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The British Journal of Mathematical and Statistical Psychology|November 23, 2020
Accounting for auto-dependency in binary dyadic time series data: A comparison of model- and permutation-based approaches for testing pairwise associationsNadja Bodner, Francis Tuerlinckx, Guy Bosmans, et al.Journal of Autism and Developmental Disorders|May 12, 2023
Sensory Processing and Executive Functioning in Autistic AdultsMichelle Kiep, Annelies Spek, Eva Ceulemans, et al.Emotion (Washington, D.C.)|February 24, 2015
The role of valence focus and appraisal overlap in emotion differentiationYasemin Erbas, Eva Ceulemans, Peter Koval, et al.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.Pageof 14