浪花直播 Assessment Research Center (MARC)

National and International Conference Presentations

  • Zhang, N., Jiao, H., Yadav, C., Sun, Y., & Lissitz, R. (2025, April). Alignment of Digital SAT Math to a State鈥檚 Algebra I Content Standards and Cognitive Complexity. Poster accepted for 2025 American Educational Research Association (AERA) Annual Meeting. 
  • Jiao, H. (2023, July). Integrating Item Product and Process data to Enhance the Theory and Practices of Psychometric Analyses in Digital Assessments. Keynote presentation at the International Meeting of the Psychometric Society.
  • Jiao, H., Yadav, C., Wan, L., & Hua, W. (2023, July). Detecting essays produced by generative AI. Paper presented at the International Meeting of the Psychometric Society, College Park, USA.
  • Jiao, H. (2023, June). Policy, content, and psychometric considerations in developing through-year state assessment system. Paper presented at the Council of Chief State School Officers (CCSSO) 2023 National Conference on Student Assessment (NCSA), New Orleans, LA.
  • Jiao, H., Yavad*, C., & Li*, G. (2023, June 7). Exploration of the utility of person misfit and anomaly measures in developing cheating detectors for large-scale assessment using machine learning methods. Invited presentation at the virtual ATP EdTech Computational Psychometric Summit.
  • Jiao, H., Yavad*, C., Li*, G., Zhou*, T., & Wang, S. (2023, April). Integrating psychometric analysis and machine learning to augment data for cheating detection. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL.
  • Jiao, H. & Liao, D. (2023, April). Joint bi-factor modeling of item responses, response time, and answer changes. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL.
  • Jiao, H., Ren*, J., & Lissitz, R. (2023, April). Integrating high school classroom assessment data and large-scale summative assessment data in developing college and career readiness measures. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL.
  • Jiao, H. (2023, January). Cheating Detection in Assessing Learning Outcomes in the Digital Era. Invited presentation at the College Board (virtually presented).
  • Zhou*, T. & Jiao, H. (2022, August). Developing a stacking ensemble machine learning model for cheating detection in an online exam. Paper presented at the Annual Meeting of the American Psychology Association, Minnesota.
  • Jiao, H. (2022, April). Modeling-based approach to oral reading fluency assessment. Session Discussant at the Annual Meeting of the National Council on Measurement in Education, San Diego, CA.
  • Jiao, H., Chen*, X. & Zhou*, T. (2022, April). Integrating cognitive and non-cognitive data to assess student engagement: Bi-factor joint modeling. Paper presented at the Annual Meeting of the National Council on Measurement in Education, San Diego, CA.
  • Jiao, H., Zhan, P., Zhou*, T., & Ding*, Y. (2022, April). Joint bi-factor modeling of responses, response time and answer changes to improve the accuracy of cognitive diagnosis. Paper presented at the Annual Meeting of the National Council on Measurement in Education, San Diego, CA.
  • He, Q., Liao, D., Ling, H. K., & Jiao, H. (2022, April). Evaluating consistency of behavioral patterns across multiple tasks using process data: An empirical study in PIAAC. Paper presented at the Annual Meeting of the American Educational Research Association. San Diego, CA.
  • He, Q., Liao, D., Ling, H. K., & Jiao, H. (2022, March). Evaluating consistency of adult problem-solving behaviors across multiple tasks using PIAAC process data. Presented at International PIAAC Research Conference 2022, Mannheim, Germany (virtually presented).
  • He, Q., Liao, D., Ling, H. K., & Jiao, H. (2021, October). Evaluating Consistency of Adult Problem-Solving Behaviors across Multiple Tasks Using PIAAC Process Data. Presented at the International PIAAC Research Conference, Mannheim, Germany.
  • Jiao, H., Zhou*, T, & Ding*, Y. (2021, July). Analyzing responses, response time and answer changes for cognitive diagnosis using machine learning algorithms. Invited presentation at the virtual International Meeting of the Psychometric Society.
  • Qiao*, X. & Hicks, J. (2021, June). A Social Network Analysis of the Answer Change Behavior Using NAEP Process Data. Paper presented at the annual meeting of the National Council on Measurement in Education. Baltimore, MD, United States.
  • Qiao*, X. (2021, June). Model-data Fit Evaluation of the Joint Model of Responses and Response Times. Paper presented at the annual meeting of the National Council on Measurement in Education. Baltimore, MD, United States.
  • Jiao, H., Qiao*, X., & Lee*, J. J. (2021, June). Empirical Investigation of Joint Modeling of Responses and Response Time in Testlet-Based Linear-On-The Fly Tests (LOFT). Paper presented at the annual meeting of the National Council on Measurement in Education. Baltimore, MD, United States.
  • Jiao, H. & Lissitz, R. (2021, June). What hath the Coronavirus brought to Assessment锛 Unprecedented Challenges in Educational Assessment in 2020 and Years to Come. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Baltimore, MD.
  • Jiao, H., Ding*, Y., Yin*, C. & Wang, S. (2021, June). Joint modeling of responses, response time and answer changes for cognitive diagnosis. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Baltimore, MD.
  • Tian*, C. & Choi, J (2021, June). The Impact of the Within-family Variation of Item Parameters on Scoring Precision. Paper presented at the annual meeting of the National Council on Measurement in Education. Baltimore, MD, United States.
  • Xu*, S. & Jiao, H. (2020, July). Utilizing Item Response Time in Item Selection in Variable-Length CAT. Paper presented at the virtual conference of International Meeting of the Psychometric Society.
  • Jiao, H. & Ding*, Y. (2020, July). Joint modeling of responses, response time, answer change behaviors for cognitive diagnosis. Paper presented at the virtual conference of International Meeting of the Psychometric Society.
  • Qiao*, X., Liao*, M., & Jiao, H. (2020, July). Nonlinear latent effects in cognitive diagnostic modeling incorporating response times. Paper presented at the virtual conference of International Meeting of the Psychometric Society.
  • Jiao, H., Liao*, M., & Wang*, W. (2019, July). Joint modeling of responses and response time for cognitive diagnosis at the subdomain level. Paper presented at the International Meeting of the Psychometric Society. Chile.
  • Jiao, H., & Qiao*, X. (2019, July). Understanding problem-solving strategies by analyzing log files from multiple items using data mining methods. Paper presented at the International Meeting of the Psychometric Society. Chile.
  • Liao*, D., He, Q., & Jiao, H. (2019, April). Mapping background variables with sequential patterns in problem-solving tasks. Paper presented at the annual meeting of the National Council on Measurement in Education, Toronto, Canada.
  • Zhan, P., Jiao, H., Wang, W.-C., & Man*, K. (2019, April). A multidimensional hierarchical framework for modeling speed and ability in computer-based multidimensional tests. Paper presented at the annual meeting of the National Council on Measurement in Education, Toronto, Canada.
  • Jiao, H., Liao*, M., Liao, D., & Zhan, P. (2019, April). Multigroup cognitive diagnostic joint modeling for responses and response time. Paper presented at the Annual Meeting of the National Council on Measurement in Education. Toronto, Canada.
  • Liao*, M., Patton, J., Yan, R., & Jiao, H. (2019, April). Mining process data to detect item harvesters. Paper presented at the annual meeting of the National Council on Measurement in Education, Toronto, Canada.
  • Liao*, M., & Jiao, H. (2019, April). Module assembly and routing of cognitive diagnostic multistage adaptive test. Paper presented at the annual meeting of the National Council on Measurement in Education, Toronto, Canada.
  • Wang*, W., Jiao, H., & Sun*, J. (2019, April). Estimating students鈥 topic-level abilities using extended higher-order IRT models. Paper presented at the Annual Meeting of the National Council on Measurement in Education. Toronto, Canada.
  • Jiao, H., Liao*, M., & Zhan*, P. (2018, July). Multigroup cognitive diagnosis modeling for responses and response time. Paper presented at International Test Commission Conference. Montreal, Canada.
  • Qiao*, X., & Jiao, H. (2018, July). Comparing data mining methods and psychometric models in analyzing process data and response data. Paper presented at the 2018 annual conference of International Meeting of the Psychometric Society (IMPS), New York City, NY.
  • Jiao, H., Liao*, M., & Zhan*, P. (2018, April). Cognitive diagnostic modeling using responses and response times for items embedded in multiple contexts. Paper presented at the Annual Meeting of the National Council on Measurement in Education. New York City, NY.
  • Li*, C. & Jiao, H. (2018, April). Subscore reporting for double-coded items embedded in multiple contexts. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New York, NY
  • Zhan, P., Ma, W., Jiao, H., & Ding, S. (2018, April). A sequential higher-order latent structural model for hierarchical attributes. Paper presented at the annual meeting of the National Council on Measurement in Education, New York.
  • Liao*, D., Jiao, H., & Zhan*, P. (2018, April). A multigroup testlet model for cognitive diagnosis. Paper presented at the annual meeting of the 2018 National Council on Measurement in Education, New York, NY.
  • Liao*, M., & Jiao, H. (2018, April). Incorporating item features into diagnostic classification models. Paper presented at the Annual Meeting of the National Council on Measurement in Education. New York City, NY.
  • Qiao*, X., & Jiao, H. (2018, April). Impact of nonignorable missing data on the performance of person fit statistic. Paper presented at the annual meeting of the National Council on Measurement in Education (NCME), New York City, NY.
  • Jiao, H., Zhan*, P., & Luo, Y. (2017, July) A non-compensatory Rasch testlet model for items embedded in multiple contexts. Paper presented at the International Meeting of Psychometric Society, Zurich, Switzerland.
  • Zhan*, P., Jiao, H., & Liao*, D. (2017, July). Cognitive diagnosis modeling incorporating item response times. Paper presented at the 2017 International Meeting of the Psychometric Society, Zurich.
  • Jiao, H., Luo, Y., Man*, K., & Liao*, D. (2017, April). Bayesian estimation of item response theory model parameters using OpenBUGS and Stan. Pre-conference training session at the Annual Meeting of the National Council on Measurement in Education. San Antonio, Texas.
  • Liao*, M. & Jiao, H. (2017, April). Incorporating covariates in log-linear cognitive diagnosis model. Paper presented at the Annual Meeting of the National Council on Measurement in Education. San Antonio, Texas.
  • Liao*, D., Jiao, H., & Lei, M. (2017, April). Method comparison of equating testlet-based tests with mixed-format items. Paper presented at the 2017 annual meeting of the National Council on Measurement in Education, San Antonio, TX.
  • Olsen*, E. & Jiao, H. (2017, April). Mixture MIRID. Paper presented at the Annual Meeting of the National Council on Measurement in Education. San Antonio, Texas.
  • Man*, K. & Jiao, H. (2017, April). Robust Bayesian estimation of latent parameters in item response models ignoring existence of aberrance behaviors. Paper presented at the Annual Meeting of the National Council on Measurement in Education. San Antonio, Texas.
  • Man*, K., & Jiao, H. (2016, July). Directional local dependency testlet model. Paper presented at the International Meeting of the Psychometric Society, Asheville, NC.
  • Li*, C., Jiao, H., & Lissitz, R. W. (2016, July) Comparing pattern scoring with number-correct scoring in mixed-format tests. Paper presented at the International Meeting of the Psychometric Society, Asheville, NC.
  • Jiao, H., Zou*, J., Liao*, D., Li*, C., & Lissitz, R. W. (2016, April). A comparison of methods to link a state test to the PARCC consortium test. Paper presented at the Annual Meeting of the National Council on Measurement in Education. Washington D.C.
  • Zhan*, P., & Jiao, H. (2017, December). A sequential higher-order latent structure model for hierarchical attributes in cognitive diagnoses. Paper presented at the 2017 World Educational Research Association & Hong Kong Educational Research Association, Hong Kong.
  • Man*, K. Jiao, H., & Ouyang, Y. (2016, April). Response time based nonparametric person fit index for aberrant response behavior detection in large-scale assessment. Paper presented at the
    Annual Meeting of the National Council on Measurement in Education. Washington D.C.
  • Li*, C. & Jiao, H. (2016, April). A multilevel cross-classified dichotomous Item Response Theory model for complex person clustering structures. Paper presented at the Annual Meeting of the National Council on Measurement in Education. Washington D.C.
  • Liao*, D., Jiao, H., & Lissitz R. W. (2016, April). A conditional IRT model for directional local item dependency in multipart items. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Washington, D.C.
  • Li*, M., Jiao, H., & Lissitz, R. W. (2016, April). The impact of ignoring multiple-group structure in testlet-based tests on ability estimation. Presented at the Annual Meeting of the National Council on Measurement in Education, Washington, D.C.
  • Kang*, Y., Jiao, H., & Lissitz, R. W. (2016, April). The impact of ignoring the multiple-group structure of item response data. Presented at the Annual Meeting of the National Council on Measurement in Education, Washington, D.C.
  • Bryant*, R. & Jiao, H. (2016, April). Investigating item parameter drift amplification and cancellation at the testlet-level on model parameter estimation. Presented at the Annual Meeting of the National Council on Measurement in Education, Washington, D.C.
  • Li*, C. & Jiao, H. (2016, April). Modeling learning growth with a cross-classified multilevel IRT model. Paper presented at the Annual Meeting of the American Educational Research Association. Washington D.C.
  • Liao*, D. & Jiao, H. (2016, April). A multi-group cross-classified testlet model for dual local item dependence in the presence of DIF items. Paper presented at the 18th International Objective Measurement Workshop, Washington, D.C.
  • Liao*, M. & Jiao, H. (2016, April). A combination of diagnostic classification model and IRT model with testlet effects. Paper presented at the 18th International Objective Measurement Workshop, Washington, D.C.
  • Zheng*, Y., & Jiao, H. (2016, April). Comparison of classification accuracy based on IRT and measurement decision theory on tests with polytomous items. Paper presented at the 18th International Objective Measurement Workshop, Washington, D.C.
  • Man*, K., & Jiao, H. (2016, April). New response time based index for detecting aberrant behavior. Paper presented at the 18th International Objective Measurement Workshop, Washington, D.C.
  • Jiao, H., Wolfe, E., Foltz, P., & Harrell-Williams, L. M. (2015, Nov.). Distributional agreement indices for evaluating the performance of automated scoring. Presentation at the Annual Meeting of the AEA-Europe Conference, Glasgow, England.
  • Song, T., Wolfe, E., & Jiao, H. (2015, Nov.). What makes an essay difficult to score. Presentation at the Annual Meeting of the AEA-Europe Conference, Glasgow, England.
  • Li*, C., Jiao, H., & Liao*, D. (2015, July). A multilevel cross-classified polytomous item response theory model for complex person clustering structures. Paper presented at the Annual International Meeting of the Psychometric Society. Beijing, China.
  • Jiao, H., Dogan, E., & Lissitz, R. W. (2015, April). Modeling local item dependence in multipart items using item splitting. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, Illinois.
  • Liao*, D. & Jiao, H. (2015, April). A multilevel Graded Response testlet model with complex sampling designs. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, Illinois.
  • Li*, T. & Jiao, H. (2015, April). Guessing detection using hybrid mixture IRT model with response times. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, Illinois.
  • Zheng*, X., Jiao, H., & Zheng*, Q. (2015, April). Evaluating dimensionality assessment procedures in complex-structure noncompensatory framework. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, Illinois.
  • Jiao, H., Bryant*, R., & Luo, Y. (2014, October). Random vs. adaptive assignment of field-test items in computerized adaptive tests. Paper presented at the Annual Meeting of the International Association of Computerized Adaptive Testing. Princeton, New Jersey.
  • Luo*, Y., Jiao, H., & Lissitz, R. (2014, July). An Empirical study of the impact of the choice of persistence model in value-added modeling upon teacher effect estimates. Paper presented at the Annual International Meeting of the Psychometric Society. Madison, Wisconsin.
  • Jiao, H., & Wang, S. (2014, April). Modeling complex binary item responses with an IRT model with internal restrictions on item difficulty. Paper presented at the 2014 Annual Meeting of the National Council on Measurement in Education, Philadelphia, PA.
  • Song, T., Wolfe, E., & Jiao, H. (2014, April). Features of difficult-to-score essays. Paper presented at the 2014 Annual Meeting of the National Council on Measurement in Education, Philadelphia, PA.
  • Xie*, C., & Jiao, H. (2014, April). Cross-classified modeling of dual local item dependence. Paper presented at the 2014 Annual Meeting of the National Council on Measurement in Education, Philadelphia, PA.
  • Li*, T., Li*, M., Jiao, H., & Lissitz, R. (2014, April). Bias in multilevel IRT estimation of teacher effectiveness. Paper presented at the 2014 Annual Meeting of the National Council on Measurement in Education, Philadelphia, PA.
  • Jiao, H., Wolfe, E., & Song, T. (2014, April). Guessing in Rasch modeling. Paper presented at the 2014 International Objective Measurement Workshop, Philadelphia, PA.
  • Jiao, H. & Macready, G. (2013, July). Mixture hybrid Item Response Theory modeling with different functional forms across latent classes. Paper presented at the Annual Meeting of the Psychometric Society. Arnhem, Netherland.
  • Jiao, H., Kamata, A., Van Wie*, A., & Luo*, Y. (2013, April). A multilevel testlet model for multiple hierarchical levels of person clustering effects. Paper presented at the 2013 Annual Meeting of the National Council on Measurement in Education, San Francisco, CA.
  • Li*, T., Jiao, H., Harring, J., & Macready, G. (2013, April). Adding covariates to mixture item response models: a comparison of different approaches. Paper presented at the 2013 Annual Meeting of the National Council on Measurement in Education, San Francisco, CA.
  • Chen*, Y.-F., von Davier, M., & Jiao, H. (2013, April). Comparison of different approaches to dealing with testlet effects in mixture item response theory modeling. Paper presented at the 2013 Annual Meeting of the National Council on Measurement in Education, San Francisco, CA.
  •  Chen*, Y.-F., & Jiao, H. (2013, April). Evaluating parameter recovery in the mixture Rasch model based computerized adaptive tests with missing data. Paper presented at the 2013 Annual Meeting of the American Educational Research Association, San Francisco, CA.
  •  Li*, T., Xie*, C., & Jiao, H. (2013, April). Assessing fit of alternative polytomous item response models using posterior predictive model checking. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA.
  • Xie*, C., & Jiao, H. (2013, April). The Rasch model plus ability based slipping. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA.
    60. Xie*, C., Li*, T., Rupp, A., & Jiao, H. (2013, April). Posterior predictive model checking for dichotomous item response theory models with upper asymptote effects. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA.
  • Xie*, C., Lissitz, R., Jiao, H., Kang*, Y., & Li*, M (2013, April). Accounting for team-teaching in value-added modeling of teacher effectiveness: a real data analysis. Paper presented at the annual meeting of the American Educational Research Association, Division D 2013 In-Progress Research Gala, San Francisco, CA.
  • Jiao, H., Macready, G., & Johnson, M. (2012, July). A four-parameter mixture Item Response Theory model. Paper presented at the Annual Meeting of the Psychometric Society. Lincoln, Nebraska.
  • Van Wie*, A., Jiao, H., & Luo*, Y. (2012, July). A four-level IRT for simultaneous evaluation of student, teacher, and school effects. Paper presented at the Annual Meeting of the Psychometric Society. Lincoln, Nebraska.
  • Luo*, Y., Jiao, H., & van Wie*, A. (2012, July). A four-level three-parameter IRT. Paper presented at the Annual Meeting of the Psychometric Society. Lincoln, Nebraska.
  • Chen*, Y. F., & Jiao, H. (2012, July). Does model misspecification lead to spurious latent classes in the population? Paper presented at the Annual Meeting of the Psychometric Society. Lincoln, Nebraska.
  • Chen*, Y. F., & Jiao, H. (2012, April). The impact of missing responses on parameter estimation and classification accuracy in a mixture Rasch model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Vancouver, Canada.
  •  Xie*, C., & Jiao, H. (2012, April). A four-parameter multidimensional item response theory model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Vancouver, Canada.
  • Cho*, Y., Jiao, H., & Macready, G. (2012, April). Simultaneous effects of different item discrimination profiles and item difficulty profiles in mixture 2PL models. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Vancouver, Canada.
  • Cho*, Y., Jiao, H., & Macready, G. (2012, April). Assessing the effects of different item parameter profiles in mixture Rasch models. Paper presented at the Annual Meeting of the American Educational Research Association, Vancouver, Canada.
  • Chen*, Y. F., & Jiao, H. (2012, April). Detection of aberrant respondents based on the mixture Rasch model. Paper presented at the 18th International Objective Measurement Workshop. Vancouver, Canada.
  • Zhu*, X., & Jiao, H. (2012, April). The testlet effect in vertical scaling. Paper presented at the 18th International Objective Measurement Workshop. Vancouver, Canada.
  • Jiao, H., Macready, G., Zhu, J., & An*, W. (2011). A modified three-parameter logistic item response theory with varying upper asymptote effects. Paper presented at the Annual Meeting of the Psychometric Society. Hong Kong, China.
  • Jiao, H., Macready, G., Liu*, J., & Cho*, Y. (2011, April). A mixture Rasch model based computerized classification test. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New Orleans, LA.
  • Jiao, H., Lissitz, R., & Zhu*, X. (2011, April). Constructing a common scale in a testing program to model growth: Joint consideration of vertical scaling and horizontal equating. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA.
  • Jiao, H., Mislevy, R., & Zhang*, Y. (2011, April). A general framework for clustering effects in IRT modeling. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA.
  • Jiao, H., von Davier, M., Kamata, A., & Chen*, Y-F. (2011, April). A multilevel Rasch mixture testlet model. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA.
  • Liu*, J., & Jiao, H. (2011, April). A comparison of estimation methods for an explanatory IRT model with person covariates in generalized (non)linear mixed model framework. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New Orleans, LA.
  • Lu*, R., & Jiao, H. (2011, April). Modeling local item dependence in multistage tests. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New Orleans, LA.
  • Chen*, Y-F., & Jiao, H. (2011, April). Explanation of latent differential item functioning based on a mixture Rasch model: characterizing latent classes with the inclusion of background and cognitive-related covariates. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New Orleans, LA.
  • Patarapichayatham*, C., Kamata, A., & Jiao, H. (2011, April). Evaluation of the ability estimates under the bi-factor testlet model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New Orleans, LA.
  • Jiao, H., Kamata, A., & Binici, S. (2010, July). The effects of ignoring item and person clustering on ability estimation and proficiency classification across years. Paper presented at the annual conference of the Psychometric Society. Athens, GA.
  • Choi*, Y., & Jiao, H. (2010, July). The effects of model misspecification on the identification of latent classes in the mixture Item Response Theory Models. Paper presented at the International Meeting of the Psychometric Society. Athens, GA.
  • Cho*, Y., von Davier, M., Jiao, H., & Macready, G. (2010, July). A comparison of classification consistency obtained with unidimensional IRT models and mixture generalized diagnostic models. Paper presented at the International Meeting of the Psychometric Society. Athens, GA.
  • Liu*, M. & Jiao, H. (2010, April). Comparing estimation methods for mixture Rasch model. Paper presented at the 15th International Objective Measurement Workshop meeting, Denver, CO.
  • Jiao, H., & von Davier, M. (2010, April). Parameter estimation of the Rasch mixture testlet model using the marginal maximum likelihood method. Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO.
  • Jiao, H., Kamata, A., Wang, S., & Jin, Y. (2010, April). Simultaneous modeling of item and person dependence using multilevel Rasch measurement model. Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO.
  • Jiao, H., von Davier, M., & Wang, S.(2010, April). Polytomous mixture Rasch testlet model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Denver, CO.
  • Jiao, H., Lissitz, B., Macready, G., Wang, S., & Liang*, S. (2010, April). Exploring using the Mixture Rasch Model for standard setting. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Denver, CO.
  • Li*, Y., & Jiao, H. (2010, April). Multilevel polytomous testlet model. Paper presented at the:Annual Meeting of the National Council on Measurement in Education, Denver, CO.
  • Li*, Y., Jiao, H., & Lissitz, B. (2010, April). Investigation of content clustering in large-scale science assessments using Rasch multidimensional IRT and testlet models. Paper presented at the NCME Graduate Student Poster Session, Denver, CO.
  • Lu*, R. & Jiao, H. (2010, April). The effects of LID on multistage CAT. Paper presented at the National Council on Measurement in Education, Denver, CO.
  • Wang, S., Jiao, H., & Jin, Y. (2010, April). Effect of ignoring hierarchical data structures on accuracy of vertical scaling: A mixed-effects Rasch Model approach. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Denver, CO.
  • Wang, S. & Jiao, H. (2010, April). Modeling LID in science assessments. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Denver, CO.
  • Jiao, H., Wang, S., & Lu*, R. (2009, April). Mixture Rasch model for dichotomously scored testlet-based assessments. Paper presented at the Annual Meeting of the National Council on Measurement in Education, San Diego, CA.
  • Lu*, R., & Jiao, H. (2009, April). Detecting DIF using mixture Rasch model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, San Diego, CA
  • Wang, S., & Jiao, H. (2009, April). Exploring relationship between static and dynamic vertical scaling from cross-section and longitudinal design perspective. Paper presented at the Annual Meeting of the National Council on Measurement in Education, San Diego, CA.
  • Jiao, H., & Wang, S., (2009, April). The effects of anchor item selection on IRT true score equating with nonequivalent-group anchor-test design. Paper accepted at the Annual Meeting of the American Educational Research Association, San Diego, CA.
  • Jiao, H., Wang, S., Wan, L., & Lu*, R. (2009, April). Investigation of local item dependence in scenario-based science assessments. Paper accepted at the Annual Meeting of the American Educational Research Association, San Diego, CA.
  • Wang, S., & Jiao, H. (2009, April). A longitudinal study of achievement gap: Gender and ethnicity difference in reading and mathematics progress. Paper accepted at the Annual Meeting of the American Educational Research Association, San Diego, CA.
  • Jiao, H., Wang, S., & Binici, S. (2008, November). Applications of testlet models in investigation of content clustering in large-scale science assessments. Paper presented at the Annual Meeting of the Florida Educational Research Association, FL.
  • Jiao, H., & Wang, S. (2008, March). Construct equivalence for vertically scaled science assessment. Paper presented at the Annual Meeting of the American Educational Research Association, New York City, NY.
  • Jiao, H., Wang, S., & He*, W. (2008, March). The sensitivity of Yen鈥檚 Q3 statistics in detecting local item dependence. Paper presented at the Annual Meeting of the American Educational Research Association, New York City, NY.
  • Jiao, H., Wang, S., & He*, W. (2008, March). Comparison of estimation methods of one- parameter testlet model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New York City, NY.
  • Wang, S., & Jiao, H. (2008, March). Empirical evidence of construct equivalence of vertical scale across grades in K-12 large-scale standardized reading assessments. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New York City, NY.
  • Wang, S., & Jiao, H. (2008, March). Does large-scale standardized test violate the unidimensionality across grades? An empirical study of construct invariance of vertical scale of mathematics test. Paper presented at the Annual Meeting of the American Educational Research Association, New York City, NY.
  • Wang, S., & Jiao, H. (2008, June). Validity of accommodated state assessments. Paper presented at the National Conference of the Large-scale Assessment, Orlando, FL.
  • Jiao, H., Wang, S., & Binici, S. (2007, November). Investigating the comparability between online and paper-and-pencil versions of large-scale high school exit examinations. Paper presented at the Annual Meeting of the Florida Educational Research Association, Tampa, FL.
  • Wang, S., Jiao, H., & Young, M. J. (2007, November). Effectiveness of using Stanford English Language Proficiency Test to identify English Language Learners. Paper presented at the Annual Meeting of the Florida Educational Research Association, Tampa, FL.
  • Jiao, H., & Wang, S. (2007, April). The effects of the selection of vertical linking items on modeling student growth. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL.
  • Jiao, H., & Wang, S. (2007, April). The choice of vertical linking items on vertical scaling. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.
  • Jiao, H., & Wang, S. (2007, June). Validity of assessing limited English proficiency student in state assessment programs. Paper presented at the National Conference of the Large-scale Assessment, Nashville, TN.
  • He*, W., Wang, S., & Jiao, H. (2007, April). Robustness of the SPRT procedure in CMT when local item independence assumption is violated. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL.
  • Wang, S., Jiao, H., Young, M., Olson, J., & Brooks, T. (2007, April). A meta-analysis of testing mode effects in K-12 reading assessments. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.
  • Wang, S., & Jiao, H. (2007, April). Construct validity and measurement invariance of large- scale standardized reading and mathematics tests under disability and LEP accommodations in K-12 education. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.
  • Wang, S., Young, M., Brooks, T., Jiao, H., & Skoglund, G. (2007, April). A Comparison of computer-automated and human scoring methods for a large scale state-wide writing assessment in K-12 education. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL.
  • Jiao, H., & Wang, S. (2006, June). Comparison of vertical linking designs. Paper presented at the National Conference of the Large-scale Assessment, San Francisco, CA.
  • Jiao, H., Wang, S., Kamata, A., & Miyazaki, Y. (2006, April). An investigation of local item dependence using multilevel testlet model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, San Francisco, CA.
  • Jiao, H., Wang, S., Yi, Q., & Vukmirovic, Z. (2006, April). The equivalence of the computer- based and paper-and-pencil versions of a large-scale diagnostic reading test. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA.
  •  Lau, A. C., Jiao, H., & Lam, W. (2006, April). A simulation study to compare pattern scoring and number-correct scoring with 3PL-IRT model. Paper presented at the Annual Meeting of the National Council on Measurement in Education, San Francisco, CA.
  • Jiao, H., Wang, S., & Vukmirovic, Z. (2006, April). Investigation of local item dependence in scenario-based science assessment. Paper presented at the 13th International Objective Measurement Workshop, San Francisco, CA.
  • Wang, S., Jiao, H., Young, M, & Jin, Y. (2006, April). The effects of linking designs in vertical scaling on the growth patterns of student achievement. Paper presented at the 13th International Objective Measurement Workshop, San Francisco, CA.
  • Wang, S., Jiao, H., & Young, M. (2006, April). The robustness of unidimensional Rasch Measurement Model to multidimensional data in vertical scaling. Paper presented at the 13th International Objective Measurement Workshop, San Francisco, CA.
  • Wang, S. & Jiao, H. (2005, June). Cost-benefits of using computerized adaptive test for large- scale state assessment. In the session of 鈥淭echnical and Policy Issues in Using Computerized Adaptive Tests in State Assessments: Promises and Perils鈥. Paper presented at the National Conference of the Large-scale Assessment. San Antonio, TX.
  • Jiao, H., Ro, S., Vukmirovic, Z., & Wang, S. (2005, April). A comparison of different designs for calibrating mixed format items in a stand-alone field test. Paper presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
  • Vukmirovic, Z., Jiao, H., & Turhan, A. (2005, April). A comparison among different methods used to establish a common metric for field-test items. Paper presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
  • Wang, S., Jiao, H., & Severance, N. (2005, April). An investigation of growth patterns of student achievement using unidimensional and multidimensional vertical scale methods. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Montreal, Canada.
  • Wang, S., Jiao, H., & Brooks, T. (2005, April). Construct equivalence between customized and original standardized reading comprehension tests. Paper presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
  • Jiao, H., & Lau, A. (2004, August). Mixing linear and adaptive algorithms in computerized classification test. Paper presented at the 28th International Congress of Psychology. Beijing, China.
  • Jiao, H., & Wang, S., & Vukmirovic, Z. (2004, August). The effects of random sampling on the Mantel Statistics. Paper presented at the 28th International Congress of Psychology. Beijing, China.
  • Jiao, H., & Wang, S., & Vukmirovic, Z. (2004, August). Consistency of using different matching variables in detecting Differential Item Functioning. Paper presented at the 28th International Congress of Psychology. Beijing, China.
  • Jiao, H., Wang, S., Lau, A. C., & Zhang, H. (2004, August). Comparison of computerized adaptive test and computerized classification test in making dichotomous classification decisions. Paper presented at the 28th International Congress of Psychology. Beijing, China.
  • Jiao, H., Wang, S., & Lau, A. C. (2004, August). An investigation of two combination procedures of SPRT for three-category classification decisions in computerized classification test. Paper presented at the Annual Meeting of American Educational Research Association. San Diego, CA.
  • Lau, A. C., Jiao, H., & Lam, W. (2004, April). A simulation study to investigate the properties of pattern scoring and number-correct scoring using IRT model. Paper presented at the Annual Meeting of American Educational Research Association, San Diego, CA.
  • Stephenson, A., & Jiao, H. (2004, April). Comparison of native and non-native speakers of English on an English language proficiency test. Paper presented at the Annual Meeting of American Educational Research Association, San Diego, CA.
  • Jiao, H., & Kamata, A. (2003, April). Model comparisons in the presence of local item dependence. Paper presented at the Annual Meeting of American Educational Research Association, Chicago, IL.
  • Jiao, H., & Lau, A. C. (2003, April). The effects of model misfit in computerized classification test. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL.
  • Stephenson, A., & Jiao, H. (2003, April). Classification of students鈥 English proficiency with Discriminant Analysis. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.***
  • Refereed National and International Conference Proceedings
  • Liao, D., von Davier, M., & Rubright, D. J. (2018, April). Exploring alternative scoring methods for large-scale computer-based case simulations. Paper to be presented at the annual meeting of the National Council on Measurement in Education, New York, NY.
  • Liao, D. (2018, January). Exploring the utility of response time and process data in large-scale assessments for understanding response process and employment status. Paper presented at the Global Assessment Methodologies Seminar at Educational Testing Service, Princeton, NJ..
  • Liao, M., & Jiao, H. (2017, July). A cross-classified diagnostic classification model for dual local item dependence. Paper presented at the International Meeting of Psychometric Society, Zurich, Switzerland.
  • Man, K., Jiao, H., Zhan, P., & Huang, C.-Y. (2017, May). A conditional joint modeling approach for compensatory multidimensional item response model and response times. Paper presented at the annual meeting of the Modern Modeling Methods Conference, Storrs.
  • Man, K., & Jiao, H. (2016, June). Directional local dependency test-let model. Paper presented at the International Meeting of Psychometric Society, Asheville, NC.
  • Li, C., Liao, D., Zou J., Jiao, H., & Lissitz, R. W. (2016, June). Investigating the concordance relationship between the MSA and PARCC scores using propensity score matching and extrapolation methods. Paper presented at the 浪花直播 State Department of Education Data Summit, Ellicott City, MD.
  • Liao, D., Li, C., Jiao, H., & Lissitz, R. W. (2016, June). Investigating the relationship between PARCC test scores and college admission test scores: SAT/ACT/PSAT. Paper presented at the 浪花直播 State Department of Education Data Summit, Ellicott City, MD.
  • Zou, J., Jiao, H., Liao, D., Li, C., & Lissitz, R. W. (2016, June). Linking HSA to the PARCC consortium test. Paper presented at the 浪花直播 State Department of Education Data Summit, Ellicott City, MD.
  • Man, K., & Jiao, H. (2016, May). Modeling directional local item dependence. Paper presented at the Modern Modeling Methods Conference, University of Connecticut, Storrs, CT.
  • Liao, D., & Yang, J. S. (2016, April). Sensitivity analysis of fit indices for multilevel-multidimensional item response models. Paper to be presented at the Annual Meeting of American Educational Research Association, Washington, D.C.
  • Li, Y., Liao, D., & Lee, M-LT. (2015, August). Using Threshold Regression to Analyze Survival Data from Complex Surveys: with Application to Mortality Linked NHANES III Phase II Genetic Data. Paper presented at the Joint Statistical Meeting, Seattle, WA.
  • Liao, D., & Yang, J. S. (2015, July). Model fit evaluation in multilevel-multidimensional item response models: sensitivity to model misspecification. Paper presented at the International Meeting of the Psychometric Society, Beijing, China.
  • Jiao, H. (2015, April). A multilevel testlet model for mixed-format tests. Invited presentation at the Annual Meeting of the National Council on Measurement in Education, Chicago, Illinois.
  • Li, C., Jiao, H. & Liao, D.(2015, March). Native Language and School Cluster Effects on English Language Learner鈥檚 English Proficiency Using a Cross-classified Multilevel Item Response Theory (IRT) Model. Paper presented on the EDMS research day at the University of 浪花直播, College Park, MD.
  • Liao, D., & Jiao, H. (2015, March). Polytomous multilevel testlet models with complex sampling designs. Paper presented on the EDMS research day at the University of 浪花直播, College Park, MD.
  • Jiao, H., Kamata, A., & Xie, C. (2014, November). A multilevel cross-classified testlet model for complex item and person clustering in item response modeling. Presented at the conference on Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. University of 浪花直播, College Park.
  • Jiao, H., & Lissitz, R. (2014, October). Exploring a psychometric model for calibrating innovative items embedded in multiple contexts. Presented at the Fourteenth Annual 浪花直播 Assessment Conference: Technology enhanced innovative assessment: Development, modeling, and scoring from an interdisciplinary perspective. University of 浪花直播, College Park.
  • Jiao, H., & Yao, L. (2014, August). Estimation of noncompensatory multidimensional Rasch model. Paper presented at the Meeting of the Pacific-Rim Objective Measurement Symposium. Guangzhou, China.
  • 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.
  • Luo, Y., & Jiao, H. (2014, May). Estimation methods for four-level Rasch model. Poster presented at the conference on the Frontiers of Hierarchical Modeling in Observational Studies, Complex Surveys and Big Data, College Park, 浪花直播.
  • Li, M., Li, T., Jiao, H. & Lissitz, R. (2014, April). Handling missing data in value added models: An empirical study.Paper presented at the National Council on Measurement in Education Meeting, Philadelphia, PA.
  • 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 浪花直播, College Park.
  • Kang, Y., Lissitz, R. W., Li, M., & Xie, C. (2013). Effect of unmodeled measurement error in value-added modeling: a simulation study. Paper presented at the American Educational Research Association Meeting, Division D In-Progress Research Gala, San Francisco, CA.
  • Li, M., Lissitz, R. W., Kang, Y., & Xie, C. (2013). Applying cross-validation method to value-added models. Paper presented at the 2013 annual meeting of the American Educational Research Association Meeting, Division D In-Progress Research Gala, San Francisco, CA.
  • Jiao, H., & Lissitz, R. (2012). Modeling latent growth using mixture item response theory. Presented in the Twelfth Annual 浪花直播 Assessment Conference: Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness, University of 浪花直播, College Park.
  • Li, Y., & Lissitz, R. W. (2012). Exploring the full-information bi-factor model in vertical scaling with construct shift.  Paper presented at the National Council on Measurement in Education Meeting, Vancouver, Canada.
  • Lissitz, R. W. (2012). The evaluation of teacher and school effectiveness using growth models and value added models: Hope versus reality. Invited address given at the American Educational Research Association Meeting, Division H, Vancouver, Canada.
  • Jiao, H. (2011). Item response theory models for locally dependent item response data. Presented in the Workshop on Modern Psychometric and Statistical Methods for Large-Scale Education Assessments. Beijing Normal University, Beijing, China.
  • Jiao, H. (2011). Current status in K-12 state assessment programs in the USA. Presented at Morning Star, Guangzhou, China.
  • Lissitz, R. W. (Chairperson, 2011). Computerized adaptive tests for classification: Algorithms and applications. Symposium at New Orleans, LA.
  • Lissitz, R. W., Hou, X., & Slater, S. C. (2011). The contribution of constructed response items to large scale assessment: Measuring and understanding their impact. Presented at the National Council on Measurement in Education Meeting, New Orleans, LA.
  • Jiao, H. (2010). Effects of items and person clustering on measurement precision. Invited presentation at the Educational Psychology Colloquium in the Department of Human Development, University of 浪花直播, College Park.
  • Jiao, H., Lissitz, R. W., Macready, G., & Wang, S. (2010). Comparing the use of Mixture Rasch Modeling and Judgmental Procedures for Standard Setting. Paper presented at the National Council on Measurement in Education Meeting, Denver, CO.
  • Li, Y., Jiao, H. & Lissitz, R. W. (2010). Providing validity evidence for fair use in international testing: A confirmatory factor analysis approach. 7th Conference of the International Test Commission, Hong Kong.
  • Li, Y., Jiao, H., & Lissitz, B. (2010). Construct equivalence of a state high-school graduation test with and without accommodations. Paper presented at the meeting of the International Commission of Testing, Hong Kong, China.
  • Lin, P., & Lissitz, R. W. (2010). The impact of calibration decision on developing a multidimensional vertical scale. Paper presented at the National Council on Measurement in Education Meeting, Denver, CO.
  • Lissitz, R. W., & Li, F. F. (2010). Standard Setting in Complex Performance Assessments: An Approach Aligned with Cognitive Diagnostic Models. Paper presented at the National Council on Measurement in Education Meeting, Denver, CO.
  • Cao, Y., & Lissitz, R. W. (2009). Mixed-format test equating: Effects of test dimensionality and common-item sets. Paper presented at the National Council on Measurement in Education Meeting, San Diego, CA.
  • Li, F. F., Patelis, T., & Lissitz, R. W. (2008). Rigorous Curriculum and SAT. Conference Proceedings, Paper 5. From Rocky Hill, Ct: NERA
  • Lissitz, R. W., & Li, Y. (2008). Reporting aggregated data at the system, school and classroom level.  浪花直播 Assessment Group, Ocean City, 浪花直播.
  • Schafer, W. D., Wang, J., & Wang, V. (2008, October). Validity in action: State assessment validity evidence for compliance with NCLB. Ninth Annual 浪花直播 Assessment Conference: The Concept of Validity: Revisions, New Directions and Applications, College Park.
  • Lin, P, Wei, H., & Lissitz, R. W. (2007). Equivalent test structure across grades:  A comparison of methods using empirical data.  In symposium On Measuring change and growth when the measure itself changes over time: Measurement and methodological issues.  Paper presented at the American Educational Research Association Meeting, Chicago, IL.
  • Lissitz, R. W., & Wei, H. (2007). Consistency of standard setting in an augmented state testing system. Paper presented at the National Council on Measurement in Education Meeting, Chicago, IL.
  • Lissitz, R. W., & Kroopnick, M. (2007). An adaptive procedure for standard setting and a comparison with traditional approaches. Paper presented at the National Council on Measurement in Education Meeting, Chicago, IL.
  • Schafer, W. D., Liu, M., & Wang, H. (2007). Cross-Grade Comparisons among Statewide Assessments and NAEP. Paper presented at the American Educational Research Association Meeting, Chicago, IL.
  • Hislop, B., Von Secker, C., Bedford, S., & Perakis, S. (2006, Nov).Using Data to Drive Change. MAG Conference, MD.
  • Lissitz, R. W. (2006). The 浪花直播 Assessment Research Center for Education Success (MARCES): Standard Setting and Assessment of Student Growth in Achievement. International Conference on Educational Evaluation, National Taiwan Normal University.
  • Lissitz, R. W. (2006). Using Data to Drive Change: Interventions. 浪花直播 Assessment Group.
  • Lissitz, R., & Fan, W., et. al. (2006).The Prediction of Performance on the 浪花直播 High School Graduation Exam: Magnitude, Modeling and Reliability of Results. Paper presented at the National Council on Measurement in Education Meeting, San Francisco, CA.
  • Mulvenon, S., Zumbo, B. D., Stegman, C., & Lissitz, R. W. (2006). Improving educational data, statistical models, and assessment designs for NCLB: The role of educational statisticians. Invited symposium for the American Educational Research Association Meeting, SIG/ES.
  • Corliss, Tia, & Lissitz, R. W. (2005). An empirical history of focus group studies in education and psychology from 1979 to 2003. Paper presented at the National Council on Measurement in Education Meeting, Montreal, Canada.
  • Lissitz, R. W., & Alban, T. (2005). Predicting Performance on the 浪花直播 High School Assessments. 浪花直播 Assessment Group, Ocean City, 浪花直播.
  • Shafer, W. (2005, December).Comments on school-level database design and use. Paper presented at National Research Council Symposium on Use of School-Level Data to Evaluate Federal Education Programs, Washington, DC.
  • Schafer, W., Papapolydorou, M., Rahman, T., & Parker. L.(2005).Effects of Test Administrator Characteristics on Achievement Test Scores. Paper presented at the Conference of the National Council on Measurement in Education in Montreal, Canada.