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I am an assistant professor at the University of Miami in the Department of Psychology. In my research I identify areas where available methods may not be appropriate for psychological data or a research question may not be addressed using standard analysis techniques.I have advanced training in latent variable modeling, including extensions for longitudinal data, missing data, categorical and non-normal variables, and measurement error. I received my training in Quantitative Psychology and a minor in Biostatistics at the University of North Carolina at Chapel Hill, where I completed my Ph.D. in 2016. I joined the faculty at the University of Miami in 2016. Through my teaching and research, I aim to disseminate methodological tools that improve our understanding of psychological processes and improve the replicability of psychological research.

Meet Sierra

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Projects

Through my teaching and research, I aim to disseminate methodological tools that improve our understanding of psychological processes and improve the replicability of psychological research.

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Best Practices for Addressing Missing Data through Multiple Imputation

The practical difficulties I have encountered estimating innovative structural equation models with psychological data sparked my interest in Bayesian approaches to overcome current estimation challenges. 

ShinySSVS Update

New version of ShinySSVS can be used for binary or continuous outcome variables.

Check out lab member Zachary Goodman’s recent paper in Cerebral Cortex

Whole-brain functional dynamics track depressive symptoms severity.

  • github
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Sierra Bainter, Ph.D.
Assistant Professor, Department of Psychology
University of Miami

© 2022 by Sierra Bainter

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