Lyu, W., Wang, C., & Xu, G. (in press). Multi-group regularized Gaussian variational estimation: Fast detection of DIF. Psychometrika.

Lyu, W., & Bolt, D. (2024). A psychometric perspective on the associations between response accuracy and response time residuals. Journal of Intelligence, 12(8), Article 74. https://doi.org/10.3390/jintelligence12080074

Huang, Q., Bolt, D. M., & Lyu, W. (2024). Investigating item complexity as a source of cross-national DIF in TIMSS math and science. Large-scale Assessments in Education, 12, Article 12. https://doi.org/10.1186/s40536-024-00200-3

Lyu, W., & Bolt, D. M. (2024). Predicting response time on self-report rating scale assessments of noncognitive constructs. Behavior Research Methods, 56(3), 1123–1139. https://doi.org/10.3758/s13428-023-02073-w

Lyu, W., Bolt, D. M., & Westby, S. (2023). Exploring the effects of item-specific factors in sequential and IRTree models. Psychometrika, 88(3), 745–775. https://doi.org/10.1007/s11336-023-09912-x

Kaplan, D., Chen, J., Lyu, W., & Yavuz, S. (2023). Bayesian historical borrowing with longitudinal large-scale assessments. Large-scale Assessments in Education, 11, Article 2. https://doi.org/10.1186/s40536-022-00140-w

Lyu, W., Kim, J.-S., & Suk, Y. (2023). Estimating heterogeneous treatment effects within latent class multilevel models: A Bayesian approach. Journal of Educational and Behavioral Statistics, 48(1), 3–36. https://doi.org/10.3102/10769986221115446

Kaplan, D., Chen, J., Yavuz, S., & Lyu, W. (2023). Bayesian dynamic borrowing of historical information with applications to the analysis of large-scale assessments. Psychometrika, 88(1), 1–30. https://doi.org/10.1007/s11336-022-09869-3

Lyu, W., & Bolt, D. M. (2022). A psychometric model for respondent-level anchoring on self-report rating scale instruments. British Journal of Mathematical and Statistical Psychology, 75(1), 116–135. https://doi.org/10.1111/bmsp.12251

Ren, H., Lyu, W., Wang, C., & Xu, G. (2024, July 15–19). Regularized Gaussian variational estimation for detecting intersectional DIF: With multilevel random item effects model [Paper presentation]. International Meeting of the Psychometric Society, Prague, Czech Republic.

Lyu, W., & Bolt, D. M. (2024, April 11–14). A conceptual psychometric model explaining residual dependencies between response accuracy and time [Paper presentation]. National Council on Measurement in Education Annual Conference, Philadelphia, PA, United States.

Lyu, W., Ye, S., Chen, J., Yavuz, S., & Kaplan, D. (2024, April 11–14). ShinyBHB: A Shiny app for Bayesian historical borrowing in large-scale assessments [Paper presentation]. National Council on Measurement in Education Annual Conference, Philadelphia, PA, United States.

Lyu, W., Wang, C., & Xu, G. (2023, November 16–17). Multi-group regularized Gaussian variational estimation: Fast detection of DIF [Paper presentation]. 2nd Annual Pacific Northwest Conference for Research on Psychometrics & Applied Statistics, Seattle, WA, United States.

Lyu, W., & Bolt, D. M. (2023, July 24–28). Nominal category models and the independence of irrelevant alternatives assumption [Paper presentation]. International Meeting of the Psychometric Society, College Park, MD, United States.

Steiner, P. M., & Lyu, W. (2023, May 24–26). A graphical adjustment criterion for differential covariate selection for doubly robust estimators [Paper presentation]. American Causal Inference Conference, Austin, TX, United States.

Lyu, W., Bolt, D. M., & Westby, S. (2022, July 11–15). Effects of item specific factors on sequential/IRTree model applications [Paper presentation]. International Meeting of the Psychometric Society, Bologna, Italy.

Kaplan, D., Chen, J., Lyu, W., & Yavuz, S. (2022, July 11–15). Bayesian dynamic borrowing with longitudinal large-scale assessment data [Paper presentation]. International Meeting of the Psychometric Society, Bologna, Italy.

Lyu, W., Liu, X., Sinharay, S., & Johnson, M. (2022, April 21–24). Item fit indices for continuous response time models [Paper presentation]. National Council on Measurement in Education Annual Conference, San Diego, CA, United States.

Lyu, W., & Bolt, D. M. (2021, July 19–23). How content traits and response styles simultaneously affect response times [Paper presentation]. International Meeting of the Psychometric Society.

Zou, T., Bolt, D. M., & Lyu, W. (2021, July 19–23). Exploring the use of response time data for evaluating person fit in non-cognitive measurement [Poster presentation]. International Meeting of the Psychometric Society.

Kaplan, D., Chen, J., Yavuz, S., & Lyu, W. (2021, July 19–23). Dynamically borrowing historical information for the analysis of large-scale assessments [Paper presentation]. International Meeting of the Psychometric Society.

Kim, J.-S., & Lyu, W. (2020, July 13–17). Classification and estimation of heterogeneous treatment effects [Paper presentation]. International Meeting of the Psychometric Society.

Lyu, W., & Bolt, D. M. (2020, July 13–17). A psychometric model for anchoring on self-reporting rating scale instruments [Paper presentation]. International Meeting of the Psychometric Society.

Lyu, W., & Steiner, P. M. (2019, July 27–August 1). On the robustness of doubly robust estimators in causal inference [Paper presentation]. Joint Statistical Meetings, Denver, CO, United States.

• Graduate School Fellowship, University of Wisconsin–Madison, 2022
• Student Research Grants Competition Award, University of Wisconsin–Madison, 2019
• Graduate School Fellowship, University of Wisconsin–Madison, 2018
• Graduate Academic Scholarship, Peking University, 2017
• Graduate Academic Scholarship, Peking University, 2015
• China Economic Research Scholarship, Peking University, 2014
• Gold Medal in Chinese National Olympiad in Informatics, 2009

• Psychometric Society
• National Council on Measurement in Education
• American Educational Research Association