Cut-Score Operating Function Extensions: Penalty-Based Errors and Uncertainty in Standard Settings. Issue 7 (October 2021)

• Record Type: Journal Article
• Authors: Grabovsky, Irina; Pace, Jesse; Runyon, Christopher
• Is Part Of: Applied psychological measurement. Volume 45:Issue 7/8(2021)
• Page Start: 536
• Page End: 550
• Publication Date: 2021-10
• Subjects: Psychometrics -- Periodicals; Psychological tests -- Periodicals; Psychology, Applied -- Periodicals; 150.1519505
• DOI: 10.1177/01466216211046896
• Languages: English
• ISSNs: 0146-6216

Abstract

We model pass/fail examinations aiming to provide a systematic tool to minimize classification errors. We use the method of cut-score operating functions to generate specific cut-scores on the basis of minimizing several important misclassification measures. The goal of this research is to examine the combined effects of a known distribution of examinee abilities and uncertainty in the standard setting on the optimal choice of the cut-score. In addition, we describe an online application that allows others to utilize the cut-score operating function for their own standard settings.