College of Education and Human Development

Department of Educational Psychology

Haoran Li

  • Assistant Professor

Haoran Li

Areas of interest

  • Multilevel modeling
  • Single-case experimental design
  • Monte-Carlo simulation
  • Longitudinal data analysis
  • Scale development and validation
Degrees

PhD, Research, Measurement and Statistics program, Educational Psychology, Texas A&M
University
MS, Applied Psychology, East China Normal University
BA, Event Management, Shanghai University of International Business and Economics

Biography

I am currently accepting doctoral students in the Quantitative Methods in Education (QME) program.

My research interests lie in the development, evaluation, and application of statistical methods to deal with clustered and longitudinal data in education, psychology, and behavioral science. My current work focuses on the evaluation and application of advanced modeling approaches to deal with various types of data (e.g., frequency counts, rates, and proportion data) from single-case experimental designs (SCEDs). I believe that the exploration of the potential of using statistical modeling tailored to different outcomes and designs in single-case studies can make a great contribution to the statistical rigor of SCEDs and have a broader impact on the evidence-based practice movement. From a substantive perspective, I am interested in applying advanced statistical methods to address practical issues in educational, developmental, clinical, and health research.

Courses I Teach

  • EPSY 8251—Methods in Data Analysis for Educational Research I (Fall, 2023)
  • EPSY 8252—Methods in Data Analysis for Educational Research II (Spring, 2024)
  • EPSY 8266—Statistical Analysis Using Structural Equation Methods (Spring, 2024)
Publications

Li, H. (2024). Model selection of GLMMs in the analysis of count data in single-case studies: A Monte Carlo simulation. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-024-02464-7 

Li, H., Luo, W., & Baek, E. (2024). Multilevel modeling in single-case studies with zero-inflated and overdispersed count data. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-024-02359-7

Li, H., Luo, W., Baek, E., Thompson, C. G., & Lam, K. (2023). Multilevel modeling in single- case studies with count and proportion data: A demonstration and evaluation. Psychological Methods. https://doi.org/10.1037/met0000607

Ettekal, I., Li, H., Chaudhary, A., Luo, W. & Brooker, R. J. (2022). Chronic, increasing and decreasing peer victimization trajectories and the development of externalizing and internalizing problems in middle childhood. Development and Psychopathology, 1−19. https://doi.org/10.1017/S0954579422000426

Blake, J.J., Jackson, L., Ruffin, N., Salter, P., Li, H., Banks, C., & Williams, K. S. (2022). Black girls and school discipline: The role of teacher race, pubertal development, and discipline philosophy on discipline decisions. Journal of Emotional and Behavioral Disorders, 30(2), 128−137. https://doi.org/10.1177/10634266221077896

Li, H., Luo, W., Baek, E., Thompson, C. G., & Lam, K. (2021). Estimation and statistical inferences of variance components in the analysis of single-case experimental design using multilevel modeling. Behavior Research Methods, 54(4), 1559−1579. https://doi.org/10.3758/s13428-021-01691-6

Li, H., Luo, W., Xi, J., & Peng, Y. (2021). Development and validation of the Multidimensional Procrastination Scale in Chinese: A comprehensive qualitative and quantitative investigation. European Journal of Psychological Assessment, 38(5), 412–426. https://doi.org/10.1027/1015-5759/a000675

Luo, W., Li, H., Baek, E., Chen, S., Lam, K., & Semma, B. (2021). Reporting practice in multilevel modeling: A revisit after 10 years. Review of Educational Research, 91(3), 311–355. https://doi.org/10.3102/0034654321991229