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  • Shelley Blozis

    Shelley Blozis

    Associate Professor

        University of California, Davis
    Phone: 530.754.9457
    Office: 102J Young Hall


    Curriculum Vitae


    Lab Website

    Research Interests

    Statistical procedures commonly applied to behavioral data, such as factor analysis, structural equation models, and mixed-effects models, fall under a general statistical framework based on the means, variances and covariances of data. My research concerns extensions and applications of this general framework to the study of clustered, repeated measures, and longitudinal data. For data observed over time, researchers are often interested in characterizing normative change, as well as studying individual differences in change by documenting evidence that individuals differ in their degree or form of change and possibly attempting to account for individual differences by including person-level or contextual variables in the model. Popular methods for the study of clustered data, commonly known as hierarchical linear models, multilevel models, and mixed-effect models, are routinely applied to repeated measures and longitudinal data. A general difference in the application is that models for repeated measures and longitudinal data typically involve functions of time, in addition to other important predictors. A desirable feature of this framework is that individuals need not be observed at the same time points and missing data are, in general, easily handled. In addition, many different forms of change may be modeled.

    In addition to methodological work, I have 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.

    I currently serve as Consulting Editor for Psychological Methods and Associate Editor of the Dictionary of Statistics for the American Psychological Association. I have conducted ad hoc reviews for the National Science Foundation and several professional journals, including Developmental Psychology, Psychological Methods, Prevention Science, Applied Psychological Measurement, Journal of Statistics Education, Structural Equation Modeling, American Psychologist, Journal of Social and Clinical Psychology, Psychological Science, Behavior Research Methods, Drug and Alcohol Dependence, Journal of Experimental Psychology: Learning, Memory and Cognition, Psychology and Aging, The Business Journal of Hispanic Research, Psychology of Addictive Behaviors, Seeing and Perceiving, Journal of Educational and Behavioral Statistics, Experimental Aging Research, Statistical Methods in Medical Research.