Sigert Ariens

Sigert Ariens is a researcher at the Research Group of Quantitative Psychology and Individual Differences at KU Leuven whose work focuses on statistical and methodological challenges in intensive longitudinal research. Ariens has published extensively on small sample bias in autoregressive models, measurement error in multilevel designs, and the estimation of dynamic parameters in psychological research. Ariens's research interests span time series analysis, personalized network models, vector autoregressive modeling, and experience sampling methods, with particular attention to how these approaches can improve the validity and power of psychological investigations. Through this body of work, Ariens contributes to advancing quantitative methods for understanding affect dynamics, emotional processes, and individual differences in longitudinal and dyadic contexts.