Title | Bayesian identification of outliers in computerized adaptive testing |
Publication Type | Journal Article |
Year of Publication | 1998 |
Authors | Bradlow, ET, Weiss, RE, Cho, M |
Journal | Journal of the American Statistical Association |
Volume | 93 |
Number | 443 |
Pagination | 910-919 |
Publication Language | eng |
Abstract | We consider the problem of identifying examinees with aberrant response patterns in a computerized adaptive test (CAT). The vec-tor of responses yi of person i from the CAT comprise a multivariate response vector. Multivariate observations may be outlying in manydi erent directions and we characterize speci c directions as corre- sponding to outliers with different interpretations. We develop a class of outlier statistics to identify different types of outliers based on a con-trol chart type methodology. The outlier methodology is adaptable to general longitudinal discrete data structures. We consider several procedures to judge how extreme a particular outlier is. Data from the National Council Licensure EXamination (NCLEX) motivates our development and is used to illustrate the results. |