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Effects of Test Item Disclosure on Medical Licensing Examination
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Yang, Eunbae B.; Lee, Myung Ae; Park, Yoon Soo – Advances in Health Sciences Education, 2018
In 2012, the National Health Personnel Licensing Examination Board of Korea decided to publicly disclose all test items and answers to satisfy the test takers' right to know and enhance the transparency of tests administered by the government. This study investigated the effects of item disclosure on the medical licensing examination (MLE),…
Descriptors: Certification, Foreign Countries, Test Items, Disclosure
Gauge Impact with 5 Levels of Data
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Guskey, Thomas R. – Journal of Staff Development, 2016
Effective professional learning evaluation requires consideration of five critical stages or levels of information. These five levels, which are presented in this article, represent an adaptation of an evaluation model developed by Kirkpatrick (1959, 1998) for judging the value of supervisory training programs in business and industry.…
Descriptors: Hierarchical Linear Modeling, Outcomes of Education, Supervisory Training, Faculty Development
Centering, Scale Indeterminacy, and Differential Item Functioning Detection in Hierarchical Generalized Linear and Generalized Linear Mixed Models
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Cheong, Yuk Fai; Kamata, Akihito – Applied Measurement in Education, 2013
In this article, we discuss and illustrate two centering and anchoring options available in differential item functioning (DIF) detection studies based on the hierarchical generalized linear and generalized linear mixed modeling frameworks. We compared and contrasted the assumptions of the two options, and examined the properties of their DIF…
Descriptors: Test Bias, Hierarchical Linear Modeling, Comparative Analysis, Test Items
Explore the Usefulness of Person-Fit Analysis on Large-Scale Assessment
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Cui, Ying; Mousavi, Amin – International Journal of Testing, 2015
The current study applied the person-fit statistic, l[subscript z], to data from a Canadian provincial achievement test to explore the usefulness of conducting person-fit analysis on large-scale assessments. Item parameter estimates were compared before and after the misfitting student responses, as identified by l[subscript z], were removed. The…
Descriptors: Measurement, Achievement Tests, Comparative Analysis, Test Items
Assessing Impact, DIF, and DFF in Accommodated Item Scores: A Comparison of Multilevel Measurement Model Parameterizations
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Beretvas, S. Natasha; Cawthon, Stephanie W.; Lockhart, L. Leland; Kaye, Alyssa D. – Educational and Psychological Measurement, 2012
This pedagogical article is intended to explain the similarities and differences between the parameterizations of two multilevel measurement model (MMM) frameworks. The conventional two-level MMM that includes item indicators and models item scores (Level 1) clustered within examinees (Level 2) and the two-level cross-classified MMM (in which item…
Descriptors: Test Bias, Comparative Analysis, Test Items, Difficulty Level
Estimation Methods for One-Parameter Testlet Models
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Jiao, Hong; Wang, Shudong; He, Wei – Journal of Educational Measurement, 2013
This study demonstrated the equivalence between the Rasch testlet model and the three-level one-parameter testlet model and explored the Markov Chain Monte Carlo (MCMC) method for model parameter estimation in WINBUGS. The estimation accuracy from the MCMC method was compared with those from the marginalized maximum likelihood estimation (MMLE)…
Descriptors: Computation, Item Response Theory, Models, Monte Carlo Methods