Shelley Blozis

Shelley Blozis is a Professor at the University of California, Davis, with an academic appointment in the Department of Psychology. She is also an affiliated faculty member at the Center for Mind and Brain and serves as Chair of the UC Davis Olive Center. Her roles include Senior Statistical Editor and Senior Associate Editor of Health Psychology, and she has held editorial roles with Psychological Methods and the APA's Dictionary of Statistics and Research Methods in Psychology.

Education:

Shelley Blozis holds a Ph.D. in Psychology from the University of Minnesota, and both a Master's and Bachelor's degree in Psychology from California State University, Fullerton.

Research: Her research focuses on extending and applying statistical methods for clustered, repeated measures, and longitudinal data. She collaborates with researchers in health and social psychology, addressing topics like adolescent health, chronic illness, health education, and preventative medicine, as well as animal behavior and nursing. Her work emphasizes methodologies such as latent variable models and mixed-effects models to analyze complex data patterns.

Publications: Blozis's recent publications emphasize methodological advancements in statistical modeling, particularly in handling missing data, longitudinal analyses, and Bayesian approaches. Her work spans applications in health psychology, marketing, and animal behavior.

Awards and Grants:

• 2004 Faculty Travel Awards from UC Davis and UNC Chapel Hill
• 1999 Faculty Research Award from UT Austin
• Grants from NSF, NICHD, and NIH

Teaching and Administration: Blozis teaches courses in multilevel modeling and longitudinal data methods. Her administrative roles include leadership at the Olive Center and editorial responsibilities, reflecting her contributions to both research and academic administration.

Labs/Teams: Her research lab, 'Longitudinal and Missing Data Methods,' focuses on statistical procedures for behavioral data, including factor analysis, SEM, and mixed-effects models.