Search results
Results: 20
Number of items: 20
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Schmittmann, V. D., Dolan, C. V., Raijmakers, M. E. J., & Batchelder, W. H. (2010). Parameter identification in multinomial processing tree models. Behavior Research Methods, 42(3), 836-846. https://doi.org/10.3758/BRM.42.3.836
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Schmittmann, V., Visser, I., & Raijmakers, M. E. J. (2006). Multiple learning modes in the development of performance on a rule-based category-learning task. Neuropsychologia, 44, 2079-2091. https://doi.org/10.1016/j.neuropsychologia.2005.12.011
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Hamel, R., & Schmittmann, V. (2006). The 20-Minute Version as a predictor of the Raven Advanced Progressive Matrices Test. Educational and Psychological Measurement, 66, 1039-1046. https://doi.org/10.1177/0013164406288169
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Dolan, C. V., Schmittmann, V., Neale, M. C., & Lubke, G. H. (2005). Regime switching in the latent growth curve mixture model. Structural Equation Modeling, 12, 94-119. https://doi.org/10.1207/s15328007sem1201_5
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Schmittmann, V., Raijmakers, M. E. J., & Visser, I. (2005). Multiple Learning Modes in the Development of Rule-Based Category-learning Task Performance. In B. Hommel, G. P. H. Band, W. La Heij, & G. Wolters (Eds.), Fourteenth Conference of the European Society for Cognitive Psychology: Proceedings Leiden University.
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Dolan, C. V., & Schmittmann, V. (2003). The latent Markov model for normally distributed data specified as a constrained normal pixture. In H. J. Adèr, & G. J. Mellenbergh (Eds.), Proceedings of the second workshop on research methodology (pp. 29-34). Free University, Institute for Research in External methodology.
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