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Li, J., & Engelhard, G., Jr. (2026). Clustering nonparametric person response functions. Rasch Measurement Transactions, 38(3), 2041-2045.
Li, J., Lu, C., Tang, C., & Hodges, G. (2026). Advancing growth mindset research in education: A psychometric validation of the Growth Mindset Scale. Proceedings of the 2026 ASEE Annual Conference & Exposition (Educational Research and Methods Division).
Shen, Z., Rui, G., Dong, N., Cox, K., & Li, J. (2026). Statistical power and optimal design in randomized controlled trials testing equivalence. Proceedings of the 90th Annual International Meeting of the Psychometric Society.
Shen, Z., Kelcey, B., Li, J., Leite, W., & Lu, Z. (2026). Cost-efficient sampling strategies for cluster-randomized trials detecting moderation and main effects. Proceedings of the 90th Annual International Meeting of the Psychometric Society.
Li, J., Yang, X., & Engelhard, G., Jr. (2026). Identification and diagnosis of misreporting in surveys. Educational and Psychological Measurement, 0(0). https://doi.org/10.1177/00131644261451209
Chan, A. L., & Li, J. (2026). From foundation funding to academic capitalism: Organizational strategies for interdisciplinary sustainability. International Journal of Educational Development, 121, 103518. https://doi.org/10.1016/j.ijedudev.2026.103518
Hylick, K., Li, J., Gilliam, S., Sheffield Abdullah, K., & Engelhard, G., Jr. (2026). Examining the psychometric properties of the Perceived Stress Scale in black women during the perinatal period using explanatory Rasch models. Measurement and Evaluation in Counseling and Development, 59(1), 1-19. https://doi.org/10.1080/07481756.2025.2585794
Zhu, M., Li, J., & Yang, X. (2025). A hybrid SAO and RIME optimizer for global optimization and cloud task scheduling. Biomimetics, 10(10), 690. https://doi.org/10.3390/biomimetics10100690
Li, J., Kim, S. H., & Engelhard, G. (2024). Validation of the Household Food Security Survey Module (HFSSM) using factor analysis and Rasch measurement theory. In H. Hwang, H. Wu, & T. Sweet (Eds.), Quantitative psychology: IMPS 2023 (Springer Proceedings in Mathematics & Statistics, Vol. 452). Springer. https://doi.org/10.1007/978-3-031-55548-0_22
Li, W., Zhang, X., Li, J., Yang, X., Li, D., & Liu, Y. (2024). An explanatory study of factors influencing engagement in AI education at the K-12 level: An extension of the classic TAM model. Scientific Reports, 14(1), 13922. https://doi.org/10.1038/s41598-024-64363-3
Li, J., & Engelhard, G. (2023). Using explanatory item response models to evaluate surveys. Journal of Applied Measurement, 24(3/4), 88-101. [ResearchGate PDF]
Tang, C., Xiong, J., Li, J., Engelhard, G., Jr., & Liu, Y. (2026). Diagnosing discrepant ratings in automated scoring: A multi-stage framework for benchmarking and explaining human and large language model ratings. Applied Measurement in Education.
Tang, C., Li, J., Xiong, J., & Engelhard, G. (2026). Judging the judges: Evaluating the ratings and feedback of human and large language model raters. Educational and Psychological Measurement.
Li, J., & Engelhard, G., Jr. (2026). Development of an eleven-item scale for measuring food insecurity. Proceedings of the Pacific-Rim Objective Measurement Symposium (PROMS 2025).
Li, J., Tang, C., Lu, C. A., Madison, M. J., & Engelhard, G., Jr. (2026). Exploring human, empirical, and AI-derived item classifications to predict item difficulty in educational assessments. Applied Measurement in Education.
Li, J., & Engelhard, G., Jr. (2026). Advancing DIF analysis through latent regression Rasch models: A methodological examination using the HFSSM. Applied Psychological Measurement.
Flanagan, K., Hodges, G., & Li, J. (2026). Assessing student's engagement within a science serious educational game. Journal of Science Education and Technology.
Shen, Z., Kelcey, B., Lu, Z., Li, J., & Li, J. (2026). Statistical power and jointly optimal sample allocation for randomized controlled trials investigating main and moderation effects. Psychological Methods.
Li, J., Francis, S., & Hylick, K. (2026). Explanatory Rasch modeling of the EPDS: Item-domain effects and subgroup differences among postpartum women in Nigeria. Educational and Psychological Measurement.
Li, J., Lu, C., & Chen, F. (2025). Examining the influence of serious educational games on mindset. Social Psychological and Personality Science.
Li, J., & Madison, M. J. (2025). Controlling empirical test blueprints using a one-parameter cognitive diagnosis model: A comparison with Rasch measurement. Educational Assessment.
Tang, C., Li, J., Xiong, J., & Engelhard, G., Jr. (2026, July). Uncovering human-large language model rater effects in writing assessment. Paper presented at the International Meeting of the Psychometric Society (IMPS), Seoul, Republic of Korea.
Kim, S.-H., Heady, A., States, T. L., Li, J., & States, J. L. (2026, July). Item response theory models in psychometric textbooks. Paper presented at the International Meeting of the Psychometric Society (IMPS), Seoul, Republic of Korea.
Li, J., Lu, C., & Hodges, G. (2026). Advancing growth mindset research in education: A psychometric validation of the Growth Mindset Scale. Paper accepted to present at the American Society for Engineering Education (ASEE) Annual Meeting, Charlotte, NC.
Li, J., Lu, C., Chen, F., & Hodges, G. (2026). Examining the influence of serious educational games on mindset. Paper accepted to present at the Comparative and International Education Society (CIES) Annual Meeting, San Francisco, CA.
Li, J., Tang, C., Lu, C., Madison, M. J., & Engelhard, G. (2026). Exploring human, empirical, and AI-derived item classifications to predict item difficulty in educational assessments. Paper accepted to present at the American Educational Research Association (AERA) Annual Meeting, Los Angeles, CA.
Lu, C., Li, J., & Chen, F. (2026). Machine learning evaluation of teacher training effectiveness in preventing school bullying. Paper accepted to present at the Comparative and International Education Society (CIES) Annual Meeting, San Francisco, CA.
Lu, C., & Li, J. (2026). From prompts to policy: Advancing fairness in educational LLM evaluation through difference-aware design. Paper accepted to Roundtable presentation at the Comparative and International Education Society (CIES) Annual Meeting, San Francisco, CA.
Shen, Z., Kelcey, B., Lu, Z., Li, J., & Li, J. (2026). Jointly optimal design for experiments investigating main and moderation effects. Paper accepted to present at the American Educational Research Association (AERA) Annual Meeting, Los Angeles, CA.
Tang, C., Li, J., Xiong, J., & Engelhard, G., Jr. (2026). Judging the judges: A Rasch analysis of human and large language model raters. Paper accepted to present at the American Educational Research Association (AERA) Annual Meeting, Los Angeles, CA.
Li, J., Lee, E., Engelhard, G., Jr., & Wang, S. (2025, April). Using explanatory item response modeling (EIRM) to investigate factors that influence item generating. Paper presented at the International Objective Measurement Workshop (IOMW), Boulder, CO.
Li, J., & Madison, M. J. (2025). Using a longitudinal diagnostic classification model to analyze growth: An applied study. Paper presented at the International Objective Measurement Workshop (IOMW), Boulder, CO.
Li, J., & Engelhard, G., Jr. (2024). Using latent regression Rasch model to evaluate surveys. Paper presented at the American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA.
Li, J., & Engelhard, G., Jr. (2023, July). Development of an eleven-item scale for measuring food insecurity. Paper presented at the International Meeting of the Psychometric Society (IMPS), Maryland, MD.
Li, J., & Engelhard, G., Jr. (2023). Using person fit to explore misreporting in surveys. Paper accepted to be presented at the American Educational Research Association (AERA) Annual Meeting, Chicago, IL.