About

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I coordinate and teach quantitative methods courses for undergraduate and graduate psychology students at the Department of Psychology, NTNU:

My teaching emphasizes conceptual understanding of statistical ideas alongside their applied, computational implementation — from foundational regression, t-tests and ANOVA through to structural equation modelling and the analysis of longitudinal and intensive longitudinal data. See the Teaching page for the full overview, and browse worked examples and tutorials on Quant Posts.

Two threads run through my work: i) the development and testing of quantitative methods, and ii) their application to understanding loneliness, social isolation and reconnection, resilience processes and outcomes, and metacognitive processes and emotional disorders.

The main line is my RESLON Lab. A substantive/theoretical research on the daily dynamics of loneliness, isolation and reconnection, using intensive longitudinal (daily-diary) designs and dynamic structural equation modelling, building on earlier work that mapped the nomological network of loneliness and its links with metacognitive beliefs, worry and mental health. Alongside RESLON, I contribute to related substantive projects on resilience and mental health among Norwegian Afghanistan veterans, school-based resilience and wellbeing interventions (UPRIGHT, Thrive), Machiavellianism and corruption perception in Ghana, and housing stability following homelessness in Canada.

The second, methodological, line develops and stress-tests the quantitative methods this work depends on: Monte Carlo simulation studies of the Reliable Change Index and of non-normal mixture models, alongside broader expertise in panel and intensive longitudinal data analysis, structural equation modelling (SEM) and hierarchical linear modelling (HLM), uncovering subtle patterns in complex data and informing more reliable measurement of individual change.

See Projects and Publications for more on both lines.

I welcome enquiries from prospective Bachelor’s and Master’s students, PhD candidates, and postdoctoral researchers interested in resilience, loneliness, social isolation and reconnection, or in methodological questions around measuring change and modelling non-normal data. If that sounds like you, send me a half-to-one-page description of your project idea, including the question, relevant background, and how it connects to my research lines and let’s discuss supervision.

Contact me to get started.