Modeling Affect Dynamics: State of the Art and Future Challenges

Ellen L. Hamaker · Eva Ceulemans · Raoul P. P. P. Grasman · Francis Tuerlinckx

214 citations0/0 files storedEmotion Review

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Mental Health Research Topics Statistical Methods and Bayesian Inference Emotion and Mood Recognition

Abstract

The current article aims to provide an up-to-date synopsis of available techniques to study affect dynamics using intensive longitudinal data (ILD). We do so by introducing the following eight dichotomies that help elucidate what kind of data one has, what process aspects are of interest, and what research questions are being considered: (1) single- versus multiple-person data; (2) univariate versus multivariate models; (3) stationary versus nonstationary models; (4) linear versus nonlinear models; (5) discrete time versus continuous time models; (6) discrete versus continuous variables; (7) time versus frequency domain; and (8) modeling the process versus computing descriptives. In addition, we discuss what we believe to be the most urging future challenges regarding the modeling of affect dynamics.

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References

2002Diary Methods: Capturing Life as it is Lived 2012Handbook of research methods for studying daily life 2013Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research 2005The Tie That Binds? Coherence Among Emotion Experience, Behavior, and Physiology.2012Ambulatory Assessment 2011Deconstructing the construct: A network perspective on psychological phenomena 2010Emotional Inertia and Psychological Maladjustment 2005A systems approach to appraisal mechanisms in emotion

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2016Changing dynamics: Time-varying autoregressive models using generalized additive modeling.2015Interpersonal Affect Dynamics: It Takes Two (and Time) to Tango 2019Foundations of idiographic methods in psychology and applications for psychotherapy 2015It’s About Time: A Special Section on Affect Dynamics 2020The current status of temporal network analysis for clinical science: Considerations as the paradigm shifts?2018

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