Structural equation modeling
Bayesian data analysis
ESRM 5393: Statistics in Education and Health Profession
ESRM 6403: Educational Statistics and Data Processing
ESRM 6513: Hierarchical Linear Modeling
ESRM 699V: Advanced Sturctural Equation Modeling
Ph.D., Measurement and Statistics, Florida State University, 2014
B.S., Information and Computing Science, Zhejiang Gongshang University, China, 2007
(* indicates student co-author)
Liang, X., & Luo, Y. (in press). A comprehensive comparison of model selection methods for testing factorial invariance. Structural Equation Modeling: A Multidisciplinary Journal.
Wu, H., †Liang, X., Yurekli, H., Becker, B., Paek, I., & Salih, B. (in press). Assessing the fine-grained attributes in a large-scale mathematics test: A DINA model application with two Q-matrices. Journal of Psychoeducational Assessment. (†corresponding author)
*Merrill, R. A., & Liang, X. (2019). Associations between adolescent media use, mental health, and risky sexual behaviors. Children and Youth Services Review, 103, 1-9.
Luo, Y., & Liang, X. (2019). Simultaneously modeling differential testlet functioning and differential item functioning: Addressing variance heterogeneity with a multigroup one-Parameter testlet model. Measurement: Interdisciplinary Research and Perspectives, 17(2), 93-105.
Liang, X., Yang, Y., & *Huang, J. (2018). Evaluation of structural relationships in autoregressive cross-lagged models under longitudinal approximate invariance: A Bayesian analysis. Structural Equation Modeling: A Multidisciplinary Journal, 25(4), 558-572.
Liang, X., Koo, J., Yurekli, H., Paek, I., Becker, B.J., Binici, S., & Fukuhara, H. (2017). An empirical investigation of item-pool and year-to-year equating plans using large-scale assessment data. Florida Journal of Educational Research, 55(1), 1-18.
Liang, X., & Yang, Y. (2016). Confirmatory factor analysis under violations of structural and distributional assumptions: A comparison of robust maximum likelihood and Bayesian estimation methods. Journal of Psychological Science, 39(5), 1256-1267. doi:10.16719/j.cnki.1671-6981.20160536
Liang, X. (2015). Challenges and Opportunities for International Students in Graduate Education. International Journal of Adult Vocational Education and Technology, 6(4), 30-39. doi:10.4018/IJAVET.2015100104
Darabi, A., Arrastia-Lloyd, M. C., Nelson, D. W., Liang, X., & Farrell, J. (2015). Learning how the electron transport chain works: independent and interactive effects of instructional strategies and learners’ characteristics. Advances in Health Sciences Education, 20(5), 1135-1148. doi.org/10.1007/s10459-015-9592-2
Liang, X., & Yang, Y. (2014). An evaluation of WLSMV and Bayesian methods for confirmatory factor analysis with categorical indicators. International Journal of Quantitative Research in Education, 2(1), 17-38.
Darabi, A., Liang, X., Suryavanshi, R., & Yurekli, H. (2013). Effectiveness of online discussion strategies: A Meta-Analysis. American Journal of Distance Education, 27(4), 228-241.
Yang, Y., & Liang, X. (2013). Confirmatory factor analysis under violations of distributional and structural assumptions. International Journal of Quantitative Research in Education, 1(1), 61-84.
Darabi, A., Arrastia, M.C., Nelson, D.W., Cornille, T., & Liang, X. (2011). Cognitive presence in asynchronous online learning: A comparison of four discussion strategies. Journal of Computer Assisted Learning, 27(3), 216-227.
Darabi, A., Nelson, D.W., Meeker, R., Liang, X., & Boulware, W. (2010). Effect of worked examples on mental model progression in a computer-based simulation learning environment. Journal of Computing in Higher Education, 22(2), 135-147.
Darabi, A., Hemphill, J., Nelson, D.W., Boulware, W., & Liang, X. (2010). Mental model progression in learning the electron transport chain: effects of instructional strategies and cognitive flexibility. Advances in Health Sciences Education, 15(4), 479-489.
Editorial Board Member: Journal of Psychoeducational Assessment (2016-present)
Co-Chair (2018-2020), Annual Meeting Program Review Committee - AERA Division D Section 2: Statistical Theory and Quantitative Methodologies
Awardee, Significant Research Award, RHRC, University of Arkansas (2019)
Nominee, Significant Research Award, COEHP, University of Arkansas (2019)
Nominee, Rising STAR (Research, Teaching, Advising, Service), COEHP, University of Arkansas (2018)
New Faculty Commendation for Teaching Commitment (2017).
Distinguished Paper Award, Consortium of State and Regional Educational Research Associations (SRERA), American Educational Research Association (2015).
Distinguished Paper of the Year Award, Florida Educational Research Association (2014).