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Shelley Blozis


  • 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. From 2016-2022 she served 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. 

Research Focus

Professor Blozis carries out research on the 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, well as health education and preventative medicine, health psychology, animal behavior and nursing.

Selected Publications

Nestler, S., & Blozis, S. A. (2023).  A latent variable mixed-effects location scale model that also considers between-person differences in the autocorrelation. Statistics in Medicine.

Blozis, S. A., & Craft, M. (2023). Alternative residual covariance structures in mixed-effects models: Addressing intra- and inter-individual heterogeneity. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02133-1

Blozis, S. A. (2023). Bayesian pattern-mixture models for drop out and intermittently missing data in longitudinal data analysis. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02128-y

Blozis, S. A. (2022). A latent variable mixed-effects location scale model for longitudinal data with an application to daily diary data. Psychometrika, 87, 1548–1570.

Blozis, S. A. (2022). Bayesian two-part multilevel model for longitudinal media use data. Journal of Marketing Analytics, 10, 311–328.

Blozis, S. A., & Harring, J. R. (2021). Fitting nonlinear mixed-effects models with alternative residual covariance structures. Sociological Methods & Research, 50(2), 531-566.

Harring, J. R., Strazzeri, M. M., & Blozis, S. A. (2021). Piecewise latent growth models: Beyond modeling linear-linear processes. Behavior Research Methods, 53, 593-608. https://doi.org/10.3758/s13428-020-01420-5

Blozis, S. A., McTernan, M., Harring, J., & Zheng, Q. (2020). Two-part mixed-effects location scale models. Behavior Research Methods, 52, 1836–1847.https://doi.org/10.3758/s13428-020-01359-7

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, 23(6), 904-920.

Blozis, S. A., & Harring, J. (2015). Understanding individual-level change through the basis functions of a latent curve model. Sociological Methods & Research.

McTernan, M., & Blozis, S. A. (2015). Longitudinal models for  ordinal data with many zeros and varying numbers of response categories. Structural Equation Modeling, 22(2), 216-226

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 modeling and methods for analyzing longitudinal data and handling missing data.


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.