Hong Jiao

Associate Professor
Measurement, Statistics and Evaluation

Director
Maryland Assessment Research Center

1230C Benjamin Building
University of Maryland
College Park, MD 20742
hjiao@umd.edu
(301) 405-3627 Voice
(301) 314-9245 Fax

Curriculum Vitae


Biosketch

I am an Associate Professor in Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative Methodology at the University of Maryland. I joined the faculty of EDMS in Fall 2007 after working as a psychometrician on K-12 state assessment programs for about four years.

Research Interests

Psychometrics in large-scale tests Testlet effects, local item dependence, local person dependence, complex local dependence
Developing new psychometric models and approaches to emerging issues in item response data analysis in large-scale assessments
Bayesian estimation methods of standard and extended item response theory (IRT) models including multidimensional, multilevel, and mixture IRT models
Applications of item response theory in large-scale test and instrument development and item response data analysis
Computerized tests for classification decisions

Awards and Honors

2014 The Bradley Hanson Award for Contributions to Educational Measurement by the National Council on Measurement in Education (NCME)
2010 The American Educational Research Association Research Grant sponsored by the National Science Foundation
2008 The SPARC: Support Program for Advancing Research and Collaboration Award, College of Education, University of Maryland, College Park, MD
2005 The Revere Award for Customer Focus, Harcourt Assessment, Inc., San Antonio, TX
2003 The Spaan Fellowship, Funded research in Second or Foreign Language Testing, University of Michigan, Ann Arbor , MI
2002 The Lenke Psychometric Fellowship, Harcourt Educational Measurement, San Antonio, TX

Recent Publications

Li, T., Xie, C., & Jiao, H. (in press). Assessing fit of alternative unidimensional polytomous item response models using posterior predictive model checking. Psychological Methods.

Jiao, H., & Lissitz, R. W. (in press, Eds.). Test fairness in the new generation of large-scale assessment. Information Age Publisher.

Jiao, H., & Lissitz, R. W. (in press, Eds.). Technology enhanced innovative assessment: Development, modeling, and scoring from an interdisciplinary perspective. Information Age Publisher.

Selected Journal Papers

Li*, T., Jiao, H., & Macready, G. (2016). Different approaches to covariate inclusion in the mixture Rasch model. Educational and Psychological Measurement.

Jiao, H., & Zhang*, Y. (2015). Polytomous multilevel testlet models for testlet-based assessments with complex sampling designs. British Journal of Mathematical and Statistical Psychology. 65-83. DOI:10.1111/bmsp.12035.PDF

Wolfe, E., Song, T. W., & Jiao, H. (2015). Features of difficult-to-score essays. Assessing Writing.27, 1-10.

Wolfe, E. W., Jiao, H., & Song, T. (2015). A family of rater accuracy models. Journal of Applied Measurement. 16

Jiao, H., Kamata, A., Wang, S., & Jin, Y. (2012). A multilevel testlet model for dual local dependence. Journal of Educational Measurement, 49, 82-100.PDF

Jiao, H., Wang, S., & Kamata, A. (2005). Modeling local item dependence with the hierarchical generalized linear model. Journal of Applied Measurement, 6, 311-321.PDF

Jiao, H., Wang, S., & He, W. (2013). Estimation methods for one-parameter testlet models. Journal of Educational Measurement, 50, 186-203.PDF

Tao, J., Xu, B., Shi, N., & Jiao, H. (2013). Refining the two-parameter testlet response model by introducing testlet discrimination parameters. Japanese Psychological Research.55, 284-291.

Jiao, H., Macready, G., Liu, J., & Cho, Y. (2012). A mixture Rasch model based computerized adaptive test for latent class identification. Applied Psychological Measurement, 36, 469-493.PDF

Jiao, H., Liu, J., Haynie, K., Woo, A. & Gorham, J. (2012). Comparison between dichotomous and polytomous scoring of innovative items in a large-scale computerized adaptive test. Educational and Psychological Measurement. 72, 493 - 509.PDF

Jiao, H., Lissitz, B., Macready, G., Wang, S., & Liang, S. (2011). Exploring levels of performance using the Mixture Rasch Model for standard setting. Psychological Testing and Assessment Modeling. 53, 499-522. PDF

Chen, Y.-F. & Jiao, H. (2014). Exploring the utility of background and cognitive variables in explaining latent differential item functioning: An example of the PISA 2009 reading assessment. Educational Assessment.

Wolfe, E. W., Jiao, H., & Song, T. (in press). A family of rater accuracy models. Journal of Applied Measurement.

Jiao, H., & Wang, S. (2010). A multifaceted approach to investigating the equivalence between computer-based and paper-and-pencil assessments: An example of Reading Diagnostics. International Journal of Learning Technology. 5, 264-288.

Wang, S., Jiao, H.,, Young, M. J., Brooks, T., & Olson, J. (2008). Comparability of computer-based and paper-and-pencil testing in K-12 reading assessments: A meta-analysis of testing mode effects. Educational and Psychological Measurement, 68, 5-24.

Wang, S., Jiao, H.,, Young, M. J., Brooks, T., & Olson, J. (2007). A meta-analysis of testing mode effects in Grade K-12 Mathematics Tests. Educational and Psychological Measurement, 67, 219-238. Wang, S., & Jiao, H., (2009). Construct equivalence across grades in a vertical scale for a K-12 large-scale reading assessment. Educational and Psychological Measurement, 69, 760-777.

Li*, Y., Jiao, H., & Lissitz, R.W. (2012). Applying multidimensional IRT models in validating test dimensionality: An example of K-12 large-scale science assessment. Journal of Applied Testing Technology,vol. 13, n2.

Edited Books

Jiao, H., & Lissitz, R. W. (2015, Eds). The next generation of testing: Common core standards, Smarter-Balanced, PARCC, and the nationwide testing movement. Information Age Publisher.

Lissitz, R.W., & Jiao, H. (2014, Eds.). Value added modeling and growth modeling with particular application to teacher and school effectiveness. Information Age Publisher.

Lissitz, R.W., & Jiao, H. (2012, Eds.). Computers and their impact on state assessment: Recent history and predictions for the future. Information Age Publisher.

Book Chapters

Jiao, H., Kamata, A., & Xie, C. (2015). A multilevel cross-classified testlet model for complex item and person clustering in item response modeling. In J. Harring, L. Stapleton, & S. Beretvas (Eds.), Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. Charlotte, NC: Information Age Publishing.

Luo, Y., Jiao, H., & Lissitz, R. W. (2015). An empirical study of the impact of the choice of persistence model in value-added modeling upon teacher effect estimates. In L. A. van der Ark, D. Bolt, W.-C. Wang, J. A. Douglas & S.-M. Chow (Eds.), Quantitative psychology research (pp.133-143). Springer, Switzerland.

Jiao, H., & Lissitz, R. W. (2014). Direct modeling of student growth with multilevel and mixture extensions. In R. W. Lissitz & H. Jiao (Eds.), Value added modeling and growth modeling with particular application to teacher and school effectiveness. Information Age Publisher.

Jiao, H., & Chen, Y.-F. (2014). Differential item and testlet functioning. In A. Kunnan (Ed.), The Companion to Language Assessments (pp.1282-1300). John Wiley & Sons, Inc..

Chen, Y.-F., & Jiao, H. (2014). Does model misspecification lead to spurious latent classes? An evaluation of model comparison indices. In R. E. Millsap et al. (eds.), New development in quantitative psychology, 66, DOI 10.1007/978-1-4614-9348-8_22, Springer Science +Business Media, New York.

Jiao, H., & Lissitz, R. W. (2012). Computer-based testing in K-12 state assessments. In R. W. Lissitz & H. Jiao (Ed.), Computers and their impact on state assessment: Recent history and predictions for the future (pp. 1-21). Information Age Publisher.

Templin, J., & Jiao, H. (2011). Applying model-based approaches to performance category classifications. In G. Cizek (Ed.), Setting performance standards: foundations, methods, and innovations (2nd Ed.). New York, NY: Routlege.

Jiao, H., Wang, S., & Kamata, A. (2007). Modeling local item dependence with the hierarchical generalized linear model. In E. V. Smith & R. M. Smith (ed.), Rasch Measurement: Advanced and Specialized Applications. JAM press.

Jiao, H. (2004). Evaluating the Dimensionality of the Michigan English Language Assessment Battery. Spaan Fellow Working Papers in Second or Foreign Language Assessment: Volume 2. University of Michigan, Ann Arbor, MI.




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