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Results: 20
Number of items: 20
  • Maris, G., Schmittmann, V. D., & Borsboom, D. (2010). Who needs linear equating under the NEAT design? Measurement, 8, 11-15. https://doi.org/10.1080/15366361003684653
  • Open Access
    Schmittmann, V. D. (2009). A model-based analysis of the development of learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Schmittmann, V., & Raijmakers, M. E. J. (2007). Development of reversal shift learning. An individual differences analysis. In 2007 IEEE 6th International Conference on Development and Learning, ICDL IEEE.
  • Visser, I., Schmittmann, V., & Raijmakers, M. E. J. (2007). Markov process models for discrimination learning. In K. van Montford, J. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 337-365). Lawrence Erlbaum Associates.
  • 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
  • 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
  • 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
  • Schmittmann, V., Dolan, C. V., van der Maas, H. L. J., & Neale, M. C. (2005). Discrete latent Markov models for normally distributed response data. Multivariate Behavioral Research, 4, 461-484.
  • 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.
  • 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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