Research Area: Quantitative Methods
Quantitative methods, flynn effect, child behavior problems
At Vanderbilt University my substantive research has been on the gradual rise in population IQ scores over time, i.e. the Flynn Effect. More recently I have begun to focus on behavioral genetic models and their applications. My methodological interests are in multilevel models, behavioral genetic models, bootstrapping, longitudinal data and family data. I have been working on research in these areas with my advisor, Dr. Joe Rodgers.
Prior to attending Vanderbilt I worked as a research assistant at the Youth with Problematic Sexual Behaviors (YPSB) lab and the Teacher Child Interaction Training (TCIT) lab located at the University of Oklahoma Health Sciences Center-Center on Child Abuse and Neglect. My primary responsibilities were data management and analysis.
O'Keefe, P., Rodgers, J. L. (2017, September) Double Decomposition of Level-1 Variables in Multilevel Models: An Analysis of the Flynn Effect in the NSLY Data. Multivariate Behavioral Research, 630-647. doi:10.1080/00273171.2017.1354758
O’Keefe, P., Rodgers, J. L. (2017, May). An Analysis of the Home Observation Measurement of the Environment: An Empirical Test of the Parental-Executive Model. Poster to be presented at the Association for Psychological Science Annual Conference, Boston, MA.
O’Keefe, P., Rodgers, J. L. (2016, May) A Multilevel Decomposition of the Flynn Effect. Poster presented at the Association for Psychological Science Annual Conference, Chicago, IL.
O'Keefe, P. (2016). ParallelTree: Parallel Tree. R package version 0.1.1.
Honorable Mention - NSF Graduate Research Fellowship Program, 2016
Graduated with Special Distinction - University of Oklahoma, 2014