Faculty & Staff Directory
Department of Psychology
University of South Carolina
|Office:||Barnwell 525||Phone Number:||(803) 777-4137|
Dr. Fairchild joined the Department of Psychology in fall 2008, after graduating from Arizona State University in 2008 with a PhD in Quantitative Psychology. Dr. Fairchild's primary research foci involve statistical mediation analysis and how this area of methodology can enhance the science of prevention, particularly for developmental trajectories of substance use and other health outcomes.
Dr. Fairchild’s most recent research stems from her role as PI on an R01 grant awarded from the National Institute of Drug Abuse, “Mediation in Survival and Onset-to-Growth Models Applied to Youth Substance Onset.” This grant focuses on developing methodology for studying developmental pathways leading to onset of health-related outcomes over time. In particular, the project aims to study statistical mediation analysis with discrete-time survival outcomes and onset-to-growth models via statistical simulation work and application to real data.
In addition to her primary research in methodology, Dr. Fairchild also collaborates with several colleagues on substantive research projects. This substantive work covers a variety of domains including prevention of child maltreatment, behavioral neuroscience research in HIV-AIDS and addiction, as well as work with special populations such as Fragile X. These endeavors have manifested in a variety of NIH-funded projects.
* indicates student co-author
*Santoso, A. & Fairchild, A.J. (2016). Mediation analysis using quantile regression. Multivariate Behavioral Research. Under review.
Fairchild, A. J., *Abara, W.E., Gottschall, A.C., Tein, J.Y., & Prinz, R.J. (2015). Improving our ability to evaluate underlying mechanisms of behavioral onset and other event occurrence outcomes: A discrete-time survival mediation model. Evaluation and the Health Professions, 38, 315-342.
Fairchild, A.J., & MacKinnon, D.P. (2014). Using mediation and moderation analyses to enhance prevention research. In Z. Sloboda & H. Petras (eds.) Advances in Prevention Science, Vol 1. Defining Prevention Science (pp. 537-555). New York, NY: Springer. doi:10.1007/978-1-4899-7424-2_23
Enders, C.K., Fairchild, A.J. & MacKinnon, D.P. (2013). Using Bayesian parameter simulation to evaluate mediation effects with missing data. Multivariate Behavioral Research, 48 340-369.
Fairchild, A.J., & *McQuillin, S. (2010). Evaluating mediation and moderation effects in school psychology: A presentation of methods and review of current practice. Journal of School Psychology, 48, 53-84.
MacKinnon, D.P., & Fairchild, A.J. (2009). Current directions in mediation analysis. Current Directions in Psychology, 18, 16-20.
Fairchild, A.J., MacKinnon, D.P., Taborga, M.P., & Taylor, A.B. (2009). R2 effect size measures for mediation analysis. Behavioral Research Methods, 41, 486-498.
Fairchild, A.J., & MacKinnon, D.P. (2009). A general model for testing mediation and moderation effects. Prevention Science, 10, 87-99.
MacKinnon, D.P., Fairchild, A.J., & Fritz, M.S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593-614.