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Kam, Chester Chun Seng – Educational and Psychological Measurement, 2023
When constructing measurement scales, regular and reversed items are often used (e.g., "I am satisfied with my job"/"I am not satisfied with my job"). Some methodologists recommend excluding reversed items because they are more difficult to understand and therefore engender a second, artificial factor distinct from the…
Descriptors: Test Items, Difficulty Level, Test Construction, Construct Validity
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Veldkamp, Bernard P. – Journal of Educational Measurement, 2016
Many standardized tests are now administered via computer rather than paper-and-pencil format. The computer-based delivery mode brings with it certain advantages. One advantage is the ability to adapt the difficulty level of the test to the ability level of the test taker in what has been termed computerized adaptive testing (CAT). A second…
Descriptors: Computer Assisted Testing, Reaction Time, Standardized Tests, Difficulty Level
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Partchev, Ivailo; De Boeck, Paul; Steyer, Rolf – Assessment, 2013
An old issue in psychological assessment is to what extent power and speed each are measured by a given intelligence test. Starting from accuracy and response time data, an approach based on posterior time limits (cut-offs of recorded response time) leads to three kinds of recoded data: time data (whether or not the response precedes the cut-off),…
Descriptors: Psychological Testing, Intelligence Tests, Time, Item Response Theory
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Wang, Wen-Chung; Jin, Kuan-Yu – Educational and Psychological Measurement, 2010
In this study, the authors extend the standard item response model with internal restrictions on item difficulty (MIRID) to fit polytomous items using cumulative logits and adjacent-category logits. Moreover, the new model incorporates discrimination parameters and is rooted in a multilevel framework. It is a nonlinear mixed model so that existing…
Descriptors: Difficulty Level, Test Items, Item Response Theory, Generalization
Camara, Wayne – College Board, 2011
This presentation was presented at the 2011 National Conference on Student Assessment (CCSSO). The focus of this presentation is how to validate the common core state standards (CCSS) in math and ELA and the subsequent assessments that will be developed by state consortia. The CCSS specify the skills students need to be ready for post-secondary…
Descriptors: College Readiness, Career Readiness, Benchmarking, Student Evaluation