A Comparison of Four Item-Selection Methods for Severely Constrained CATs

@inproceedings{He2013ACO,
  title={A Comparison of Four Item-Selection Methods for Severely Constrained CATs},
  author={Wei He and Qi Diao and Carl Hauser},
  year={2013}
}
This study compares the four existing procedures handling the item selection in severely constrained computerized adaptive tests (CAT). These procedures include weighted deviation model (WDM), weighted penalty model (WPM), maximum priority index (MPI), and shadow test approach (STA). Severely constrained CAT refer to those adaptive tests seeking to meet a complex set of content constraints simultaneously, acknowledging that an item usually carries multiple attributes that are inclusive to each… CONTINUE READING

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