Research methods and data analysis with a particular interest in measurement.
Patrick oversees MRES (Measurement, Research methodology, Evaluation, and Statistics -- pronounced “mysteries”) - a group of diverse students and faculty who work together, collaborate with others, travel internationally, and aim to improve science. We collaborate with Google, Intel, Koch Foundation, National Geographic, Merck, among others. Patrick’s work largely focuses on applications of psychological science to content areas in medicine, psychology (usability, psychophysics, trust, purpose in life, and anxiety/depression) and methods (crowdsourcing, data validity, and scale development). He serves on the Adisory Board of Stats.org and contributes to many scientific intiatives - commerical, military, and public domains. Patrick and Todd Kashdan co-mentor graduate students in both MRES and the Kashdan Lab to provide a well-rounded graduate training. Patrick’s mentorship style tends to be “hands-off” but he meets with students weekly to collaboratively write and solve problems - all via Google Hangouts. You can find out more about Patrick by visiting his personal website. Proudly supporting and using DataCamp for my lab and courses.
Please see my Google Scholar page.
BS Mechanical Engineering, University of Notre Dame, 1988
MA Exercise and Sports Science, University of Arizona, 1992
PhD Psychology, University of Arizona, 1997
Julius Najab, On Selection Bias Magnitudes (2013)
Jessica Yarbro, A Primer on Bayesian Cost-Effectiveness Methods for Health Psychologists (2016)
Simone Erchov, Reconceptualizing Trust: Defining, Modeling, and Measuring Trust (2017)
Jacob S Quartuccio, Why Are Healthy Habits so Hard to Form? Is It You, or the Habit? (2017)
Samuel Monfort, Performance, Trust, and Workload in an Automation-aided Visual Search Task (2017)