Pascal Kueng
Postdoctoral Researcher @ UZH

Pascal Kueng.

Investigating dyadic data, intensive longitudinal designs, and interpretable empirical evidence.

Theory
Data
Methods
Evidence
01 —

Research Focus

Methods shaped by theoretical questions.

Models and visual explanations for interdependent observations, partner effects, and relational processes.

APIMinterdependencerelational structure

Design and analysis of repeated-measures data, including EMA, bursts, and within-person change.

EMAtimewithin-person

Work that connects substantive theory to measurement, model choice, and interpretable evidence.

theorymeasurementinterpretation
02 —

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.

03 —

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

Fixed effects line
10 simulated individuals
Y=(B04.0+u0iB01.0)+(B10.40+u1iB10.20)XY = (\overset{\color{#60A5FA}{\phantom{-}4.0}}{\color{#60A5FA}{B_0}} + \overset{\color{#93C5FD}{1.0}}{\color{#93C5FD}{u_{0i}\vphantom{B_0}}}) + (\overset{\color{#FB7185}{\phantom{-}0.40}}{\color{#FB7185}{B_1}} + \overset{\color{#FDA4AF}{0.20}}{\color{#FDA4AF}{u_{1i}\vphantom{B_1}}})X
Cor(u0,u1)=ρ0.50\text{Cor}(u_{0}, u_{1}) = \overset{\color{#C084FC}{\phantom{-}0.50}}{\color{#C084FC}{\rho}}
DAY (X)YFixed Effects
04 —

Contact

Let's
connect.

Interested in collaboration or have questions about dyadic data analysis? My inbox is open.

© 2026 Pascal Kueng. All rights reserved.