- Power and sample size calculations for logistic regression tests for differential item functioning. (Li, Z.) Journal of Educational Measurement. (2014)
- A power formula for the SIBTEST procedure for differential item functioning. (Li, Z.) Applied Psychological Measurement. (2014)
- The effect size for simultaneous item bias test. (Li, Z.) In JSM Proceedings, Social Statistics Section. Boston, MA: American Statistical Association. (2014)
- A generalized formula for the power of the Mantel-Haenszel test for differential item functioning. (Li, Z.) Applied Psychological Measurement. (2015)
- Adolescent judgments and reasoning about the exclusion of peers with social disabilities. (with Bottema-Beutel, K.) Journal of Autism and Developmental Disorders.(in press)
- Violence exposure and mental health among adolescents: The role of ethnic identity and help seeking. (with Tummala-Narra, P., Liu, T., & Wang, Y.) Psychological Trauma: Theory, Research, Practice, and Policy. (2013)
- plRasch 1.0: Fit Log Linear by Linear Association models and Rasch family models. (with Hong, F.) R package available at http://cran.r-roject.org/web/packages/plRasch/index.html (2013)
- A stochastic method for balancing item exposure rates in computerized classification tests. (with Huebner, A.) Applied Psychological Measurement. (2012)
- Teachers’ technological readiness for online professional development: Evidence from the US e-Learning for educators initiative. (with Reeves, T. ) Journal of Education for Teaching. (2012)
- Individual and systemic factors in clinicians’ self-perceived cultural competence. (with Tummala-Narra, P. ,Singer, R., et al.) Professional Psychology: Research and Practice. (2012)
- Using three legacy measures to develop a health-related quality of life tool for young adult survivors of childhood cancer. (with Huang, I., Quinn, G., et al.).Quality of Life Research. (2011)
- Estimation of models in a Rasch family for polytomous items and multiple latent variables. (with Anderson, C. J., & Vermunt, J. K. ). Journal of Statistical Software. (2007)
- 2014 Research Expense grant. Role: Principal Investigator. Generalized Formula for Power and Sample Size for Logistic Regression DIF in the Context of Item Response Theory ($2000) Funded by Boston College, 2014-2015
- 2014 Academic Technology Innovation Grant. Role: PI. Technology Enhanced Teaching: Animated Visual Demonstration of Statistical Concepts and Analysis ($13,000). Funded by Boston College.
- 2012 NSF grant. Role: Co-Principal Investigator. DIP: Using dynamic formative assessment models to enhance learning of the experimental process in biology ($1,333,395).(PI: Meir, E., co-PI: Abraham, J.,Kopfer, E., Li, Z.) Funded by the National Science Foundation, 2012-2016.
- 2012 Research Incentive grant. Role: Principal Investigator. Explanatory item response theory models with multidimensional latent traits ($15,000). Funded by Boston College, 2012
- 2011 Research Expense grant. Role: Principal Investigator. Multi-category item response modeling in the context of outcome measurement ($2,000). Funded by Boston College, 2011-2012
- 2011 Teaching, Advising, Mentoring Expense grant ($1,126). Funded by Boston College,2011
Selected Conference Papers
- Li, Z. (2014, April). The effect size for simultaneous item bias test. Paper presented at the Joint Statistical Meeting, Boston, Massachusetts.
- Jiang, J., Li, Z. (2014, April). Application of multidimensional item response theory models in large-scale assessment: three-way comparisons on PISA data. Paper presented at the Annual Meeting of New England Educational Research Organization, Dover, VT.
- Li, Z. (2014, April). Log-linear item response theory model for person-by-item interactions. Paper presented at the Annual Meeting of American Educational Research Association, Philadelphia, Pennsylvania.
- Li, Z. (2013, August). A power formula for the SIBTEST procedure for differential item functioning. Invited talk at the Department of Statistics at University of South Carolina, Columbia, SC
- Li, Z. (2013, April). Expanding applicability of explanatory item response models through a log-linear model framework. Invited talk at the Annual Meeting of the National Council on Measurement in Education, San Francisco, CA.