A. BOOKS

Books Edited (Published)

1. Jiao, H., & Lissitz, R. W. (2020). Applications of artificial intelligence to assessment. Charlotte, NC: Information Age Publisher.
2. Jiao, H., Lissitz, R. W., & Van Wie*, A. (2018, Eds.). Data analytics and psychometrics: Informing assessment practices. Charlotte, NC: Information Age Publisher.
3. Jiao, H., & Lissitz, R. W. (2017, Eds.). Technology enhanced innovative assessment: Development, modeling, and scoring from an interdisciplinary perspective. Charlotte, NC: Information Age Publisher.
4. Jiao, H., & Lissitz, R. W. (2017, Eds.). Test fairness in the new generation of large-scale assessment. Charlotte, NC: Information Age Publisher.
5. Jiao, H., & Lissitz, R. W. (2015, Eds.). The next generation of testing: Common core standards, Smarter-Balanced, PARCC, and the nationwide testing movement. Charlotte, NC: Information Age Publisher.
6. Lissitz, R. W., & Jiao, H. (2014, Eds.). Value added modeling and growth modeling with particular application to teacher and school effectiveness. Charlotte, NC: Information Age Publisher.
7. Lissitz, R. W., & Jiao, H. (2012, Eds.). Computers and their impact on state assessment: Recent history and predictions for the future. Charlotte, NC: Information Age Publisher.

Chapters in Books (Published)

1. Jiao, H., Liao*, D., & Zhan*, P. (2019). Utilizing process data for cognitive diagnosis. In M. von Davier & Y. Lee (Eds.), Handbook of Diagnostic Classification Models.
2. He, Q., Liao*, D., & Jiao, H. (2019). Clustering behavioral patterns using process data in PIAAC problem-solving items. In B. P. Veldkamp & C. Sluijter (Eds.). Theoretical and Practical Advances in Computer-Based Educational Measurement. Springer. Methodology of Educational Measurement and Assessment (book series), Springer. https://doi.org/10.1007/978-3-030-18480-3_10.
3. Jiao, H., & Li*, C. (2018). Progress in International Reading Literacy Study (PIRLS) data. In The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation. Thousand Oaks, CA: Sage.
4. Jiao, H., & Liao*, D. (2018). Testlet response theory. In The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation. Thousand Oaks, CA: Sage.
5. Jiao, H., Lissitz, R. W., & Zhan*, P. (2017). Calibrating innovative items embedded in multiple contexts. In H. Jiao & R.W. Lissitz (Eds.), Technology-enhanced innovative assessment: Development, modeling, scoring from an interdisciplinary perspective. Charlotte, NC: Information Age Publishing.
6. 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 (pp.139-161). Charlotte, NC: Information Age Publishing.
7. 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.
8. 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 (pp.293-306). Charlotte, NC: Information Age Publisher.
9. 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.
10. 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, Springer Proceedings in Mathematics & Statistics, 66, DOI 10.1007/978-1-4614-9348-8_22, Springer Science +Business Media, New York.
11. Jiao, H., & Lissitz, R. W. (2012). Computer-based testing in K-12 state assessments: An Introduction. In R. W. Lissitz & H. Jiao (Ed.), Computers and their impact on state assessment: Recent history and predictions for the future (pp. 1-21). Charlotte, NC: Information Age Publisher.
12. Templin, J. & Jiao, H. (2011). Applying model-based approaches to identify performance categories. In G. Cizek (Ed.), Setting performance standards: foundations, methods, and innovations (pp. 379-397). New York, NY: Routlege.
13. Jiao, H., Wang, S., Kamata, A. (2007). Modeling local item dependence with the hierarchical generalized linear model. In E. V. Smith & R. M. Smith (Eds.), Rasch Measurement: Advanced and Specialized Applications. JAM press.
14. 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 (pp. 27-52). University of Michigan, Ann Arbor, MI.

B. ARTICLES IN REFEREED JOURNALS

Articles in Refereed Journals (Published)

1. Liao*, D., He, Q., & Jiao, H. (2019). Mapping background variables with sequential patterns in problem solving environments: An investigation on US adults’ employment status in PIAAC. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.00646.
2. Man*, K., Harring, J., Jiao, H., & Zhan*, P. (2019). Conditional joint modeling of compensatory multidimensional item responses and response times. Applied Psychological Measurement. Advanced Online Publication. URL https://doi.org/10.1177/0146621618824853.
3. Zhan*, P., Jiao, H., Liao*, D. & Li, F (2019). A longitudinal higher-order diagnostic classification model. Journal of Educational and Behavioral Statistics. Advanced Online Publication. URL https://doi.org/10.3102/1076998619827593.
4. Zhan*, P., Ma, W., Jiao, H., & Ding, S. (2019). A sequential higher-order latent structural model for hierarchical attributes in cognitive diagnostic assessments. Applied Psychological Measurement. Advanced Online Publication. URL https://doi.org/10.1177/0146621619832935.
5. Zhan*, P., Jiao, H., Man, K, & Wang, L. (2019). Using JAGS for Bayesian cognitive diagnosis modeling: A tutorial. Journal of Educational and Behavioral Statistics. Advanced Online Publication. URL https://doi.org/10.3102/1076998619826040
6. Zhan*, P., Wang, W.-C., Jiao, H., & Bian, Y. (2018). The probabilistic-inputs, noisy conjunctive models for cognitive diagnosis. Frontiers in Psychology. URL https://doi.org/10.3389/fpsyg.2018.00997.
7. Zhan*, P., Jiao, H., Liao*, M., & Bian, Y. (2018). Bayesian DINA modeling incorporating within-item characteristics dependency. Applied Psychological Measurement. 43, 143–158. https://doi.org/10.1177/0146621618781594
8. Qiao*, X., & Jiao, H. (2018). Comparing data mining techniques in analyzing process data: A case study on PISA 2012 problem-solving items. Frontiers in Psychology.
9. Zhan*, P. Jiao, H., & Liao*, D. (2017). Cognitive diagnosis modeling incorporating item response times. British Journal of Mathematical and Statistical Psychology. doi: 10.1111/bmsp.12114
10. Luo, Y., & Jiao, H. (2017). Using the Stan program for Bayesian item response theory. Educational and Psychological Measurement. DOI: 10.1177/0013164417693666
11. Li*, T., Xie*, C., & Jiao, H. (2016). Assessing fit of alternative unidimensional polytomous item response models using posterior predictive model checking. Psychological Methods.
12. Li*, T., Jiao, H., & Macready, G. (2015). Different approaches to covariate inclusion in the mixture Rasch model. Educational and Psychological Measurement. DOI: 10.1177/0013164415610380
13. Jiao, H., & Zhang*, Y. (2015). Polytomous multilevel testlet models for testlet-based assessments with complex sampling designs. British Journal of Mathematical and Statistical Psychology, 1, 65-83. Online first，DOI:10.1111/bmsp.12035.
14. Wolfe, E., Song, T. W., & Jiao, H. (2015). Features of difficult-to-score essays. Assessing Writing.27, 1-10.
15. Wolfe, E. W., Jiao, H., & Song, T. (2015). A family of rater accuracy models. Journal of Applied Measurement. 16
16. 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.19, 77-96.
17. Jiao, H., Wang, S., & He, W. (2013). Estimation methods for one-parameter testlet models. Journal of Educational Measurement, 50, 186-203.
18. Wang, S., Jiao, H., & Zhang, L. (2013). Validation of longitudinal achievement constructs of vertically scaled computerized adaptive tests: A multiple-indicator, latent-growth modeling approach. International Journal of Quantitative Research in Education, 1, 383-407.
19. 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.
20. Wang, S., McCall, M., Jiao, H., & Harris, G. (2013). Construct validity and measurement invariance of computerized adaptive testing: application to Measures of Academic Progress (MAP) using confirmatory factor analysis. Journal of Educational and Developmental Psychology, 3, 88-100.
21. 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.
22. 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.
23. Jiao, H., Kamata, A., Wang, S., & Jin, Y. (2012). A multilevel testlet model for dual local dependence. Journal of Educational Measurement, 49, 82-100.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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(1), 5-24.
29. 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(2), 219-238.
30. Jiao, H., Wang, S., & Kamata, A. (2005). Modeling local item dependence with the hierarchical generalized linear model. Journal of Applied Measurement, 6(3), 311-321.
31. Wang, S., & Jiao, H. (2005). Development and application of the Stanford achievement test, diagnostic test, and English proficiency test. Examinations Research, 1(1), 118-128. (in Chinese with English abstract).

C. MONOGRAPHS, REPORTS, AND EXTENSION PUBLICATIONS

1. Liao*, M., Qiao*, X., Jiao, H., & Lissitz, R. W. (2019). Investigating the relationship between SAT scores and post-secondary outcomes (MARC Research Report). College Park, MD: University of Maryland.

2. Qiao*, X., Jiao, H., & Lissitz, R.W. (2019). Investigating the Concordance Relationship Between the HSA Cut Scores and the PARCC Cut Scores Using the 2018 PARCC Test Data. (MARC research Report). College Park, MD: University of Maryland.

3. Liao*, M., Qiao*, X., Jiao, H., & Lissitz, R. W. (2019). Investigating the relationship between the PARCC test scores and post-secondary outcomes (MARC Research Report). College Park, MD: University of Maryland.

4. Liao*, M., Lee*, J., Jiao, H., & Lissitz, R. W. (2019). Maryland state student growth percentile on Multi-State Alternate Assessment (MARC Research Report). College Park, MD: University of Maryland.

5. 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.

6. 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.

7. Liao*, M., Liao*, D., Jiao, H., & Lissitz, R. W. (2017). The relationship between the PARCC test scores and the college admission tests: SAT/ACT/PSAT (MARC Research Report). College Park, MD: University of Maryland.

8. Zou*, J., Liao*, D., Liao*, M., Jiao, H., & Lissitz, R. W. (2017). Investigating invariance of the concordance relationship between the HSA cut scores and PARCC cut scores using the 2017 test data (MARC Research Report). College Park, MD: University of Maryland.

9. Liao*, M., Liao*, D., Jiao, H., & Lissitz, R. W. (2017). Investigating invariance of the relationship between the PARCC test scores and the college admission tests: SAT/ACT/PSAT across years (MARC Research Report). College Park, MD: University of Maryland.

10. Chen*, L., Jiao, H., & Lissitz, R. W. (2017). Investigating invariance of the concordance relationship between the MSA cut scores and PARCC cut scores across years (MARC Research Report). College Park, MD: University of Maryland.

11. 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.

12. 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.

13. Chen*, L., Zou*, J. Jiao, H., & Lissitz, R. W. (2016). Investigating the concordance relationship between the MSA cut scores and PARCC cut scores (MARC Research Report). College Park, MD: University of Maryland.

14. 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.

15. Bryant*, R., Jiao, H., & Lissitz, R. W. (2016). An investigation of NYC students’ performance and experience with the 2015 PARCC pilot tests (Research report submitted to PARCC Inc.). College Park, MD: University of Maryland.

16. 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 Research Report). College Park, MD: University of Maryland.

17. Liao*, D., Jiao, H., & Lissitz, R. W. (2015). Comparison of different approaches to dealing with directional local item dependence in multipart items (MARC Research Report). College Park, MD: University of Maryland.

18. Li*, M., Jiao, H., & Lissitz, R. W. (2015). The impact of ignoring multiple-group structure in testlet-based tests on ability estimation (MARC Research Report). College Park, MD: University of Maryland.

19. Kang*, Y., Jiao, H., & Lissitz, R. W. (2015). The impact of ignoring the multiple-group structure of item response data (MARC Research Report). College Park, MD: University of Maryland.

20. Lee*, D., Jiao, H., & Lissitz, R. W. (2015). Comparison of latent trait and latent class-based models for cognitive diagnosis (MARC Research Report). College Park, MD: University of Maryland.

21. 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.

22. Jiao, H., Haynie, K., & Liu*, J. (2011). A partial credit modeling study of the NCLEX innovative items. (Research Report submitted to the Joint Research Committee, NCSBN). College Park, MD: University of Maryland.

23. 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.

24. 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.

25. Jiao, H., Wang, S., Johnson, M., & Jiang, J. (2007). Investigation of 2006 FCAT Reading Grade 3 Test. (Research Report). San Antonio, TX: Harcourt Assessment.

26. Jiao, H. (2007). The calibration, equating, and scaling specification for the spring 2007 test administration for the Mississippi Subject Area Testing Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

27. Technical Report for the Michigan Educational Assessment Program 2006-2007 Cycle. (2007). Harcourt Assessment Inc. San Antonio, TX.

28. Technical Report for the Michigan Merit Exit Program 2006-2007 Cycle. (2007). Harcourt Assessment Inc. San Antonio, TX.

29. Jiao, H. (2007). The calibration, equating, and scaling specification for the fall 2006 test administration for the Mississippi Subject Area Testing Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

30. Jiao, H. (2006). Sampling Design for the Michigan Educational Assessment Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

31. Vukmirovic, Z., & Jiao, H. (2006). Calibration and equating options for FCAT writing + assessment. (White Paper). San Antonio, TX: Harcourt Assessment.

32. iao, H. (2006). Test Construction Specification for the Michigan Educational Assessment Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

33. Jiao, H., Wang, S., He, W., & Vukmirovic, Z. (2006). The comparability of the spring 2006 online pilot test and the paper-and-pencil tests for the Mississippi Subject Area Testing Program. (Research Report). San Antonio, TX: Harcourt Assessment.

34. Jiao, H. (2006). The test construction specification for the fall 2006 and spring 2007 test administrations for the Mississippi Subject Area Testing Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

35. Jiao, H. (2006). The calibration, equating, and scaling specification for the spring 2006 test administration for the Mississippi Subject Area Testing Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

36. Jiao, H., & Vukmirovic, Z. (2006). The calibration, equating, and scaling specification for the Fall 2005 test administration for the Mississippi Subject Area Testing Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

37. Vukmirovic, Z., Jiang, J., & Jiao, H. (2005). Comparison of different scoring methods of FCAT writing + assessments. (Research Report). San Antonio, TX: Harcourt Assessment.

38. Jiao, H., & Vukmirovic, Z. (2005). The comparability of the spring 2005 online pilot test and the paper-and-pencil tests for Mississippi Subject Area Testing Program. (Research Report). San Antonio, TX: Harcourt Assessment.

39. Jiao, H. (2005). The test construction specification for the fall 2005 and spring 2006 test administrations for the Mississippi Subject Area Testing Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

40. Jiao, H., & Vukmirovic, Z. (2005). The calibration, equating, and scaling specification for the spring 2005 test administration for the Mississippi Subject Area Testing Program. (Technical Report). San Antonio, TX: Harcourt Assessment.

41. Jiao, H., Ayres, G, & Vukmirovic, Z. (2005). Pre-equating vs. post-equating for Mississippi Subject Area Testing Program. (Research Report). San Antonio, TX: Harcourt Assessment.

42. Jiao, H., Ayres, G., & Vukmirovic, Z. (2005). Impact of removing open-ended items from live administration for Mississippi Subject Area Testing Program. (Research Report). San Antonio, TX: Harcourt Assessment.

43. Jiao, H., Chu, K., & Vukmirovic, Z. (2005). Comparison of writing prompts in field-test and live administration for Mississippi Subject Area Testing Program. (Research Report). San Antonio, TX: Harcourt Assessment.

44. Wang, S, Jiao, H., Young, M. J., Brooks, T., & Olson, J. (2005). The effect of computerized test vs. paper-and-pencil test on K-12 student reading achievement: A meta-analysis. (Research Report). San Antonio, TX: Harcourt Assessment.

45. Jiao, H., Wang, S., Vukmirovic, Z., & Young, M. (2004). A Study to Establishing the Vertical Scale for MCA-II Using the Stanford Achievement Test 10. (Research Report). San Antonio, TX: Harcourt Assessment.

46. Jiao, H., Wang, S. & Vukmirovic, Z. (2004). Dimensionality Assessment for MCAS Grade 4, 7, and 10 ELA 2003 Test Administration. (Research Report). San Antonio, TX: Harcourt Assessment.

47. Jiao, H., & Vukmirovic, Z. (2004). Test construction specifications for Minnesota Academic Assessments-II 2005 pilot test administration. (Technical report). Harcourt Assessment, Inc. San Antonio, TX.

48. Wang, S., Jiao, H., Young, M. J., Brooks, T., & Olson, J. (2004). The effect of computerized test vs. paper-and-pencil test on K-12 student mathematics achievement: A meta-analysis. (Research Report). San Antonio, TX: Harcourt Assessment.

49. Wang, S., Jiao, H., Brooks, T., & Young, M. J. (2004). Construct equivalence of Stanford Diagnostic Reading Test (Fourth Edition) between two administration modes. (Research Report). San Antonio, TX: Harcourt Assessment.

50. Wang, S., Jiao, H., Young, M. J., & Brooks, T. (2004). Construct equivalence between customized and original Stanford Achievement Reading Comprehension Tests (Tenth Edition). (Research Report). San Antonio, TX: Harcourt Assessment.

51. Davis, J., Jiao, H., Vukmirovic, A., & Young, M. J. (2004). Comparison between pre-equating and post-equating for large-scale state assessment program. (Research report), Harcourt Assessment Inc. San Antonio, TX.

52. Stephenson, A., Jiao, H., & Wall, N. (2004). A performance comparison of native and Non- native speakers of English on an English Language Proficiency Test. (Research report). Harcourt Assessment, Inc. San Antonio, TX.

53. Nevada Technical Report for the CRT and HSPE Assessments 2002-2003 Cycle. (2004). Harcourt Assessment Inc. San Antonio, TX.

54. Jiao, H., & Paek, I. (2002). Examining the relationship between the full and the abbreviated versions of the Stanford Diagnostic Tests for Reading and Mathematics. Harcourt Educational Measurement. San Antonio, TX.

55. Cerrillo, T., Young, M. J., Skorupski, W., Jiao, H., Paek, I., Shin, S., & Turner, J. (2002). Performance Assessment research program: Analyses of bias and Differential Item Functioning on the New Standards Reference Examinations (Form E). Harcourt Educational Measurement, San Antonio, TX.

D. BOOK REVIEWS, OTHER ARTICLES, NOTES

1. Jiao, H. (2020). Book review: Sociocognitive Foundations of Educational Measurement. Measurement: Interdisciplinary Research and Perspectives, 16(2).
2. Liao*, M., & Jiao, H. (2018). Book review: Psychometric Methods: Theory in Practice, by L. R.Price. Psychometrika. doi: 10.1007/s11336-018-9625-x
3. Qiao*, X., & Jiao, H. (2018). Book review: Bayesian psychometric modeling. Measurement: Interdisciplinary Research and Perspectives, 16(2).
4. Jiao, H. (2011). Book review: Bayesian Item Response Theory Modeling. Psychometrika. 76(2), 360-362.
5. Jiao, H. (2009). Diagnostic classification models: Which one should I use? Measurement: Interdisciplinary Research & Perspective, 7(1), 65-67.

E. TALKS, ABSTRACTS, AND OTHER PROFESSIONAL PAPERS PRESENTED

Invited Talks

1. Jiao, H. (2019, August). Joint modeling of item responses and response time for cognitive diagnosis. Presented at the third Summit on AI and Big Data in Education in China, Beijing, China.
2. Jiao, H. & Zhan, P. (2018, July). Technology-enhanced innovative science assessment. Presented at the Second National Conference on STEM Education in China, Shenzhen, China.
3. Jiao, H. (2018, June). Development and modeling of technology-enhanced innovative assessment. Presented at East China Normal University, Shanghai, China.
4. Jiao, H. (2018, June). Modeling of technology-enhanced innovative assessment data. Presented at Beijing Normal University, Beijing, China.
5. Jiao, H. (2018, June). Joint modeling for product data and process data for cognitive diagnosis. Presented at Jianxi Normal University, Nanchang, Jiangxi Province, China.
6. 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.
7. 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 for the Bradley Hanson Award for Contributions to Educational Measurement, Chicago, Illinois.
8. 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 Maryland, College Park.
9. Jiao, H., & Lissitz, R. (2014, October). Exploring a psychometric model for calibrating innovative items embedded in multiple contexts. Presented at the 14th Annual Maryland
10. Assessment Conference: Technology enhanced innovative assessment: Development, modeling, and scoring from an interdisciplinary perspective. University of Maryland, College Park.
11. 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.
12. 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.
13. Jiao, H., & Lissitz, R. (2012, October). Modeling latent growth using mixture item response theory. Presented in the Twelfth Annual Maryland Assessment Conference: Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness. University of Maryland, College Park.
14. Jiao, H. (2011, July). 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.
15. Jiao, H. (2011, July). Current status in K-12 state assessment programs in the USA. Presented at the Morning Star company, Guangzhou, China.
16. Jiao, H. (2010, February). Effects of items and person clustering on measurement precision. Invited presentation at the Educational Psychology Colloquium in the Department of Human Development, University of Maryland, College Park.
17. Jiao, H., &Wang, S. (2004, August). Psychometric issues in developing Stanford English proficiency test. Presented at the International Examination Forum. Tianjin, China.
18. Wang, S., & Jiao, H. (2004, August). Development of Stanford achievement and diagnostics Test. Presented at the International Examination Forum. Tianjin, China.

Refereed National and International Conference Proceedings

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Wang*, W., Jiao, H., & Sun*, J. (2019, April). Estimating students’ 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. Man*, K., & Jiao, H. (2016, July). Directional local dependency testlet model. Paper presented at the International Meeting of the Psychometric Society, Asheville, NC.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. Jiao, H., Wolfe, E., & Song, T. (2014, April). Guessing in Rasch modeling. Paper presented at the 2014 International Objective Measurement Workshop, Philadelphia, PA.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
66. 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.
67. 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.
68. 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.
69. 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.
70. 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.
71. Zhu*, X., & Jiao, H. (2012, April). The testlet effect in vertical scaling. Paper presented at the 18th International Objective Measurement Workshop. Vancouver, Canada.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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.
83. 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.
84. 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.
85. 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.
86. 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.
87. 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.
88. 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.
89. 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.
90. 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.
91. 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.
92. 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.
93. 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.
94. 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.
95. 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.
96. 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.
97. 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.
98. 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.
99. 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.
100. 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.
101. 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.
102. Jiao, H., Wang, S., & He*, W. (2008, March). The sensitivity of Yen’s Q3 statistics in detecting local item dependence. Paper presented at the Annual Meeting of the American Educational Research Association, New York City, NY.
103. 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.
104. 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.
105. 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.
106. Wang, S., & Jiao, H. (2008, June). Validity of accommodated state assessments. Paper presented at the National Conference of the Large-scale Assessment, Orlando, FL.
107. 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.
108. 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.
109. 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.
110. 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.
111. 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.
112. 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.
113. 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.
114. 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.
115. 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.
116. 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.
117. 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.
118. 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.
119. 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.
120. 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.
121. 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.
122. 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.
123. Wang, S. & Jiao, H. (2005, June). Cost-benefits of using computerized adaptive test for large- scale state assessment. In the session of “Technical and Policy Issues in Using Computerized Adaptive Tests in State Assessments: Promises and Perils”. Paper presented at the National Conference of the Large-scale Assessment. San Antonio, TX.
124. 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.
125. 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.
126. 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.
127. 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.
128. 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.
129. 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.
130. 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.
131. 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.
132. 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.
133. 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.
134. 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.
135. 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.
136. 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.
137. Stephenson, A., & Jiao, H. (2003, April). Classification of students’ English proficiency with Discriminant Analysis. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.

Unrefereed National and International Conference Proceedings

1. 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, Connecticut.
2. 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 Maryland State Department of Education Data Summit, Ellicott City, MD.
3. 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 Maryland State Department of Education Data Summit, Ellicott City, MD.
4. Zou*, J., Jiao, H., Liao*, D., Li*, C., & Lissitz, R. W. (2016, June) Linking HSA to the PARCC consortium test. Paper presented at the Maryland State Department of Education Data Summit, Ellicott City, MD.
5. Man*, K., & Jiao, H. (2016, May). Modeling directional local item dependence. Paper presented at the Modern Modeling Methods Conference, University of Connecticut, Storrs, CT.
6. 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.
7. 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, Maryland.
8. Liao*, D, & Jiao, H. (2014, May). Polytomous multilevel testlet models with complex sampling designs. Poster presented at the conference on the Frontiers of Hierarchical Modeling in Observational Studies, Complex Surveys and Big Data. College Park, Maryland.
9. Li*, Y., Jiao, H., & Lissitz, B. (2010, August). 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.