Testing models of decision making using confidence ratings in classification.

@article{Balakrishnan1996TestingMO,
  title={Testing models of decision making using confidence ratings in classification.},
  author={J. D. Balakrishnan and Roger Ratcliff},
  journal={Journal of experimental psychology. Human perception and performance},
  year={1996},
  volume={22 3},
  pages={615-33}
}
Classification implies decision making (or response selection) of some kind. Studying the decision process using a traditional signal detection theory analysis is difficult for two reasons: (a) The model makes a strong assumption about the encoding process (normal noise), and (b) the two most popular decision models, optimal and distance-from-criterion models, can mimic each other's predictions about performance level. In this article, the authors show that by analyzing certain distributional… CONTINUE READING