Technical Reports and Invited Talks

  • Jiao, H. (2018, June). Development and modeling of technology-enhanced innovative assessment. Presented at East China Normal University, Shanghai, China.

  • Jiao, H. (2018, June). Modeling of technology-enhanced innovative assessment data. Presented at Beijing Normal University, Beijing, China.

  • Jiao, H. (2018, June). Joint modeling for product data and process data for cognitive diagnosis. Presented at Jianxi Normal University, Nanchang, Jiangxi Province, China.

  • Jiao, H. & Zhan, P. (2018, July). Technology-enhanced innovative science assessment. Presented at the National Conference on STEM Education in China, Shenzhen, China.

  • Liao, D., Liao, M., Qiao, X., Jiao, H., & Lissitz, R.W. (2017). Investigating the concordance relationship between the HSA cut scores and the PARCC cut scores using the 2017 PARCC test data. (MARC research Report). College Park, MD: University of Maryland.
  • Liao, M., Liao, D., Jiao, H., & Lissitz, R.W. (2017). The relationship between the PARCC test scores and the college admission tests using the 2017 PARCC: SAT/ACT/PSAT. (MARC research Report). College Park, MD: University of Maryland.
  • Liao, M., Liao, D., Jiao, H., & Lissitz, R.W. (2017). Validating the relationship between the PARCC test scores and the college admission tests. (MARC research Report). College Park, MD: University of Maryland.
  • Qiao, X., Jiao, H., & Lissitz, R.W. (2017). Combined Score Options for High School Graduation Assessment. (MARC research Report). College Park, MD: University of Maryland.
  • Jiao, H., Zhan, P., Liao, M., & Man, K. (2017, November). A joint multigroup testlet model for responses and response time accounting for differential item and speed functioning. Presented at the fifth conference on the statistical methods in psychometrics. Columbia University, New York.
  • Chen, L., Liao, M., Liao, D., Zou, J., Jiao, H., & Lissitz, R. W. (2016). Maryland State student subgroup performance on 2016 PARCC tests (MARC Research Report). College Park, MD: University of Maryland.
  • Zou, J., Liao, M., Jiao, H., & Lissitz, R. W. (2016). Maryland State student performance on 2016 PARCC tests (MARC Research Report). College Park, MD: University of Maryland.
  • Jiao, H., Zou, J., Liao, D., Li, C., & Lissitz, R. W. (2016). Investigating the concordance relationship between the HSA cut scores and PARCC cut scores (MARC Research Report). College Park, MD: University of Maryland.
  • Liao, D., Li, C., Jiao, H., & Lissitz, R. W. (2015). Investigating the relationship between the PARCC test scores and the college admission tests: SAT/ACT/PSAT (MARC Technical Report). College Park, MD: University of Maryland.
  • Liao, D., Jiao, H., & Lissitz, R. W. (2015). Comparison of different approaches to dealing with directional local item dependence in multipart items (MARC Technical Report). College Park, MD: University of Maryland.
  • Jiao, H. (2014). Differential item functioning analysis for testlet-based assessments. (Research Report submitted to the Governing Board for the AERA Grants Program). College Park, MD: University of Maryland.
  • Jiao, H., Lissitz, R., & Hou, X. (2010). Computer-based testing in the K-12 state assessments. (MARCES Technical Report). College Park, MD: University of Maryland.
  • Lissitz, R., Li, Y., & Jiao, H. (2009). Investigation of Factorial Structure of the 2009 HSA Biology Test across Accommodated and non-accommodated Students. (MARCES Technical Report). College Park, MD: University of Maryland.
  • Jiao, H., & Lissitz, R. (2014, October). Exploring psychometric models for calibrating innovative items embedded in situations. Presented at the Fourteenth Annual Maryland Assessment Conference: Technology enhanced innovative assessment: Development, modeling, and scoring from an interdisciplinary perspective. University of Maryland, College Park.
  • Jiao, H., Kamata, A., & Xie, C. (2014, November). Multilevel cross-classified testlet model for complex item and person clustering in item response modeling. To be presented at the conference on Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. University of Maryland, College Park.
  • Jiao, H., & Yang, X. (2014, May). A multicomponent testlet model. Presented at the Third Workshop on Statistical Methods in Cognitive Assessments. Fudan University, Shanghai, China.
  • Jiao, H. (2014, February). Polytomous multilevel testlet models for testlet-based assessments with complex sampling designs. Presented at the Joint Program in Survey Methodology, University of Maryland, College Park.