Convergence between cluster analysis and the Angoff method for setting minimum passing scores on credentialing examinations.

@article{Hess2007ConvergenceBC,
  title={Convergence between cluster analysis and the Angoff method for setting minimum passing scores on credentialing examinations.},
  author={Brian J. Hess and Raja G Subhiyah and Carolyn Giordano},
  journal={Evaluation & the health professions},
  year={2007},
  volume={30 4},
  pages={362-75}
}
Cluster analysis can be a useful statistical technique for setting minimum passing scores on high-stakes examinations by grouping examinees into homogenous clusters based on their responses to test items. It has been most useful for supplementing data or validating minimum passing scores determined from expert judgment approaches, such as the Ebel and Nedelsky methods. However, there is no evidence supporting how well cluster analysis converges with the modified Angoff method, which is… CONTINUE READING