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Direct linkKadengye, Damazo T.; Ceulemans, Eva; Van Den Noortgate, Wim – Journal of Experimental Education, 2015
In educational environments, monitoring persons' progress over time may help teachers to evaluate the effectiveness of their teaching procedures. Electronic learning environments are increasingly being used as part of formal education and resulting datasets can be used to understand and to improve the environment. This study presents…
Descriptors: Electronic Learning, Educational Environment, Longitudinal Studies, Item Response Theory
Wilderjans, Tom; Ceulemans, Eva; Van Mechelen, Iven – Psychometrika, 2008
Often problems result in the collection of coupled data, which consist of different N-way N-mode data blocks that have one or more modes in common. To reveal the structure underlying such data, an integrated modeling strategy, with a single set of parameters for the common mode(s), that is estimated based on the information in all data blocks, may…
Descriptors: Test Items, Simulation, Item Response Theory, Models
Ceulemans, Eva; Van Mechelen, Iven; Leenen, Iwin – Psychometrika, 2007
Hierarchical classes models are quasi-order retaining Boolean decomposition models for N-way N-mode binary data. To fit these models to data, rationally started alternating least squares (or, equivalently, alternating least absolute deviations) algorithms have been proposed. Extensive simulation studies showed that these algorithms succeed quite…
Descriptors: Least Squares Statistics, Data Analysis, Mathematics, Item Response Theory
Hierarchical Classes Models for Three-Way Three-Mode Binary Data: Interrelations and Model Selection
Ceulemans, Eva; Van Mechelen, Iven – Psychometrika, 2005
Several hierarchical classes models can be considered for the modeling of three-way three-mode binary data, including the INDCLAS model (Leenen, Van Mechelen, De Boeck, and Rosenberg, 1999), the Tucker3-HICLAS model (Ceulemans,VanMechelen, and Leenen, 2003), the Tucker2-HICLAS model (Ceulemans and Van Mechelen, 2004), and the Tucker1-HICLAS model…
Descriptors: Test Items, Models, Vertical Organization, Emotional Response
