Biography

Prof. Haiyan Bai

Department of Learning Sciences & Educational Research

College of Community Innovation and Education

University of Central Florida, USA

Professor


Email: [email protected]


Qualifications

2002 Ph.D., Quantitative Research Methodology, University of Cincinnati

1998 M.A., Linguistics, University of Cincinnati

1994 B.A., Teaching English as a Second Language, Shanghai International Studies University


Publications (Selected)

  1. Liu, X., O’Connell, A., Bai, H., Yang, H., & Liu, L. (2024). Fitting Proportional Odds Models for Ordinal Response Variables in Educational Research: A Comparison of Multiple Packages in R. General Linear Model Journal, 48 (1).
  2. Gurjar, N., & Bai, H. (2023). Assessing culturally inclusive instructional design in online learning. Educational Technology Research and Development. 71(3), 1253-1274.
  3. de la Mora Velasco, E., Chen, Y., Hirumi, A., & Bai, H. (2023). The impact of background music on learners: A systematic review and meta-analysis. Psychology of Music. 51(6)
  4. Bai, H., Liu, X., Bai, F., Chen, Y., & Pandohie, R. (2022). Machine Learning Method for High-Dimensional Education Data. Journal of Methods and Measurement in the Social Sciences, 13 (1), 1-13.
  5. Allee, K. A., Clark, M. H., Bai, H., & Roberts, S. K. (2022). Direct and indirect impacts of voluntary pre-kindergarten on kindergarten readiness and achievement. Early Childhood Education Journal, 1-13.
  6. Chen, Y., Hahs-Vaughn, D., & Bai, H. (2021). The Relationship between body mass index and children’s mathematics performance: A growth curve model. Early Childhood Education Journal. 51, 89-104.
  7. Martin, S., Bai, H., Slanda, D., Diaz, A. & Steinke, K. (2020). Serving all students: Assuring principals access to standards based professional development. International Journal of Social Policy and Education, 2(5), 27-34.
  8. Bennett, C., Lambie, G., Bai, H., Hundley, G. (2020). A Neurofeedback training intervention to address college students’ symptoms of anxiety and stress: A Quasi-experimental design, Journal of College Student Psychotherapy, 1-20.
  9. Liu, X., & Bai, H. (2019). Forward and backward continuation ratio models for ordinal response variables. Journal of Modern Applied Statistical Methods, 18 (2), 4.
  10. Bai, H., & Clark, M.H. (2019). Propensity score methods and applications. (The Quantitative Application in the Social Sciences series) Thousand Oaks, CA: SAGE Publications, Inc.
  11. Crunk, A. E., Burke, L. A., Neimeyer, R. A., Robinson, E. H. M., & Bai, H. (2019). The coping assessment for bereavement and loss experiences (CABLE): Development and initial validation. Death studies, 667-691.
  12. Burke, L. A., Crunk, A. E., Neimeyer, R. A., & Bai, H. (2019). Inventory of Complicated Spiritual Grief 2.0 (ICSG 2.0): Validation of a revised measure of spiritual distress in bereavement. Death Studies, 249-265.
  13. Copur-Gencturk, Y., Plowmuian, D., & Bai, H. (2019). Mathematics teachers’ learning: identifying key learning opportunities linked to teachers’ knowledge growth. American Educational Research Journal, 56(5), 1590-1628.
  14. Liu, X., Bai, H., & Koirala, H. (2018).  Multiple imputation for missing data analysis in proportional odds models for ordinal response variables. General Linear Model Journal, 44(1), 1-10.
  15. Pan, W., & Bai, H. (2018). Propensity score methods for causal inference: An overview. Behaviormetrika, 45(2), 317-334.
  16. Bai, H., & Pan, W. (2017). Review of “Practical propensity score methods using R.” Psychometrika, 83(1), 275-278.
  17. Bai, H., Aman, A., Xu, Y., Orlovskaya, N., & Zhou, M. (2016). Effects of web-based interactive modules on engineering students’ learning motivation. American Journal of Engineering Education, 7(2). 84-96.
  18. Pan, W., & Bai, H. (2016). Propensity score methods in nursing research: Take advantage of them but proceed with caution. Nursing Research, 65(6), 421-424.
  19. Pan, W., and Bai, H. (2015). Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores. BMC Medical Research Methodology, 15(1), 53.
  20. Bai, H., Sivo, S., Pan, W., & Fan, X. (2015). Application of a new resampling method to SEM: A comparison of S-SMART with the bootstrap. International Journal of Research & Method in Education, 1-14.

Profile Details

WoS ResearcherID: GWW-2071-2022

https://ccie.ucf.edu/person/haiyan-bai/

https://scholar.google.com/citations?hl=zh-CN&user=sEWX-gQAAAAJ

https://www.researchgate.net/profile/Haiyan-Bai-3

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