Item Selection Methods in Multidimensional Computerized Adaptive Testing With Polytomously Scored Items Article Swipe
YOU?
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· 2018
· Open Access
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· DOI: https://doi.org/10.1177/0146621618762748
Multidimensional computerized adaptive testing (MCAT) has been developed over the past decades, and most of them can only deal with dichotomously scored items. However, polytomously scored items have been broadly used in a variety of tests for their advantages of providing more information and testing complicated abilities and skills. The purpose of this study is to discuss the item selection algorithms used in MCAT with polytomously scored items (PMCAT). Several promising item selection algorithms used in MCAT are extended to PMCAT, and two new item selection methods are proposed to improve the existing selection strategies. Two simulation studies are conducted to demonstrate the feasibility of the extended and proposed methods. The simulation results show that most of the extended item selection methods for PMCAT are feasible and the new proposed item selection methods perform well. Combined with the security of the pool, when two dimensions are considered (Study 1), the proposed modified continuous entropy method (MCEM) is the ideal of all in that it gains the lowest item exposure rate and has a relatively high accuracy. As for high dimensions (Study 2), results show that mutual information (MUI) and MCEM keep relatively high estimation accuracy, and the item exposure rates decrease as the correlation increases.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/0146621618762748
- OA Status
- green
- Cited By
- 8
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2800534760
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2800534760Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1177/0146621618762748Digital Object Identifier
- Title
-
Item Selection Methods in Multidimensional Computerized Adaptive Testing With Polytomously Scored ItemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-04-23Full publication date if available
- Authors
-
Dongbo Tu, Yuting Han, Yan Cai, Xuliang GaoList of authors in order
- Landing page
-
https://doi.org/10.1177/0146621618762748Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/6291894Direct OA link when available
- Concepts
-
Computerized adaptive testing, Selection (genetic algorithm), Computer science, Item response theory, Entropy (arrow of time), Statistics, Artificial intelligence, Mathematics, Psychometrics, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 1, 2022: 1, 2021: 1, 2019: 2Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W1975508799, https://openalex.org/W2064842015, https://openalex.org/W2087100630, https://openalex.org/W2128812007, https://openalex.org/W2114863735, https://openalex.org/W1997761300, https://openalex.org/W2570581249, https://openalex.org/W2125153636, https://openalex.org/W2066449209, https://openalex.org/W1991203624, https://openalex.org/W4210738361, https://openalex.org/W2082370383, https://openalex.org/W4246435226, https://openalex.org/W4242730544, https://openalex.org/W1963565782, https://openalex.org/W2078434313, https://openalex.org/W2125881825, https://openalex.org/W2118831458, https://openalex.org/W2072518869, https://openalex.org/W2094670547, https://openalex.org/W2119159447, https://openalex.org/W2995430667, https://openalex.org/W652101318, https://openalex.org/W2539141182 |
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