Andrew Bodine

I create and update QoL, PRO, and CRO measures in order to better predict patient response to treatment and inform clinical practice using advanced psychometric methods and various flavors of longitudinal analysis. Additionally, I am developing an in-house, clinician-facing dashboard to disseminate information regarding inpatient progress through treatment, including the scores on these various measures. This dashboard also integrates other clinically-relevant information from the rest of my department, such as risk factors, patient satisfaction, and medical record history, all in real time. It combines patient-centered and evidence-based approaches in a way that is both understandable and actionable.

I performed analyses and visualized results in SAS and R on several ongoing projects for a clinical psychology faculty and his lab. Our research included the effect of psychosocial factors on wound healing, the effect of home environment, psychology, and food purchasing behavior on obesity, and psychological and physical stress related differences between men and women with family histories of cardiac disease. I also functioned as a consultant for lab investigators, providing instruction on topics like SAS programming, path analysis, psychometrics, moderation, mediation, and graphing in various statistical programming languages.

I provided consulting services for psychology graduate students and post-doctoral researchers on a wide variety of statistical topics. I assisted these investigators on numerous projects including independent research, master’s theses, and doctoral dissertations. I have given guidance on topics such as statistical power, effect size, research design, hierarchical mixed modeling, item response theory, and factor analysis. Additionally, I have provided instructions for conducting these analyses in software like R, SAS, and SPSS.

I conducted lab sessions and held office hours for both undergraduate and graduate statistics courses in the psychology department. I instructed students on a range of statistical topics including probability theory, power, effect size, hypothesis testing, and inference. I also taught students how to use R, SAS, and SPSS to clean and manage data, conduct tests, and visualize and interpret results.

I assisted researchers within the fields of public health and clinical psychology, performing psychometric and other statistical analyses. During this time, I also completed my dissertation. Dissertation: A Monte Carlo Investigation of Fit Statistic Differences in Limited- and Full- Information Measurement Models

In addition to my thesis, I developed an array of statistical and programming skills (in R, SAS, SPSS, and Excel) through coursework (factor analysis, structural equation modeling, item response theory, and mixed modeling) and research. I had the opportunity to teach both undergraduate and graduate level statistics courses in the psychology department. Thesis: The Effect of Item Parameter Uncertainty on Test Reliability

My undergraduate coursework in psychology was mostly spent determining which substantive area I wanted to study as a graduate student. During this time, I became enthusiastic about issues of psychological assessment and ability measurement, which decided the field in which I am currently pursuing my doctorate. I was the president of Psi Chi, the honors society for psychology students, during my senior year and graduated magna cum laude. Additionally, I worked as a tutor for introduction to psychology, biopsychology, and writing courses.