Search results
Results: 223
Number of items: 223
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Chow, S.-M., Lee, J., Hofman, A. D., van der Maas, H. L. J., Pearl, D. K., & Molenaar, P. C. M. (2022). Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application. Psychometrika, 87(2), 559–592. https://doi.org/10.1007/s11336-021-09829-3 -
Bringmann, L. F., Albers, C., Bockting, C., Borsboom, D., Ceulemans, E., Cramer, A., Epskamp, S., Eronen, M. I., Hamaker, E., Kuppens, P., Lutz, W., McNally, R. J., Molenaar, P., Tio, P., Voelkle, M. C., & Wichers, M. (2022). Psychopathological networks: Theory, methods and practice. Behaviour Research and Therapy, 149, Article 104011. https://doi.org/10.1016/j.brat.2021.104011 -
van Rijn, P., Dolan, C. V., & Molenaar, P. C. M. (2010). State space methods for item response modeling of multisubject time series. In P. C. M. Molenaar, & K. M. Newell (Eds.), Individual pathways of change: statistical models for analyzing learning and development (pp. 125-151). American Psychological Press.
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Visser, I., Raijmakers, M. E. J., & Molenaar, P. C. M. (2007). Characterizing sequence knowledge using online measures and hidden Markov models. Memory & Cognition, 35, 1502-1517. https://doi.org/10.3758/BF03193619
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Waldorp, L. J., Huizenga, H. M., Grasman, R. P. P. P., Böcker, K. B. E., & Molenaar, P. C. M. (2006). Hypothesis testing in distributed source models for EEG and MEG data. Human Brain Mapping, 27, 114-128. https://doi.org/10.1002/hbm.20170
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Hamaker, E. L., Dolan, C. V., & Molenaar, P. C. M. (2005). Statistical modeling of the individual: Rationale and application of multivariate stationary time series analysis. Multivariate Behavioral Research, 40, 207-233. https://doi.org/10.1207/s15327906mbr4002_3
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