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Wim J. van der Linden; Luping Niu; Seung W. Choi – Journal of Educational and Behavioral Statistics, 2024
A test battery with two different levels of adaptation is presented: a within-subtest level for the selection of the items in the subtests and a between-subtest level to move from one subtest to the next. The battery runs on a two-level model consisting of a regular response model for each of the subtests extended with a second level for the joint…
Descriptors: Adaptive Testing, Test Construction, Test Format, Test Reliability
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
Vuk, Jasna; Morse, David T. – Research in the Schools, 2009
In this study we observed college students' behavior on two self-tailored, multiple-choice exams. Self-tailoring was defined as an option to omit up to five items from being scored on an exam. Participants, 80 undergraduate college students enrolled in two sections of an educational psychology course, statistically significantly improved their…
Descriptors: College Students, Educational Psychology, Academic Achievement, Correlation
van der Linden, Wim J. – Applied Psychological Measurement, 2006
Two local methods for observed-score equating are applied to the problem of equating an adaptive test to a linear test. In an empirical study, the methods were evaluated against a method based on the test characteristic function (TCF) of the linear test and traditional equipercentile equating applied to the ability estimates on the adaptive test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Format, Equated Scores