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Psychological Methods|December 3, 2020
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groupsKim De Roover, Jeroen K Vermunt, Eva CeulemansCognition & Emotion|June 5, 2026
Remembering affect between moments: assessing peak-end effects in continuous affect measuresLeonie Cloos, Wolf Vanpaemel, Eva Ceulemans, et al.Behavior Research Methods|April 28, 2023
Real-time detection of mean and variance changes in experience sampling data: A comparison of existing and novel statistical process control approachesEvelien Schat, Francis Tuerlinckx, Bart De Ketelaere, et al.Psychology and Aging|January 21, 2015
Older adults' affective experiences across 100 days are less variable and less complex than younger adults'Annette Brose, Kim de Roover, Eva Ceulemans, et al.Behavior Research Methods|November 22, 2013
A generalized longitudinal mixture IRT model for measuring differential growth in learning environmentsDamazo T Kadengye, Eva Ceulemans, Wim Van den NoortgateBehavior Research Methods|January 12, 2013
CHull as an alternative to AIC and BIC in the context of mixtures of factor analyzersKirsten Bulteel, Tom F Wilderjans, Francis Tuerlinckx, et al.Journal of Experimental Child Psychology|March 4, 2015
Profiles of children's arithmetic fact development: a model-based clustering approachKiran Vanbinst, Eva Ceulemans, Pol Ghesquière, et al.Emotion (Washington, D.C.)|May 5, 2025
The interplay between momentary experienced and verbally expressed negative affect within interactionsOtto Versyp, Eva Ceulemans, Andrea B Horn, et al.BMC Bioinformatics|March 29, 2018
Obtaining insights from high-dimensional data: sparse principal covariates regressionKatrijn Van Deun, Elise A V Crompvoets, Eva CeulemansPsychologica Belgica|July 1, 2024
A Comparison of Measures for Assessing Profile Similarity in DyadsChiara Carlier, Julian D Karch, Peter Kuppens, et al.Pageof 15