Xavier Li, Ph.D.
Courses Taught
Analytics, Evidence-Based Decision Making
Education
Ph.D., Statistics, Measurement and Evaluation in Education, University of Missouri, 2018
Research Interests
Direction of effect and causality, effect variability, applied measurement, teacher and school effectiveness
Publications and Media Placements
Peer-reviewed Journals
• Kim, J., Li, X*, & Bergin, C. (2024). Characteristics of effective feedback in teacher
                  evaluation. Educational Assessment, Evaluation and Accountability (* equal co-first
                  author)
• Li, X. Martens, M. & Wiedermann, W. (2023). Conditional direction of dependence
                  modeling: Application and implementation in SPSS. Social Science Computer Review.
                  (cited by 4)
• Huang, F. L., Zhang, B. & Li, X. (2022). Using robust standard errors for the analysis
                  of binary outcomes with a small number of clusters. Journal of Research on Educational
                  Effectiveness. (cited by 4)
• Li, X., Bergin, C. & Olsen, A. (2022). Positive teacher-student relationships may
                  lead to better teaching. Learning and Instruction. (cited by 60)
• Huang, F. L. & Li, X. (2021). Using cluster robust standard errors when analyzing
                  cluster randomized trials with few clusters. Behavior Research Methods. (cited by
                  18)
• Li, X., Zhao, L.& Lee S. (2020). Measuring user experiences with e-sourcing platforms:
                  The development of the e-sourcing experience index. Journal of Fashion Marketing and
                  Management. (cited by 4)
• Wiedermann, W., & Li, X. (2020). Confounder detection in linear mediation models:
                  Performance of kernel-based tests of independence. Behavior Research Methods. (cited
                  by 13)
• Li, X., Wiedermann, W. (2020). Conditional direction dependence analysis: Evaluating
                  the causal direction of effects in linear models with interaction terms. Multivariate
                  Behavioral Research. (cited by 13)
• van Wie, M.P., Li., X. & Wiedermann, W. (2019). Identification of confounded subgroups
                  using linear model-based recursive partitioning. Psychological Test and Assessment
                  Modeling. (cited by 6)
• Wiedermann, W., Li, X., & von Eye, A. (2018). Testing the causal direction of mediation
                  effects in randomized intervention studies. Prevention Science. (cited by 16)
• Wiedermann, W., & Li, X. (2018). Direction dependence analysis: Testing the direction
                  of effects in linear models with implementation in SPSS. Behavior Research Methods.
                  (cited by 49)
Statistical Software
• Huang, F. L., Zhang, B. & Li, X. (2022). Using SPSS for Cluster Robust Regression
                  Analysis of Binary Outcomes (version 1.4). https://github.com/flh3/CR2/tree/master/SPSS
• Li, X., & Wiedermann, W. (2020). Conditional Direction Dependence Analysis in Linear
                  Models with SPSS Macros and Custom Dialogue Implementation (version 1.1) (Software)
                  http://www.ddaproject.com/.
• Li, X., & Wiedermann, W. (2020). Using SPSS to Test the Direction of Effects in
                  Reversible Linear Models: Custom Dialogs for Direction Dependence Analysis (version
                  2.1) (Software) http://www.ddaproject.com/.
• Huang, F. L. & Li, X. (2020). Using SPSS for Cluster Robust Regression Analysis.
                  (Software) https://github.com/flh3/CR2/tree/master/SPSS
• Wiedermann, W., & Li, X. (2018). Direction Dependence Analysis in R. (Software)
                  http://www.ddaproject.com/. 
• Li, X., & Wiedermann, W. (2017). Direction Dependence Analysis: SPSS macros to test
                  the direction of effects in linear models. (Software) http://www.ddaproject.com/.
Book Chapters
• Li, X., & Wiedermann, W. (2020) On the Causal Relation of Academic Achievement and
                  Intrinsic Motivation: An Application of Direction Dependence Analysis Using SPSS Custom
                  Dialogs. In W. Wiedermann, D. Kim, E. Sungur & A. von Eye(Eds.) Direction Dependence
                  in Statistical Models: Methods of Analysis.
• Wiedermann, W., & Li, X. (2020). Direction Dependence Analysis: Statistical Foundations
                  and Applications. In W. Wiedermann, D. Kim, E. Sungur & A. von Eye(Eds.) Direction
                  Dependence in Statistical Models: Methods of Analysis.
Professional Organizations and Associations
American Educational Research Association
Association for Education Finance and Policy 
Association for Psychological Science
Community Work and Service
Frontiers in Psychology. Review Editor