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Clauser, Jerome C.; Hambleton, Ronald K.; Baldwin, Peter – Educational and Psychological Measurement, 2017
The Angoff standard setting method relies on content experts to review exam items and make judgments about the performance of the minimally proficient examinee. Unfortunately, at times content experts may have gaps in their understanding of specific exam content. These gaps are particularly likely to occur when the content domain is broad and/or…
Descriptors: Scores, Item Analysis, Classification, Decision Making
Peer reviewed
Zenisky, April L.; Hambleton, Ronald K.; Robin, Frederic – Educational and Psychological Measurement, 2003
Studied a two-stage methodology for evaluating differential item functioning (DIF) in large-scale assessment data using a sample of 60,000 students taking a large-scale assessment. Findings illustrate the merit of iterative approached for DIF detection, since items identified at one stage were not necessarily the same as those identified at the…
Descriptors: Item Bias, Large Scale Assessment, Research Methodology, Test Items
Peer reviewed
Rogers, H. Jane; Hambleton, Ronald K. – Educational and Psychological Measurement, 1989
The validity of logistic test models and computer simulation methods for generating sampling distributions of item bias statistics was evaluated under the hypothesis of no item bias. Test data from 937 ninth-grade students were used to develop 7 steps for applying computer-simulated baseline statistics in test development. (SLD)
Descriptors: Computer Simulation, Educational Research, Evaluation Methods, Grade 9
Xing, Dehui; Hambleton, Ronald K. – Educational and Psychological Measurement, 2004
Computer-based testing by credentialing agencies has become common; however, selecting a test design is difficult because several good ones are available - parallel forms, computer adaptive (CAT), and multistage (MST). In this study, three computer-based test designs under some common examination conditions were investigated. Item bank size and…
Descriptors: Test Construction, Psychometrics, Item Banks, Computer Assisted Testing