Faculty and Staff Directory
Amanda J. Fairchild
College of Arts and Sciences
Curriculum Vitae [pdf]
Dr. Fairchild joined the Department of Psychology in Fall 2008, after graduating from Arizona State University with a PhD in Quantitative Psychology. She has been a Faculty Associate with the SmartState Center for Healthcare Quality in the Arnold School of Public Health since 2016 and a Faculty Affiliate with the Research Consortium on Children and Families since 2008.
Dr. Fairchild has centered her work on assessing and applying statistical techniques for prevention science, and translating innovative methods for applied researchers to promote best practice. These efforts have encompassed methodological research in statistical mediation and moderation analyses, psychometrics, and statistical pedagogy. Her work in statistical mediation analysis contemplates how we can advance methods to understand mechanisms of change, underlying reasons why variables relate, and etiological pathways of behavior and health. Her work in psychometrics considers how we can best construct valid inferences from quantitative measures of interest, and what factors impact the validity of those inferences. All of her methodological work has aimed to maximize the utility and impact of different statistical models across domains and different types of 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 juvenile justice and child welfare, as well as behavioral neuroscience in HIV-AIDS and special populations such as Fragile X.
*indicates student co-author
*McLaurin, K.A., … & Fairchild, A.J. (2019). Mediating mechanisms of neurocognitive decline in HIV-1 associated neurocognitive disorders. Brain Research.
Fairchild, A.J., Gupta-Kagan, J., & Stevens Andersen, T. (2019). Operationalizing Intake: Variations in Juvenile Court Intake Procedures and Their Implications. Children and Youth Services Review.
Maydeu-Olivares, A., Shi, D., & Fairchild, A.J. (2019). Estimating causal effects in linear regression models with observational data: The causal instrumental variables regression model. Psychological Methods.
Fairchild, A.J., … & Masyn, K. (2019). Evaluating a method to estimate mediation effects with discrete-time survival outcomes. Frontiers in Psychology: Quantitative Psychology & Measurement.
*Moore, K.D & Fairchild, A.J. (2018). Investigating construct validity of the Cyber-Peer Experiences Questionnaire. European Journal of Psychological Assessment, 34 (3), e1-e8.
*Moore, K.D., Fairchild, A.J., Wooten, N.R., & *Ng, Z.J. (2017). Evaluating behavioral health interventions for military-connected youth. Military Medicine, 182, 1836-1845.
Fairchild, A.J. & *McDaniel, H.L. (2017). Best (but oft-forgotten) practices: Mediation analysis. American Journal of Clinical Nutrition, 105, 1259-1271.
Church, C.E. & Fairchild, A.J. (2017). In search of a silver bullet: Child welfare’s embrace of predictive analytics. Juvenile and Family Court Journal, 68, 67-81.
*Patel, C.C., Fairchild, A.J. & Prinz, R.J. (2017). Potential mediators in parenting and family intervention: Quality of mediation analyses. Clinical Child and Family Psychology Review, 20, 127-45.
Fairchild, A. J., … & 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.
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.
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.