Alicia Hofelich Mohr

Photo of Alicia Hofelich Mohr

Contact Me

hofelich@umn.edu
612-626-8456

LATIS .
25 BlegH

269 19th Ave S

Alicia Hofelich Mohr is the Research Support Coordinator in the Liberal Arts Technologies and Innovation Services (LATIS) at the University of Minnesota Twin Cities. Her research team provides consultation, workshops, and support for faculty and students across the research lifecycle, from data management planning through collection, analysis, sharing. Dr. Hofelich Mohr specializes in designing research workflows, handling human subjects data, de-identifying research data, and teaching reproducible data analysis in quantitative tools, such as R and SPSS. She has attended trainings on De-Identification Methodology from the Health Information Trust Alliance (HITRUST) and Data Management & Curation from the Inter-University Consortium for Political and Social Research (ICPSR). She serves as a curator for social science data and statistical code in the Data Repository for the University of Minnesota (DRUM).

Educational Background & Specialties

Educational Background

  • Ph.D.: Psychology, University of Michigan, Ann Arbor, MI, 2012.
  • M.A.: Statistics, University of Michigan, Ann Arbor, MI, 2012.
  • B.A.: Psychology (Biochemistry, Neuroscience), Hope College, Holland, MI, 2007.

Specialties

  • Research data management
  • Data analysis
  • Reproducible Research using R
Courses Taught
  • PSY 8814: Analysis of Psychological Data
Research & Professional Activities

Professional Activities

  • International Association for Social Science Information Service and Technology (IASSIST):
  • Society for the Improvement of Psychological Science (SIPS):
  • Center for Open Science Badges Committee:
  • Curator for the Data Repository for the University of Minnesota:
  • IRSA Introduction to R and Reproducible Research: Co-instructor
  • LATIS Research Workshop Series: Instructor
  • UMN Storage Council :
Publications
  • Klein, O., Hardwicke, T. E., Aust, F., Breuer, J., Danielsson, H., Hofelich Mohr, A., … Frank, M. C. (2018). A Practical Guide for Transparency in Psychological Science. Collabra: Psychology, 4(1), 20. DOI: http://doi.org/10.1525/collabra.158
  • Hardwicke, T. E., Mathur, M., MacDonald, K., Nilsonne, G., Banks, G. C., Kidwell, M. C., Hofelich Mohr, A., Clayton, E., Yoon, E.J., Tessler, M.H., Lenne, R.L., Altman, S., Long, B. , & Frank, M.C. (2018). Data availability, reusability, and analytic reproducibility: Evaluating the impact of a mandatory open data policy at the journal Cognition. Royal Society Open Science. DOI: https://doi.org/10.1098/rsos.180448
  • Silberzahn, R., L., E., P., D., Anselmi, P., Aust, F., Awtrey, E., ..., Hofelich Mohr, A.J.,… Nosek, A., B. (2018). Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. Advances in Methods and Practices in Psychological Science, 1(3), 337–356. https://doi.org/10.1177/2515245917747646
  • Hofelich Mohr, A., Johnston, L. R., & Lindsay, T. A. (2016). The Data Management Village: Collaboration among Research Support Providers in the Large Academic Environment. Databrarianship: The Academic Data Librarian in Theory and Practice (editors Kristi Thompson and Lynda Kellam) Association of College and Research Libraries (ACRL).
  • Hofelich Mohr, A., Sell, A., & Lindsay, T. (2016). Thinking inside the box: Visual design of the response box affects creative divergent thinking in an online survey. Social Science Computer Review, 34(3) , 347-359.
  • Hofelich Mohr, A. (2016). Helpful Commands for Exporting Metadata from Statistical Software Packages SPSS, Stata, and R. Chapter in Curating Research Data Handbook, Volume 2.
  • Hofelich Mohr, A. (2016). Finding Metadata in R: Where to look. Chapter in Curating Research Data Handbook, Volume 2.
  • Patterson, G. R., Mohr, A. H., Snider, T. P., Lindsay, T. A., Davies, P. R., Goldsmith, T. J., & Sampedro, F. (2016). Prioritization of managed pork supply movements during a FMD outbreak in the US. Frontiers in Veterinary Science, 3. doi: 10.3389/fvets.2016.00097
  • Hofelich Mohr, A., Preston, S.D, & Kross, E. (2016). Devil in the details: Effects of depression on the prosocial response depend on timing and similarity. Adaptive Human Behavior and Physiology. doi: 10.1007/s40750-016-0044-x
  • Cheng, P., Preston, S. D., Jonides, J., Mohr, A. H., Thummala, K., Casement, M., Hsing, C., & Deldin, P. J. (2015).Evidence against mood-congruent attentional bias in Major Depressive Disorder. Psychiatry Research, 230(2), 496-505.
  • Mohr, A. H., Bishoff, J., Bishoff, C., Braun, S., Storino, C., & Johnston, L. R. (2015). When data is a dirty word: A survey to understand data management needs across diverse research disciplines. Bulletin of the Association for Information Science and Technology, 42(1), 51-53.
  • Witvliet, C. V., Hofelich Mohr, A. J., Hinman, N. G., & Knoll, R. W. (2015). Transforming or restraining rumination: The impact of compassionate reappraisal versus emotion suppression on empathy, forgiveness, and affective psychophysiology. The Journal of Positive Psychology , 10 (3), 248-261.
  • Cherry, C., Mohr, A. Hofelich, Lindsay, T., Diez-Gonzalez, F., Hueston, W., Sampedro, F. (2014). Knowledge and Perceived Implementation of Food Safety Risk Analysis Framework in Latin America and the Caribbean Region. Journal of Food Protection, 12. 2098-2105.