My Research ID’s

Currently, I have two main resources to for you to check out my published work: ORCID ID and ResearchGate. Feel free to check these out and let me know what you think, especially if you’d like to collaborate.

Data Science & Discovery Unit

I am the Managing Director of the Data Science & Discovery Unit (DSDU) within the Office of Research Services at Utah State University. This link explains some of the duties of the DSDU and how it relates to one of the other similar units in the Office of Research Services.

One of the goals of the unit is to help individuals access, understand, and communicate their data. As Steven Levitt, the co-author of Freakonomics, said

“Data, I think, is one of the most powerful mechanisms for telling stories. I take a huge pile of data and I try to get it to tell stories.”

In the unit, we help train in basic data manipulation and cleaning such as shown here by Garrick.

Methodological Development in Complex Data

As a researcher, I am a methodologist, both in development of new methodologies and the application of modern methodologies to complex data. Two areas in which complex data are common, but approaches to analyze them are few, include mediation analysis and conversational analyses. To improve mediation analysis, we have developed a new framework for using mediation analysis in categorical and non-normal data situations. This, although in dissertation form, is being prepared for peer-reviewed publication. At some future point, I believe that mediation analysis, in this more flexible form, can also help inform on the ways in which communication succeeds or fails. Another promising approach to understanding how communication succeeds or fails is measurement of the communication phenomenon of conversational entrainment. Our work here, in conjunction with Stephanie Borrie, Visar Berisha, and Megan Willi—although relatively new—provides an approach to using both expert clinical assessments and objective acoustic-prosodic measures to understand complex conversational phenomena. It increases the amount of information that is used in the final estimates and measures used. Ultimately, my work aims to increase the interpretability and replicability of research in complex data situations, particularly those situations relevant to communication.

Some of my recent work is cited below (for a complete list, visit my ResearchGate account).

  1. Barrett, T.S. (2018). Marginal Mediation Analysis: A New Framework for Interpretable Mediated Effects. (Doctoral Dissertation).
  2. Barrett, T.S. & Brignone, E. (2017). Furniture for quantitative scientists. R Journal, 9(2), 142-146.
  3. Borrie, S.A., Barrett, T.S., Willi, M, and Berisha, V. (in revision). Syncing up for a good conversation: A clinically-meaningful methodology for capturing conversational entrainment in the speech domain. Journal of Speech, Language, and Hearing Research.
  4. Barrett, T.S., Wylie, A., Vogel, B., Sanghavi, K., Raspa, M., Aveni, K.P., Tullis, K., Caggana, M, White, K.R., & Bodurtha, J. (in press). Where Do We Go from Here? The Need for Genetic Referrals in Patients who are Deaf or Hard of Hearing: Findings from a Regional Survey. Journal of Early Hearing Detection and Intervention.
  5. Barrett, T.S. & White, K.R. (2017). Trends in hearing loss among adolescents. Pediatrics, 140(6), e20170619.
  6. Barrett, T.S. & White, K. R. (2016). Prevalence and trends of childhood hearing loss based on federally-funded national surveys: 1994–2013. Journal of Early Hearing Detection and Intervention, 1(2), 8-16.
  7. Doutré, S. M., Barrett, T.S., Greenlee, J., & White, K. R. (2016). Losing ground: Awareness of congenital cytomegalovirus in the United States. Journal of Early Hearing Detection and Intervention, 1(2), 39-48.