Marcus Harris

Educational Psychology

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Marcus Harris is a second-year PhD student in the University of Connecticut’s Research Methods, Measurement, and Evaluation program. After completing a Master’s of Public Policy and a Master’s of Educational Policy at Arizona State University he decided to explore his passion for methodological innovation and data-driven research. His profile includes the following:

Research Interests:

– DSEM (latent multilevel time series)

– Data Science

– Psychometrics/Measurement Modeling (MLM, SEM, IRT, Time Series)

– Methodology (meta-research)

– Simulations

Past Projects:

Marcus has conducted research that compared data science methodologies to traditional education and psychological approaches using simulations. Currently, his focus is on Dynamic Structural Equation Models (DSEM), which is a combination of latent variable models, multilevel methods, and intensive time series analysis. He is keen on utilizing data science techniques to explore causal relationships using DSEM models.

Advisor:

He is fortunate to be mentored by Dr. Betsy McCoach, and their work often involves simulating a priori models, similar to ‘experimental mathematics’ (Ripley, 2009).

Future Career Goals:

Marcus’s long-term aspiration is to become a research professor at an R1 university. He aims to contribute to the full cycle of methodological development, from theory to (software) application. His work lies at the intersections of Psychometrics, Data Science, and Public Policy, where he seeks to create, evaluate, and propagate cutting-edge research and statistical methods.

He looks forward to connecting and collaborating with fellow students who share these interests.

Email: marcus.harris@uconn.edu

Linkedin profile: https://www.linkedin.com/in/marcus-harris-7aa277204/