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Wyse, Adam E. – Educational Measurement: Issues and Practice, 2020
One commonly used compromise standard-setting method is the Beuk (1984) method. A key assumption of the Beuk method is that the emphasis given to the pass rate and the percent correct ratings should be proportional to the extent that the panelists agree on their ratings. However, whether the slope of Beuk line reflects the emphasis that panelists…
Descriptors: Standard Setting (Scoring), Cutting Scores, Weighted Scores, Evaluation Methods
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Wyse, Adam E. – Applied Measurement in Education, 2020
This article compares cut scores from two variations of the Hofstee and Beuk methods, which determine cut scores by resolving inconsistencies in panelists' judgments about cut scores and pass rates, with the Angoff method. The first variation uses responses to the Hofstee and Beuk percentage correct and pass rate questions to calculate cut scores.…
Descriptors: Cutting Scores, Evaluation Methods, Standard Setting (Scoring), Equations (Mathematics)
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Wyse, Adam E.; Babcock, Ben – Educational Measurement: Issues and Practice, 2020
A common belief is that the Bookmark method is a cognitively simpler standard-setting method than the modified Angoff method. However, a limited amount of research has investigated panelist's ability to perform well the Bookmark method, and whether some of the challenges panelists face with the Angoff method may also be present in the Bookmark…
Descriptors: Standard Setting (Scoring), Evaluation Methods, Testing Problems, Test Items
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Wyse, Adam E. – Measurement: Interdisciplinary Research and Perspectives, 2018
A key part of determining cut-scores when performing Angoff standard setting is utilizing equating methods to place standard-setting ratings onto the scale used to report scores to examinees. This article describes three equating methods that can be employed to place Angoff ratings onto the scale used to report scores to examinees when applying…
Descriptors: Standard Setting (Scoring), Equated Scores, Probability, Regression (Statistics)
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Wyse, Adam E. – Applied Measurement in Education, 2018
An important consideration in standard setting is recruiting a group of panelists with different experiences and backgrounds to serve on the standard-setting panel. This study uses data from 14 different Angoff standard settings from a variety of medical imaging credentialing programs to examine whether people with different professional roles and…
Descriptors: Standard Setting (Scoring), Test Construction, Cutting Scores, Accuracy
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Wyse, Adam E.; Babcock, Ben – Educational Measurement: Issues and Practice, 2017
This article provides an overview of the Hofstee standard-setting method and illustrates several situations where the Hofstee method will produce undefined cut scores. The situations where the cut scores will be undefined involve cases where the line segment derived from the Hofstee ratings does not intersect the score distribution curve based on…
Descriptors: Cutting Scores, Evaluation Methods, Standard Setting (Scoring), Comparative Analysis
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Wyse, Adam E. – Practical Assessment, Research & Evaluation, 2018
One common modification to the Angoff standard-setting method is to have panelists round their ratings to the nearest 0.05 or 0.10 instead of 0.01. Several reasons have been offered as to why it may make sense to have panelists round their ratings to the nearest 0.05 or 0.10. In this article, we examine one reason that has been suggested, which is…
Descriptors: Interrater Reliability, Evaluation Criteria, Scoring Formulas, Achievement Rating
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Wyse, Adam E. – Applied Measurement in Education, 2018
This article discusses regression effects that are commonly observed in Angoff ratings where panelists tend to think that hard items are easier than they are and easy items are more difficult than they are in comparison to estimated item difficulties. Analyses of data from two credentialing exams illustrate these regression effects and the…
Descriptors: Regression (Statistics), Test Items, Difficulty Level, Licensing Examinations (Professions)
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Wyse, Adam E. – Educational Measurement: Issues and Practice, 2015
This article uses data from a large-scale assessment program to illustrate the potential issue of range restriction with the Bookmark method in the context of trying to set cut scores to closely align with a set of college and career readiness benchmarks. Analyses indicated that range restriction issues existed across different response…
Descriptors: Cutting Scores, Alignment (Education), College Readiness, Career Readiness
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Wyse, Adam E.; Bunch, Michael B.; Deville, Craig; Viger, Steven G. – Educational and Psychological Measurement, 2014
This article describes a novel variation of the Body of Work method that uses construct maps to overcome problems of transparency, rater inconsistency, and scores gaps commonly occurring with the Body of Work method. The Body of Work method with construct maps was implemented to set cut-scores for two separate K-12 assessment programs in a large…
Descriptors: Standard Setting (Scoring), Educational Assessment, Elementary Secondary Education, Measurement
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Wyse, Adam E. – Measurement: Interdisciplinary Research and Perspectives, 2013
Construct maps are tools that display how the underlying achievement construct upon which one is trying to set cut-scores is related to other information used in the process of standard setting. This article reviews what construct maps are, uses construct maps to provide a conceptual framework to view commonly used standard-setting procedures (the…
Descriptors: Standard Setting (Scoring), Maps, Cutting Scores, Methods
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Wyse, Adam E. – Educational and Psychological Measurement, 2011
Standard setting is a method used to set cut scores on large-scale assessments. One of the most popular standard setting methods is the Bookmark method. In the Bookmark method, panelists are asked to envision a response probability (RP) criterion and move through a booklet of ordered items based on a RP criterion. This study investigates whether…
Descriptors: Testing Programs, Standard Setting (Scoring), Cutting Scores, Probability