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Item Selection in Multidimensional Computerized Adaptive Testing—Gaining Information from Different Angles

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  • Chun Wang
  • Hua-Hua Chang

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  • Chun Wang & Hua-Hua Chang, 2011. "Item Selection in Multidimensional Computerized Adaptive Testing—Gaining Information from Different Angles," Psychometrika, Springer;The Psychometric Society, vol. 76(3), pages 363-384, July.
    • Handle: RePEc:spr:psycho:v:76:y:2011:i:3:p:363-384
    DOI: 10.1007/s11336-011-9215-7
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    References listed on IDEAS

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    1. Hua-Hua Chang & Zhiliang Ying, 2008. "To Weight or Not to Weight? Balancing Influence of Initial Items in Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 441-450, September.
    2. Joris Mulder & Wim Linden, 2009. "Multidimensional Adaptive Testing with Optimal Design Criteria for Item Selection," Psychometrika, Springer;The Psychometric Society, vol. 74(2), pages 273-296, June.
    3. Wim Linden, 1998. "Bayesian item selection criteria for adaptive testing," Psychometrika, Springer;The Psychometric Society, vol. 63(2), pages 201-216, June.
    4. Bernard Veldkamp & Wim Linden, 2002. "Multidimensional adaptive testing with constraints on test content," Psychometrika, Springer;The Psychometric Society, vol. 67(4), pages 575-588, December.
    5. Daniel Segall, 1996. "Multidimensional adaptive testing," Psychometrika, Springer;The Psychometric Society, vol. 61(2), pages 331-354, June.
    6. Hua-Hua Chang & William Stout, 1993. "The asymptotic posterior normality of the latent trait in an IRT model," Psychometrika, Springer;The Psychometric Society, vol. 58(1), pages 37-52, March.
    7. Chun Wang & Hua-Hua Chang & Keith Boughton, 2011. "Kullback–Leibler Information and Its Applications in Multi-Dimensional Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 76(1), pages 13-39, January.
    8. Daniel Segall, 2001. "General ability measurement: An application of multidimensional item response theory," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 79-97, March.
    9. Ying Cheng, 2009. "When Cognitive Diagnosis Meets Computerized Adaptive Testing: CD-CAT," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 619-632, December.
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    Cited by:

    1. Chun Wang, 2015. "On Latent Trait Estimation in Multidimensional Compensatory Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 428-449, June.
    2. Chun Wang, 2014. "Improving Measurement Precision of Hierarchical Latent Traits Using Adaptive Testing," Journal of Educational and Behavioral Statistics, , vol. 39(6), pages 452-477, December.
    3. Ping Chen & Chun Wang, 2016. "A New Online Calibration Method for Multidimensional Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 674-701, September.
    4. Ping Chen & Chun Wang, 2021. "Using EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 299-326, March.
    5. Chun Wang & David J. Weiss & Zhuoran Shang, 2019. "Variable-Length Stopping Rules for Multidimensional Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 84(3), pages 749-771, September.
    6. Ping Chen, 2017. "A Comparative Study of Online Item Calibration Methods in Multidimensional Computerized Adaptive Testing," Journal of Educational and Behavioral Statistics, , vol. 42(5), pages 559-590, October.
    7. Hua-Hua Chang & Chun Wang, 2011. "M.D. RECKASE (2009) Multidimensional Item Response Theory (Statistics for Social and Behavioral Sciences)," Psychometrika, Springer;The Psychometric Society, vol. 76(3), pages 504-506, July.
    8. Hua-Hua Chang, 2015. "Psychometrics Behind Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 1-20, March.
    9. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.

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