Profile Image

Shelley Blozis

Adjunct Professor

Part-Time Faculty
Full-Time Faculty
Socials

Biography

Professor Shelley Blozis received a doctorate in quantitative psychology from the University of Minnesota. Her expertise in quantitative methods focuses on repeated measures, longitudinal data, and missing data techniques. She has used her expertise to help corporations understand consumer behavior and segmentation, and has consulted for a large metropolitan utility provider and a global corporation to provide consumer insights and forecasting.

Professor Blozis has been a member of multiple professional organizations, including the Psychometric Society, the American Statistical Association, the American Psychological Association and the American Psychological Society. She currently serves as consulting editor for Psychological Methods, associate editor and senior statistical editor for Health Psychology, and associate editor of the Dictionary of Statistics and Research Methods in Psychology for the American Psychological Association.

Expertise

  • Statistics
  • Psychometrics

Research Areas

  • Quantitative Psychology
  • Marketing Analytics

Education

  • PhD, Psychology, University of Minnesota
  • MA, Psychology, California State University, Fullerton
  • BA, Psychology, California State University, Fullerton

Selected Publications

  • Blozis, S. A., McTernan, M., Harring, J., & Zheng, Q. (2020). Two-part mixed-effects location scale models. Behavior Research Methods. 10.3758/s13428-020-01359-7

  • 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 Research Methods.

  • 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 and Research.