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Liu, Ren; Qian, Hong; Luo, Xiao; Woo, Ada – Educational and Psychological Measurement, 2018
Subscore reporting under item response theory models has always been a challenge partly because the test length of each subdomain is limited for precisely locating individuals on multiple continua. Diagnostic classification models (DCMs), providing a pass/fail decision and associated probability of pass on each subdomain, are promising…
Descriptors: Classification, Probability, Pass Fail Grading, Scores
Allen, Jeff; Radunzel, Justine; Moore, Joann – ACT, Inc., 2017
The ACT College Readiness Benchmarks are the ACT scores associated with a 50% chance of earning a B or higher grade in selected first-year credit-bearing courses at a typical postsecondary institution. The Benchmarks were established by linking ACT test scores with grades in first-year college courses from the same subject area. Benchmarks were…
Descriptors: Standard Setting, Probability, Success, Benchmarking
van der Linden, Wim J.; Vos, Hans J.; Chang, Lei – 2000
In judgmental standard setting experiments, it may be difficult to specify subjective probabilities that adequately take the properties of the items into account. As a result, these probabilities are not consistent with each other in the sense that they do not refer to the same borderline level of performance. Methods to check standard setting…
Descriptors: Interrater Reliability, Judges, Probability, Standard Setting
Huynh, Huynh – Educational Measurement: Issues and Practice, 2006
By analyzing the Fisher information allotted to the correct response of a Rasch binary item, Huynh (1994) established the response probability criterion 0.67 (RP67) for standard settings based on bookmarks and item mapping. The purpose of this note is to help clarify the conceptual and psychometric framework of the RP criterion.
Descriptors: Probability, Standard Setting, Item Response Theory, Psychometrics

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