Assessing the distinguishability of models and the informativeness of data.

@article{Navarro2004AssessingTD,
  title={Assessing the distinguishability of models and the informativeness of data.},
  author={Daniel J. Navarro and Mark A. Pitt and In Jae Myung},
  journal={Cognitive psychology},
  year={2004},
  volume={49 1},
  pages={47-84}
}
A difficulty in the development and testing of psychological models is that they are typically evaluated solely on their ability to fit experimental data, with little consideration given to their ability to fit other possible data patterns. By examining how well model A fits data generated by model B, and vice versa (a technique that we call landscaping), much safer inferences can be made about the meaning of a model's fit to data. We demonstrate the landscaping technique using four models of… CONTINUE READING