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Man, Kaiwen; Harring, Jeffery R.; Ouyang, Yunbo; Thomas, Sarah L. – International Journal of Testing, 2018
Many important high-stakes decisions--college admission, academic performance evaluation, and even job promotion--depend on accurate and reliable scores from valid large-scale assessments. However, examinees sometimes cheat by copying answers from other test-takers or practicing with test items ahead of time, which can undermine the effectiveness…
Descriptors: Reaction Time, High Stakes Tests, Test Wiseness, Cheating
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Huang, Hung-Yu – Educational and Psychological Measurement, 2017
Mixture item response theory (IRT) models have been suggested as an efficient method of detecting the different response patterns derived from latent classes when developing a test. In testing situations, multiple latent traits measured by a battery of tests can exhibit a higher-order structure, and mixtures of latent classes may occur on…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
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Boyd, Donald; Lankford, Hamilton; Loeb, Susanna; Wyckoff, James – Journal of Educational and Behavioral Statistics, 2013
Test-based accountability as well as value-added asessments and much experimental and quasi-experimental research in education rely on achievement tests to measure student skills and knowledge. Yet, we know little regarding fundamental properties of these tests, an important example being the extent of measurement error and its implications for…
Descriptors: Accountability, Educational Research, Educational Testing, Error of Measurement
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Fitzgerald, James T.; And Others – Evaluation and the Health Professions, 1994
Implications of case specificity in two computer-based clinical-simulation examination cases were examined by a classical measurement approach and by a Bayesian analysis of test characteristics. Results from 163 medical students indicate that such examinations cannot be used in high-stakes situations without additional research. (SLD)
Descriptors: Bayesian Statistics, Case Method (Teaching Technique), Clinical Diagnosis, Computer Assisted Testing