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Han, Kyung T.; Guo, Fanmin – Practical Assessment, Research & Evaluation, 2014
The full-information maximum likelihood (FIML) method makes it possible to estimate and analyze structural equation models (SEM) even when data are partially missing, enabling incomplete data to contribute to model estimation. The cornerstone of FIML is the missing-at-random (MAR) assumption. In (unidimensional) computerized adaptive testing…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Data, Computer Assisted Testing
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Han, Kyung T. – Applied Psychological Measurement, 2013
Most computerized adaptive testing (CAT) programs do not allow test takers to review and change their responses because it could seriously deteriorate the efficiency of measurement and make tests vulnerable to manipulative test-taking strategies. Several modified testing methods have been developed that provide restricted review options while…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Testing
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Han, Kyung T. – Journal of Educational Measurement, 2012
Successful administration of computerized adaptive testing (CAT) programs in educational settings requires that test security and item exposure control issues be taken seriously. Developing an item selection algorithm that strikes the right balance between test precision and level of item pool utilization is the key to successful implementation…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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Talento-Miller, Eileen; Guo, Fanmin; Han, Kyung T. – International Journal of Testing, 2013
When power tests include a time limit, it is important to assess the possibility of speededness for examinees. Past research on differential speededness has examined gender and ethnic subgroups in the United States on paper and pencil tests. When considering the needs of a global audience, research regarding different native language speakers is…
Descriptors: Adaptive Testing, Computer Assisted Testing, English, Scores