Students and Fellows

Current Doctoral Students

Veronica Veronica Cole, M.A.
2005-2009 – B.A., Psychology, Wellesley College
2011-2014 – M.A., Quantitative Psychology, UNC Chapel Hill

Thesis: Modeling complex longitudinal data from heterogeneous samples using longitudinal latent profile analysis

Dissertation (in progress): Adapting Mixture Models to Take into Account Measurement Non-Invariance

Veronica is interested in methodological issues surrounding latent variable modeling frameworks — particularly mixture models, multilevel models, and integrative data analysis (IDA) — with a focus on answering questions in substance abuse and developmental psychopathology research.

Nathan Nathan Markiewitz, B.S.
2011-2015 – B.S., Cognitive Studies and English, Vanderbilt University

Thesis (in progress): The ordinal count factor model: an improved latent variable model for ordinal count items

Nathan focuses on improving the measurement and modeling of categorical and continuous latent variables, including applications in integrative data analysis, to support research on developmental psychopathology.

Former Doctoral Students

Ruth Ruth Baldasaro, Ph.D.
2003-2007, B.A., Mathematics/Statistics and Psychology, Luther College, Decorah, IA
2007-2010, M.A., Quantitative Psychology, UNC Chapel Hill
2010-2012, Ph.D., Quantitative Psychology, UNC Chapel Hill

Thesis: Evaluating latent variable interactions with structural equation mixture models

Dissertation: Person level analysis in latent growth curve models

Current Position: Data Scientist in the SAS Advanced Analytics Lab at SAS Institute

Dr. Baldasaro identifies data analysis needs, explores client data, builds analytic models, develops analysis reports, and presents reports to customers. Her projects have focused on identifying health insurance fraud, waste and abuse and detecting fraud for state and local governments.

Danielle Dean, Ph.D.
2006-2010 – B.S., Psychology, BDIC in Organizational Behavior & Statistical Analysis, University of Massachusetts Amherst
2010-2012 – M.A., Quantitative Psychology, UNC Chapel Hill
2012-2015 – Ph.D., Quantitative Psychology, UNC Chapel Hill

Thesis: A discrete-time multiple event process survival mixture MEPSUM model for investigating the order and timing of multiple non-repeatable events

Dissertation: Utilizing multilevel event history analysis to model temporal characteristics of friendships unfolding in discrete-time social networks

Current Position: Senior Data Scientist Lead at Microsoft

Danielle leads a team of data scientists and engineers working with other companies to solve business problems using Microsoft’s Cortana Analytics Suite. She utilizes survival analysis, mixture modeling, and machine learning models with a special focus on solving IOT (Internet of Things), predictive maintenance, and healthcare related use cases.

Gottfredson Nisha Gottfredson, Ph.D.
2002-2006 – B.A., Psychology, Minor, Math, Pitzer College, Claremont, CA
2006-2008 – M.A., Quantitative Psychology, UNC Chapel Hill
2008-2011 – Ph.D., Quantitative Psychology, UNC Chapel Hill

Thesis: An empirical evaluation of the disaggregated effects of educational diversity in a national sample of law schools (Adviser: Abigail Panter)

Dissertation: Evaluating shared parameter mixture models for analyzing change in the presence of non-randomly missing data

Current Position: Assistant Professor in the Department of Health Behavior at the UNC Gillings School of Global Public Health

Dr. Gottfredson applies and develops statistical models used for understanding processes that unfold within individuals over time. She specializes in modeling nested data structures (e.g., multilevel and structural equation models), mixture models and psychometric measurement. Her current applied research examines self-regulatory methods used during addiction recovery and unpacks the nature of co-morbidity across substance use disorders and eating disorders.

Sterba Sonya Sterba, Ph.D.
1998-2002 – B.A., Psychology and Education, Brown University
2003-2005 – M.A., Clinical Psychology, UNC Chapel Hill
2005-2010 – Ph.D., Quantitative Psychology, UNC Chapel Hill

Dissertation: Recovery of predictor relationships via semiparametric and parametric growth models under misspecification

Current Position: Associate Professor in the Quantitative Methods Program in the Psychology and Human Development Department at Vanderbilt University

Dr. Sterba conducts research on latent variable models for longitudinal and cross-sectional data, mixture models, and multilevel models, with a focus on advancing developmental psychopathology research.

Former Post-Doctoral Fellows

SChrist_2012 Sharon Christ, Ph.D.
1990-1994 – B.A., Sociology, University of Minnesota
1998-2002 – M.A., Sociology, UNC Chapel Hill
2002-2004 – M.A., Statistics, UNC Chapel Hill
2004-2008 – Ph.D., Sociology, UNC Chapel Hill

Fellowship: Center for Developmental Science at the University of North Carolina at Chapel Hill (2008-2010)

Current Position: Assistant Professor in Human Development & Family Studies and the Department of Statistics

Dr. Christ’s research concerns quantitative methodologies in the social and behavioral sciences, including structural equation modeling, multilevel (hierarchical, random effects, mixed effects) models, longitudinal modeling, and analysis of complex sample data, with a substantive focus on the developmental consequences of adolescent maltreatment (abuse and neglect)

Andrew Andrew Schaper, Ph.D.
2000-2004 – B.A., English and Philosophy, Colorado College
2006-2007 – Teaching Credential, Seconday Education: English, San Francisco State University
2010-2014 – Ph.D., Education / Research Methodology, University of Oregon

Fellowship: Center for Developmental Science at the University of North Carolina at Chapel Hill (2014-2015)

Current Position: Senior Associate at Basis Policy Research , Denver CO

Dr. Schaper’s research interests focus on quantitative research methodologies in educational and behavioral sciences including multilevel modeling, longitudinal analysis and psychometric measurement, with a substantive focus on educational policy research, implementation and improvement science.