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Francis Tuerlinckx [8]F. Tuerlinckx [2]
  1.  20
    Modeling Affect Dynamics: State of the Art and Future Challenges.E. L. Hamaker, E. Ceulemans, R. P. P. P. Grasman & F. Tuerlinckx - 2015 - Emotion Review 7 (4):316-322.
    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 (...)
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  2.  51
    The Dynamic Interplay between Appraisal and Core Affect in Daily Life.Peter Kuppens, Dominique Champagne & Francis Tuerlinckx - 2012 - Frontiers in Psychology 3.
  3.  36
    Intensity profiles of emotional experience over time.Philippe Verduyn, Iven Van Mechelen, Francis Tuerlinckx, Kristof Meers & Hermina Van Coillie - 2009 - Cognition and Emotion 23 (7):1427-1443.
    A full understanding of emotions and emotion characteristics can only be reached when their dynamic nature is taken into account. As such, a primary objective of the present study is to describe and account for variability in temporal profiles of experienced emotional intensity. Participants were asked to make detailed drawings of intensity profiles of recently experienced episodes of anger, sadness, joy and affection. Functional data analysis revealed three features that together accounted for 84% of the total variability: (i) steepness at (...)
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  4.  27
    A Bayesian approach to diffusion process models of decision-making.Joachim Vandekerckhove, Francis Tuerlinckx & Michael Lee - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1429--1434.
  5.  42
    Measuring the crowd within again: a pre-registered replication study.Sara Steegen, Laura Dewitte, Francis Tuerlinckx & Wolf Vanpaemel - 2014 - Frontiers in Psychology 5.
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  6.  16
    The Ising Decision Maker: A binary stochastic network for choice response time.Stijn Verdonck & Francis Tuerlinckx - 2014 - Psychological Review 121 (3):422-462.
  7.  19
    Corrigendum: Measuring the crowd within again: a pre-registered replication study.Sara Steegen, Laura Dewitte, Francis Tuerlinckx & Wolf Vanpaemel - 2015 - Frontiers in Psychology 6.
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  8.  10
    Testing a computational model of subjective well-being: a preregistered replication of Rutledge et al.Niels Vanhasbroeck, Levi Devos, Sebastiaan Pessers, Peter Kuppens, Wolf Vanpaemel, Agnes Moors & Francis Tuerlinckx - forthcoming - Cognition and Emotion:1-14.
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  9.  14
    Factoring out nondecision time in choice reaction time data: Theory and implications.Stijn Verdonck & Francis Tuerlinckx - 2016 - Psychological Review 123 (2):208-218.
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  10.  16
    Biased pain reports through vicarious information: A computational approach to investigate the role of uncertainty.J. Zaman, W. Vanpaemel, C. Aelbrecht, F. Tuerlinckx & J. W. S. Vlaeyen - 2017 - Cognition 169:54-60.
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