Email: jeffrey.shero@vanderbilt.edu
Website: Jeffrey Shero
Education:
The Ohio State University, 2016
B.S. Human Development and Family Sciences
The Ohio State University, 2018
M.P.A. Public Administration and Public Policy
Florida State University, 2019
M.S. Developmental Psychology
Florida State University, 2023
Ph.D. Developmental Psychology
Dr. Jeffrey Shero is a postdoctoral scholar at Vanderbilt University’s Peabody College of Education and focuses on the study of individual differences in cognitive development and health outcomes. Within this space, Jeffrey’s work lies heavily in the areas of research methodologies and metascience, focusing on novel approaches to enhance the types of research that can be conducted and the scientific questions that can be answered. Beyond this, Jeffrey has a passion for open science and has worked heavily in this space, specializing in the areas of data deidentification, navigating IRB’s, and implications of open science practices through his work with the open data repository LDbase.org.
Shero, J.A., Erbeli, F., Reed, Z., Haughbrook, R., Davis, O., Hart, S.A., & Taylor, J.E. (2023). Where you live matters: Visualizing environmental effects on reading attainment. Journal of Child Psychology and Child Psychiatry, 65(6), 798-808.
Shero, J.A., Van Dijk, W., Edwards, A., Solari, E., Schatschneider, C., & Hart, S.A. (2021). The practical utility of genetic screening in school settings. Npj Science of Learning, 6(12). https://doi.org/10.1038/s41539-021-00090-y
Shero, J.A., Logan, J., Petrill, S., Wilcutt, E., & Hart, S.A. (2021). The differential relations between ADHD and reading achievement: A quantile regression and quantile genetic approach. Behavior Genetics, 5, 631-653. https://doi.org/10.1007/s10519-021-10077-5
Shero, J.A., Zhu, Z., Thompson, L., & Logan, J.A.R. Quantile Structural Equation Modeling: Testing a Novel Spatially-Weighted Approach. (under review) available at https://osf.io/preprints/osf/tc5f3
Shero, J.A., Swanz, A.E., Hanson, A.L., Hart, S.A., & Logan, J.A.R. Data deidentification for data sharing in educational and psychological research: Importance, barriers, and techniques.(under review) available at https://osf.io/preprints/psyarxiv/jgd9c