Quantitative Methds I
- VPR Brain and Behavioral Health Working Group. 04/2022 - present. Position : Member.
- VPCAT. 03/2022 - present. Position : Scientific Member .
- UIT Computing Oversight Committee, University of Utah. 03/2022 - present. Position : Member.
- RPT review representative for Anu Asnaani, University of Utah. 01/2022 - present. Position : review representative.
Courses I Teach
Quantitative Methods I
Part one of a two-semester sequence providing a graduate-level examination of statistical procedures in the field of psychology. Topics covered during the two semesters include: sampling distributions, probability, t tests, analysis of variance, correlation, simple regression, nonparametric statistics, multiple regression, data transformations, and the logic of null hypothesis testing.
Multilevel modeling is a flexible analytic approach for the examination of non-independent observations. Common examples of non-independence in the social sciences are when studying groups of related individuals (e.g., married couples, parents and children, students in a classroom, etc.) change over time. These nested data structures violate the assumptions of many traditional methods of data analysis, while multilevel models are specifically designed to accurately accommodate these data complexities. This course emphasizes conceptual understanding of statistical issues unique to nested data structures, specification and estimation of multilevel models using statistical software, and interpretation of results. Time is split between covering conceptual material in lecture and using statistical software to estimate multilevel models in the computer labs.
Adv. Method. and Statistical Issues in Dyadic Res.
Seminar-style working group whose aim is to provide exposure to and instruction in the application of advanced statistical methods to dyadic research questions. The course is organized around a single research question or idea that provides a framework for substantive readings used to articulate a testable hypothesis or hypotheses, statistical and methodological readings to learn advanced methods for testing hypotheses, analysis of real to practice implantation of advanced methods, and interpretation of results with regard to implications for theory.
Etiology and Treatment of Relationship Distress
This is a seminar-style course that provides an introduction into the origins of relationship distress, conceptual models of how relationship distress is related to relational, psychological, and physical health outcomes, and couple-based interventions for treating these outcomes.
- Biobehavioral model of working alliance in couple therapy. Project Lead: Carlene Deits-Lebehn. Collaborators: Tim Smith, Katherine Baucom. 01/04/2016 - 06/2019.
- Couple therapy for co-morbid Metabolic Syndrome and relationship distress. Project Lead: Katherine Baucom. Collaborators: Brian Baucom. VP for Research Seed grant 01/04/2016 - 12/2018.
- Effectiveness of couple therapy delivered by trainees. Project Lead: Brian Baucom. Collaborators: Katherine Baucom. 08/2014 - present.
- Honors Thesis. Travis Boren. 10/18/2016 - 05/01/2017