Professor of Psychology
- Ph.D., Psychology, University of Minnesota
- M.A., Psychology, California State University, Fullerton
- B.A., Psychology, California State University, Fullerton
In addition to her academic appointment, Shelley Blozis is an affiliated faculty member in the Center for Mind and Brain. She is currently serving as the Senior Statistical Editor and Senior Associate Editor of Health Psychology and consulting editor for Psychological Methods. She served as an associate editor of the Dictionary of Statistics and Research Methods in Psychology for the American Psychological Association.
Professor Blozis’ research concerns extensions and applications of statistical methods for clustered, repeated measures and longitudinal data. In addition to methodological work, she has developed a program of research based on health and social psychology. This has generated a line of research in collaboration with colleagues working in areas such as adolescent health, well-being, chronic illness, and drug and alcohol use, as well as health education and preventative medicine, health psychology, animal behavior and nursing.
LabLongitudinal and Missing Data Methods
- Blozis, S. A., McTernan, M., Harring, J., & Zheng, Q. (2020). Two-part mixed-effects location scale models. Behavior Research Methods.
- Harring, J. R., Strazzeri, M. M., & Blozis, S. A. (2020). Piecewise latent growth models: Beyond modeling linear-linear processes. Behavior Research Methods.
- Blozis, S. A., Villarreal, R., Thota, S., & Imparato, N. (2019). Using a two-part mixed-effects model for understanding daily, individual-level media behavior. Journal of Marketing Analytics, 7(4), 234-250.
- Blozis, S. A., & Harring, J. R. (2018). Fitting Nonlinear Mixed-effects Models With Alternative Residual Covariance Structures. Sociological Methods & Research.
- Blozis, S. A., & Harring, J. R. (2016). On the estimation of nonlinear mixed-effects models and latent curve models for longitudinal data. Structural Equation Modeling: A Multidisciplinary Journal, 23(6), 904-920.
- Harring, J. R., & Blozis, S. A. (2016). A Note on Recurring Misconceptions when Fitting Nonlinear Mixed Models. Multivariate Behavioral Research, 51(6), 805-817.
- Blozis, S. A., & Harring, J. R. (2015). Understanding individual-level change through the basis functions of a latent curve model. Sociological Research Methods, 46(4), 793-820.
- Harring, J. R., & Blozis, S. A. (2014). Fitting correlated residual error structures in nonlinear mixed-effects models using SAS PROC NLMIXED. Behavior Research Methods, 46, 372-384.
- Blozis, S. A., Ge, X., Xu, S.*, Natsuaki, M. N., Shaw, D. S., Neiderhiser, J. M., Scaramella, L. V., Leve, L. D., & Reiss, D. (2013). Sensitivity analysis of multiple informant models when data are not missing at random. Structural Equation Modeling, 20(2), 283-298.
- Xu, S.*, & Blozis, S. A. (2011). Sensitivity Analysis of a Mixed Model for Incomplete Longitudinal Data. Journal of Educational & Behavioral Statistics, 36, 237-256.
- Blozis, S.A., & Cho, Y.I.* (2008). Coding and centering of time in latent curve models in the presence of interindividual time heterogeneity. Structural Equation Modeling, 15(3), 413-433.
Professor Blozis teaches courses in multilevel and longitudinal model.
Professor Blozis has received a number of awards throughout her career. In 2004, she received Faculty Travel Awards from the University of California, Davis, and the University of North Carolina, Chapel Hill. In 1999, she won the Faculty Research Award from the University Research Institute at The University of Texas at Austin and a Travel Award from the Institute for Science Education in Kiel, Germany. She has also been awarded grants from the National Science Foundation, the National Institute of Child Health and Human Development, and the National Institutes of Health.