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    Last Name

    Nina Deng EdD

    TitleAssistant Professor
    InstitutionUniversity of Massachusetts Medical School
    DepartmentQuantitative Health Sciences
    AddressUniversity of Massachusetts Medical School
    368 Plantation Street, AS6-1079
    Worcester MA 01605
      Other Positions
      InstitutionUMMS - Graduate School of Biomedical Sciences
      DepartmentClinical Population Health Research

        Dr. Deng is a psychometrician with an interest in the patient-reported outcome (PRO) measurement methodology. Particularly she is interested in applying advanced psychometric and statistical methods, including the classical test theory (CTT) and the item response theory (IRT) and their applications in the static and computer adaptive tests (CAT), to calibrate and validate measurement tools which are accurate, efficient, fair and informative. She has the training and background in educational measurement, where she was involved in the projects of large-scale achievement test analyses and calibrations prior to joining UMMS. As an assistant professor in Outcome Measurement Science division at Quantitative Health Sciences department, her current interests focus on methods comparing the alternative PRO measures and modeling the complex multi-dimensional health-related outcome constructs.

        selected publications
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        1. Deng N, Allison JJ, Fang HJ, Ash AS, Ware JE. Using the bootstrap to establish statistical significance for relative validity comparisons among patient-reported outcome measures. Health Qual Life Outcomes. 2013; 11:89.
          View in: PubMed
        2. Deng, N., Hambleton, R. K. In R. E. Millsap et al. (Ed.), New Developments in Quantitative Psychology. Springer Proceedings in Mathematics and Statistics. Evaluating CTT- and IRT-based single-administration estimates of classification consistency and accuracy. 2013; pp. 235-250. New York: Springe.
        3. Deng, N., Han, C., & Hambleton, R. K. A review of DIMPACK version 1.0: Conditional covariance-based test dimensionality analysis package. Applied Psychological Measurement. 2013; 37:162-172.
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