Faculty & School/Dept.
Faculty of Health - Department of Psychology
Ph.D - 2021
University of British Columbia
Zhang, X., Astivia, O.L.O., Kroc, E., & Zumbo, B.D. (In Press). How to think clearly about Central Limit Theorem. Psychological Methods
Zhang, X., & Savalei, V. (In Press). New computations for RMSEA and CFI following FIML and TS estimation with missing data. Psychological Methods.
Zhang, X., & Savalei, V. (2019). Examining the effect of missing data on RMSEA and CFI under the normal theory full information maximum likelihood. Structural Equation Modeling, 27, 219-239. https://doi.org/10.1080/10705511.2019.1642111
Zhang, X., Tse, WW-Y., & Savalei, V. (2019). Improved properties of the Big Five Inventory and the Rosenberg Self-Esteem Scale in the Expanded format relative to the Likert Format. Frontiers in Psychology, 10:1286. https://doi.org/10.3389/fpsyg.2019.01286
Zhang, X., & Savalei, V (2018). Investigating the effect of missing data on the population CFI and RMSEA values. Multivariate Behavioral Research, 53, 147. https://doi.org/10.1080/00273171.2017.1405787
Zhang, X., Noor, R., & Savalei, V. (2016). Examining the effect of reverse worded items on the factor structure of the Need for Cognition Scale. PLOS ONE 11(6): e0157795. https://doi.org/10.1371/journal.pone.0157795
Zhang, X., & Savalei, V. (2016a). Bootstrapping confidence intervals for fit indices in structural equation modeling. Structural Equation Modeling, 23, 392-408. https://doi.org/10.1080/10705511.2015.1118692
Zhang, X., & Savalei, V. (2016b). Improving the factor structure of psychological scales: The Expanded format as an alternative to the Likert scale format. Educational and Psychological Measurement, 76, 357-386. https://doi.org/10.1177/0013164415596421
Quantitative Methods Research Paper Award of the Canadian Psychological Association - 2020
Currently available to supervise graduate students: Yes
Currently taking on work-study students, Graduate Assistants or Volunteers: Yes
Available to supervise undergraduate thesis projects: Yes