Sigert Ariens

Sigert Ariens is a researcher in the Research Group of Quantitative Psychology and Individual Differences at KU Leuven. Ariens works on the methodology of intensive longitudinal data, with particular attention to time series analysis, autoregressive models, and experience-sampling designs. Much of this work addresses practical problems in applying these methods, including small sample bias in AR(1) models, collinearity in autoregressive frameworks, and the relationship between measurement error and statistical power in multilevel models. Ariens also works on idiographic psychological networks, moderated network models, and computational approaches to affect dynamics.