualizing multilevel models.
When teaching intensive longitudinal methods and EMA, visualizing what random intercepts and slopes actually mean helps bridge the gap between equations and intuition. Play with the parameters below.
Parameters
Contact
Let's
connect.
Interested in collaboration or have questions about dyadic data analysis? My inbox is open.
© 2026 Pascal Kueng. All rights reserved.