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Ozsoy, Seyma Nur; Kilmen, Sevilay – International Journal of Assessment Tools in Education, 2023
In this study, Kernel test equating methods were compared under NEAT and NEC designs. In NEAT design, Kernel post-stratification and chain equating methods taking into account optimal and large bandwidths were compared. In the NEC design, gender and/or computer/tablet use was considered as a covariate, and Kernel test equating methods were…
Descriptors: Equated Scores, Testing, Test Items, Statistical Analysis
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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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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
Thompson, Bruce; Melancon, Janet G. – 1990
Effect sizes have been increasingly emphasized in research as more researchers have recognized that: (1) all parametric analyses (t-tests, analyses of variance, etc.) are correlational; (2) effect sizes have played an important role in meta-analytic work; and (3) statistical significance testing is limited in its capacity to inform scientific…
Descriptors: Comparative Analysis, Computer Assisted Testing, Correlation, Effect Size
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Stricker, Lawrence J.; Rock, Donald A.; Lee, Yong-Won – ETS Research Report Series, 2005
This study assessed the factor structure of the LanguEdge™ test and the invariance of its factors across language groups. Confirmatory factor analyses of individual tasks and subsets of items in the four sections of the test, Listening, Reading, Speaking, and Writing, was carried out for Arabic-, Chinese-, and Spanish-speaking test takers. Two…
Descriptors: Factor Structure, Language Tests, Factor Analysis, Semitic Languages