I am a statistics educator and interdisciplinary researcher serving as an Assistant Professor at Azusa Pacific University.
I have a heart for undergraduate statistics education, which I think offers exciting opportunities to teach and to learn how to be better stewards of information. My research focuses on methods for communicating and synthesizing statistical evidence in the social sciences, with particular experience in education policy and global development applications. This includes work in the areas of meta-analysis, data visualization, statistical cognition, and knowledge mobilization. I also utilize my statistical expertise to collaborate with other STEM educators to evaluate classroom-, department-, and college-level interventions to improve student learning in the university setting. I love engaging in interdisciplinary work and helping students discover how to use statistics for social good in ways that intersect with their interests.
PhD in Statistics, 2021
Northwestern University
MS in Statistics, 2018
Northwestern University
BS in Mathematics, 2015
Olivet Nazarene University
(2023) Dex Whittinghill III Award for the Best Contributed Paper on Statistics and Data Science Education, Mathematical Association of America, MathFest
(2022) Project NExT Fellow, Red ‘22 Cohort, Mathematical Association of America
(2021) Young Alumni Award, Olivet Nazarene University
(2017 - 2020) Multi-disciplinary Program in Education Sciences (MPES) Fellowship, U.S. Department of Education, Institute of Education Sciences.
External Funding
2024 - 2027
2023 - 2025
Internal Funding
2024
2022 - 2024
Fitzgerald, K.G., Khella, D., Charles, A., & Tipton, E. Meta-Analytic Rain Cloud Plots: Improving Evidence Communication Through Data Visualization Design Principles. Under review.
Fitzgerald, K.G., Gurrola, J., Hsieh, J., & Tran, T. SCORE Module: Volleyball NCAA Division I. Under review.
Ismay, C., Kim, A., Kuyper, A., Tipton, E. & Fitzgerald, K. G. Introduction to Statistics and Data Science: A moderndive into R and the tidyverse. https://nustat.github.io/intro-stat-ds/