Predicting responses from Rasch measures.

@article{Linacre2010PredictingRF,
  title={Predicting responses from Rasch measures.},
  author={John Michael Linacre},
  journal={Journal of applied measurement},
  year={2010},
  volume={11 1},
  pages={1-10}
}
There is a growing family of Rasch models for polytomous observations. Selecting a suitable model for an existing dataset, estimating its parameters and evaluating its fit is now routine. Problems arise when the model parameters are to be estimated from the current data, but used to predict future data. In particular, ambiguities in the nature of the current data, or overfit of the model to the current dataset, may mean that better fit to the current data may lead to worse fit to future data… CONTINUE READING

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