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Practical Considerations in Choosing an Anchor Test Form for Equating under the Random Groups Design
Cui, Zhongmin; He, Yong – Measurement: Interdisciplinary Research and Perspectives, 2023
Careful considerations are necessary when there is a need to choose an anchor test form from a list of old test forms for equating under the random groups design. The choice of the anchor form potentially affects the accuracy of equated scores on new test forms. Few guidelines, however, can be found in the literature on choosing the anchor form.…
Descriptors: Test Format, Equated Scores, Best Practices, Test Construction
Gurdil Ege, Hatice; Demir, Ergul – Eurasian Journal of Educational Research, 2020
Purpose: The present study aims to evaluate how the reliabilities computed using a, Stratified a, Angoff-Feldt, and Feldt-Raju estimators may differ when sample size (500, 1000, and 2000) and item type ratio of dichotomous to polytomous items (2:1; 1:1, 1:2) included in the scale are varied. Research Methods: In this study, Cronbach's a,…
Descriptors: Test Format, Simulation, Test Reliability, Sample Size
Ozdemir, Burhanettin; Gelbal, Selahattin – Education and Information Technologies, 2022
The computerized adaptive tests (CAT) apply an adaptive process in which the items are tailored to individuals' ability scores. The multidimensional CAT (MCAT) designs differ in terms of different item selection, ability estimation, and termination methods being used. This study aims at investigating the performance of the MCAT designs used to…
Descriptors: Scores, Computer Assisted Testing, Test Items, Language Proficiency
Edwards, Michael C.; Flora, David B.; Thissen, David – Applied Measurement in Education, 2012
This article describes a computerized adaptive test (CAT) based on the uniform item exposure multi-form structure (uMFS). The uMFS is a specialization of the multi-form structure (MFS) idea described by Armstrong, Jones, Berliner, and Pashley (1998). In an MFS CAT, the examinee first responds to a small fixed block of items. The items comprising…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Format, Test Items
Öztürk-Gübes, Nese; Kelecioglu, Hülya – Educational Sciences: Theory and Practice, 2016
The purpose of this study was to examine the impact of dimensionality, common-item set format, and different scale linking methods on preserving equity property with mixed-format test equating. Item response theory (IRT) true-score equating (TSE) and IRT observed-score equating (OSE) methods were used under common-item nonequivalent groups design.…
Descriptors: Test Format, Item Response Theory, True Scores, Equated Scores
Rotou, Ourania; Patsula, Liane; Steffen, Manfred; Rizavi, Saba – ETS Research Report Series, 2007
Traditionally, the fixed-length linear paper-and-pencil (P&P) mode of administration has been the standard method of test delivery. With the advancement of technology, however, the popularity of administering tests using adaptive methods like computerized adaptive testing (CAT) and multistage testing (MST) has grown in the field of measurement…
Descriptors: Comparative Analysis, Test Format, Computer Assisted Testing, Models
Peer reviewedClyman, Stephen G.; Orr, Nancy A. – Academic Medicine, 1990
The process proposed for the development and use of computer-based testing, including simulation and multiple-choice questions, as part of the National Board of Medical Examiners' certification sequence is outlined. Summary reports of first-phase pilot testing in six medical schools are appended. (MSE)
Descriptors: Computer Assisted Testing, Higher Education, Licensing Examinations (Professions), Medical Education
Eignor, Daniel R.; Hambleton, Ronald K. – 1979
The purpose of the investigation was to obtain some relationships among (1) test lengths, (2) shape of domain-score distributions, (3) advancement scores, and (4) several criterion-referenced test score reliability and validity indices. The study was conducted using computer simulation methods. The values of variables under study were set to be…
Descriptors: Comparative Analysis, Computer Assisted Testing, Criterion Referenced Tests, Cutting Scores

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