Dr. Barrett is interested in accepting students to work in his lab with a strong background in statistical or data analytical methods who are interested in convergence of data science, quantitative psychology, and public health.
Dr. Barrett is a Research Assistant Professor in the Department of Psychology at Utah State University. His research stems from a merging of data science, quantitative psychology, and public health. His main interest in the combination of these fields is developing methodologies and tools for complex human data. Arguably, academia has come short in providing useful, open-source tools for both research and the clinic. His lab—the Social Data Lab—seeks to develop tools that simplify, extend, or otherwise improve current approaches. Thus far, he has helped develop tools for streamlining data summarization, for automated scoring in common tests for communicative disorders, and is working on ways to ease data manipulation for those not comfortable with programming tools like R.
He also is an applied methodologist, working on projects funded by the NSF and NIH grants as the statistician on the various teams. His applied work is highly collaborative and often interdisciplinary. In addition to Dr. Barrett’s own research, he consults on data science issues for the College of Education and Human Services (including public health, education, psychology, and other social sciences).
Dr. Barrett also teaches methodology and statistical courses for both undergraduates and graduates, including EDUC 6050, EDUC 6600, EDUC 7610, and PSY 3500.
On a personal level, Dr. Barrett enjoys sports, hiking, and playing with his kids.