Publications
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Factor score path analysis : an alternative for SEM Ghent University
White matter hyperintensities and imaging patterns of brain ageing in the general population Ghent University
A review of R-packages for random-intercept probit regression in small clusters Ghent University
Generalized Linear Mixed Models (GLMMs) are widely used to model clustered categorical outcomes. To tackle the intractable integration over the random effects distributions, several approximation approaches have been developed for likelihood-based inference. As these seldom yield satisfactory results when analyzing binary outcomes from small clusters, estimation within the Structural Equation Modeling (SEM) framework is proposed as an ...
Self-report of empathy: a shortened French adaptation of the interpersonal reactivity index (IRI) using two large Belgian samples Ghent University
What are the most important tasks of tutors during the tutorials in hybrid problem-based learning curricula? Ghent University
Background. In problem-based learning, a tutor, the quality of the problems and group functioning play a central role in stimulating student learning. This study is conducted in a hybrid medical curriculum where problem-based learning is one of the pedagogical approaches. The aim of this study was to examine which tutor tasks are the most important during the tutorial sessions and thus should be promoted in hybrid (and in maybe all) ...
A posteriori dietary patterns: how many patterns to retain? Ghent University
Principal component analysis (PCA) and cluster analysis are used frequently to derive dietary patterns. Decisions on how many patterns to extract are primarily based on subjective criteria, whereas different solutions vary in their food-group composition and perhaps association with disease outcome. Literature on reliability of dietary patterns is scarce, and previous studies validated only 1 preselected solution. Therefore, we assessed ...
Implementing the social relations model in R Ghent University
Lavaan: an R package for structural equation modeling Ghent University
Semisupervised category learning: The impact of feedback in learning the information-integration task Ghent University
In a standard supervised classification paradigm, stimuli are presented sequentially, participants make a classification, and feedback follows immediately. In this article, we use a semisupervised classification paradigm, in which feedback is given after a prespecified percentage of trials only. In Experiment 1, feedback was given in 100%, 0%, 25%, and 50% of the trials. Previous research reported by Ashby, Queller, and Berretty (1999) indicated ...