ERIC Number: EJ1442666
Record Type: Journal
Publication Date: 2024-Oct
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1076-9986
EISSN: EISSN-1935-1054
A Two-Level Adaptive Test Battery
Wim J. van der Linden; Luping Niu; Seung W. Choi
Journal of Educational and Behavioral Statistics, v49 n5 p730-752 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 distribution of their abilities. The presentation of the model is followed by an optimized MCMC algorithm to update the posterior distribution of each of its ability parameters, select the items to Bayesian optimality, and adaptively move from one subtest to the next. Thanks to extremely rapid convergence of the Markov chain and simple posterior calculations, the algorithm can be used in real-world applications without any noticeable latency. Finally, an empirical study with a battery of short diagnostic subtests is shown to yield score accuracies close to traditional one-level adaptive testing with subtests of double lengths.
Descriptors: Adaptive Testing, Test Construction, Test Format, Test Reliability, Test Validity, Response Style (Tests), Comparative Testing, Ability Identification, Item Response Theory, Algorithms, Markov Processes, Mathematical Models
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A