Tracy Sweet

Research Interests

Social network analysis, Bayesian statistics, statistical modeling, data science, machine learning

Bio

Tracy Sweet is an Associate Professor in the Measurement, Statistics and Evaluation program in the Department of Human Development and Quantitative Methodology. She completed her Ph.D. in Statistics at Carnegie Mellon University. Her research focuses on statistical social network models with particular focus on the types multilevel network models needed for education data as well as how data science methods such as machine learning algorithms should be applied to multilevel data.

Honors & Awards

University of Maryland College of Education Pre-tenure Scholarship Award 2016

Publications

Recent Publications:

Sweet, T.M., Flynt, G., & Choi, D. (in press). Clustering ensembles of social networks. Network Science.

Sweet, T.M., (2019). Modeling social networks as mediators: A mixed membership stochastic blockmodel for mediation. Journal of Educational and Behavioral Statistics 44(2), 210-240.

Sweet, T.M. and Zheng, Q. (2018). Incorporating network-level covariates into hierarchical mixed membership stochastic blockmodels. Social Networks, 52(1), 100-114.

Spillane, J., Shirrell, M. & Sweet, T.M. (2017). Social geography and work-related intra-organizational ties: Exploring physical proximity and social interactions in the schoolhouse. Sociology of Education, 90(2), 149-171.

Hopkins, M., Ozimek, D., & Sweet, T.M. (2017). Mathematics coaching and instructional reform: Individual and collective change. Journal of Mathematical Behavior, 46, 215- 230.

Sweet, T.M. and Zheng, Q. (2017). A model-based measure for subgroup integration in social networks. Social Networks, 48(1), 169-180.

Sweet, T.M. (2016). Social network methods for the educational and psychological sciences. Educational Psychologist, 51(3), 381-394. 1

Sweet, T.M. and Junker, B.W. (2016). Power to detect intervention effects on ensembles of social networks. Journal of Educational and Behavioral Statistics, 41(2), 180-204.

Sweet, T.M. (2015). Incorporating covariates into stochastic blockmodels. Journal of Educational and Behavioral Statistics 40(6), 635-664.

Grants & Projects

Maryland Longitudinal Data Systems Center: Research Branch. Maryland State Department of Education. Associate Director of Research. July 2019 - June 2020. $104,272.

Quantitative Research Methods for STEM Education Scholars Program. NSF Award #1937745. Co-I. Aug 2019 - July 2022. $996,074.

An Intervention to Promote Positive Peer Relationships and Reduce Prejudice and Bias . NIH. Co-I Sept 2019 - Aug 2023. $2,065,274.

Hierarchical Network Models: Mediation and Influence. IES (US Dept of ED) Award #305D150045. PI. July 2015 - June 2019. $828,211.

Hierarchical Network Models for Education Research: Social Networks as Mediating Variables. University of Maryland Pre-tenure Award: Support Program for Advancing Research and Collaboration. PI. Summer 2014. $15,000.

Courses

Spring 2020: EDMS 787

Fall 2018, Fall 2019: EDMS 655

Spring 2018: EDMS 665

Fall 2017: EDMS645, EDMS769M

Fall 2016: EDMS646

Spring 2016: EDMS787

Labs

EDMS PCS Lab