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Bejar, Isaac I.; Deane, Paul D.; Flor, Michael; Chen, Jing – ETS Research Report Series, 2017
The report is the first systematic evaluation of the sentence equivalence item type introduced by the "GRE"® revised General Test. We adopt a validity framework to guide our investigation based on Kane's approach to validation whereby a hierarchy of inferences that should be documented to support score meaning and interpretation is…
Descriptors: College Entrance Examinations, Graduate Study, Generalization, Inferences
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Bejar, Isaac I.; Yocom, Peter – Applied Psychological Measurement, 1991
An approach to test modeling is illustrated that encompasses both response consistency and response difficulty. This generative approach makes validation an ongoing process. An analysis of hidden figure items with 60 high school students supports the feasibility of the method. (SLD)
Descriptors: Construct Validity, Difficulty Level, Evaluation Methods, High School Students
Enright, Mary K.; Bejar, Isaac I. – 1989
In this study, the ability of test development staff to predict the difficulty of analogy items was explored. The nature of the item attributes that contributed to test writers' predictions of difficulty as well as actual item difficulty was also investigated. The two expert test writers studied were quite good at predicting item difficulty. Item…
Descriptors: Analogy, Construct Validity, Difficulty Level, Models
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Williamson, David M.; Bejar, Isaac I.; Hone, Anne S. – Journal of Educational Measurement, 1999
Contrasts "mental models" used by automated scoring for the simulation division of the computerized Architect Registration Examination with those used by experienced human graders for 3,613 candidate solutions. Discusses differences in the models used and the potential of automated scoring to enhance the validity evidence of scores. (SLD)
Descriptors: Architects, Comparative Analysis, Computer Assisted Testing, Judges
Bejar, Isaac I. – 1991
Response generative modeling (RGM) is an approach to psychological measurement that involves a "grammar" capable of assigning a psychometric description to every item in a universe of items and is capable of generating all the items in that universe. The article discusses the rationale behind RMG and its roots, explores how it relates to…
Descriptors: Educational Assessment, Item Response Theory, Measurement Techniques, Models