Dynamic estimation in the extended marginal Rasch model with an application to mathematical computer‐adaptive practice

@article{Brinkhuis2019DynamicEI,
  title={Dynamic estimation in the extended marginal Rasch model with an application to mathematical computer‐adaptive practice},
  author={Matthieu J. S. Brinkhuis and Gunter K. J. Maris},
  journal={The British Journal of Mathematical and Statistical Psychology},
  year={2019},
  volume={73},
  pages={72 - 87}
}
We introduce a general response model that allows for several simple restrictions, resulting in other models such as the extended Rasch model. For the extended Rasch model, a dynamic Bayesian estimation procedure is provided, which is able to deal with data sets that change over time, and possibly include many missing values. To ensure comparability over time, a data augmentation method is used, which provides an augmented person‐by‐item data matrix and reproduces the sufficient statistics of… 
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