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Wyse, Adam E.; Anderson, Dan – Educational Measurement: Issues and Practice, 2020
Pass rates are key assessment statistics which are calculated for nearly all high-stakes examinations. In this article, we define the terminal, first attempt, total attempts, and repeat attempts pass rates, and discuss the uses of each statistic. We also explain why in many situations one should expect the terminal pass rate to be the highest,…
Descriptors: High Stakes Tests, Pass Fail Grading, Credentials, Radiology
Feinberg, Richard A. – Educational Measurement: Issues and Practice, 2021
Unforeseen complications during the administration of large-scale testing programs are inevitable and can prevent examinees from accessing all test material. For classification tests in which the primary purpose is to yield a decision, such as a pass/fail result, the current study investigated a model-based standard error approach, Bayesian…
Descriptors: High Stakes Tests, Classification, Decision Making, Bayesian Statistics

Geisinger, Kurt F. – Educational Measurement: Issues and Practice, 1991
Ways to use standard-setting data to adjust cutoff scores on examinations are reviewed. Ten sources of information to be used in determining standards are listed. The decision to modify passing scores should be based on these types of information and consideration of adverse impact or rating process irregularities. (SLD)
Descriptors: Cutting Scores, Evaluation Utilization, Evaluators, Interrater Reliability

Cizek, Gregory J. – Educational Measurement: Issues and Practice, 1996
This National Council on Measurement in Education module describes standard setting for achievement measures used in education, licensure, and certification. The purposes, design, and conduct of standard-setting procedures are reviewed, and ways to calculate a cutting score are demonstrated. A self-test and annotated bibliography are included.…
Descriptors: Academic Achievement, Achievement Tests, Certification, Cutting Scores
de Champlain, Andre F.; Winward, Marcia L.; Dillon, Gerard F.; de Champlain, Judy E. – Educational Measurement: Issues and Practice, 2004
The purpose of this article was to model United States Medical Licensing Examination (USMLE) Step 2 passing rates using the Cox Proportional Hazards Model, best known for its application in analyzing clinical trial data. The number of months it took to pass the computer-based Step 2 examination was treated as the dependent variable in the model.…
Descriptors: Data Analysis, Certification, School Location, Medical Schools