Andrew Zieffler

Academic. Data lover. Statistics enthusiast.

Selected Publications


Legacy, C., Zieffler, A., Fry, E., & Le, L. (2022). COMPUTES: An instrument to measure introductory statistics instructors' emphasis on computational practices. Statistics Education Research Journal, 21(1). doi: 10.52041/serj.v21i1.63


Horton, N. J., Baumer, Benjamin S., Zieffler, A., & Barr, V. (2021). The Data Science Corps Wrangle-Analyze-Visualize program: Building data acumen for undergraduate students. Harvard Data Science Review, 3(1). doi: 10.1162/99608f92.8233428d
Yu, C.-H., Mathiowetz, V. G., Zieffler, A., & Tomlin, G. S. (2021). Efficacy of a forearm rotation orthosis for persons with a hemiparetic arm. American Journal of Occupational Therapy, 75(6), 7506205110. doi: 10.5014/ajot.2021.043455
Zieffler, A., Justice, N., delMas, R., & Huberty, M. (2021). The use of algorithmic models to develop secondary teachers' understanding of the statistical modeling process. Journal of Statistics and Data Science Education, 29(1), 131–147. doi: 10.1080/26939169.2021.1900759


Justice, N., Zieffler, A., Huberty, M., & delMas, R. (2018). Every rose has it's thorn: Secondary teachers' reasoning about statistical models. ZDM—The International Journal on Mathematics Education, 50(7), 1253–1265. doi: 10.1007/s11858-018-0953-1
National Academies of Sciences, Engineering, and Medicine. (2018). [Contributing Author]. Data science for undergraduates: Opportunities and options. Washington, DC: The National Academies Press. doi: 10.17226/25104
Sabbag, A. G., Garfield, J., & Zieffler, A. (2018). Assessing statistical literacy and statistical reason- ing: The REALI instrument. Statistics Education Research Journal, 17(2), 141–160.


Garfield, J., Zieffler, A., & Fry, E. (2017). What is statistics education? In D. Ben-Zvi, K. Makar, & J. Garfield (Eds.), The international handbook of research in statistics education (pp. 37–70). Cham, Switzerland: Springer International Publishing.
Stanhope, E., Ziegler, L., Haque, T., Le, L., Vinces, M., Davis, G. K., Zieffler, A., Brodfuehrer, P., Preest, M., Belitsky, J., Umbanhowar, Jr., C., & Overvoorde, P. J. (2017). Development of a Biological Science Quantitative Reasoning Exam (BioSQuaRE). CBE–Life Sciences Education, 16(4), ar66. doi: 10.1187/cbe.16-10-0301
Justice, N., Zieffler, A., & Garfield, J. (2017). Statistics graduate teaching assistants' beliefs, practices, and preparation for teaching introductory statistics. Statistics Education Research Journal, 16(1), 294–319.


Sabbag, A. G., & Zieffler, A. (2015). Assessing learning outcomes: An analysis of the GOALS-2 instrument. Statistics Education Research Journal, 14(2), 93–116.
Zieffler, A., & Fry, E. (eds.) (2015). Reasoning about uncertainty: Learning and teaching informal inferential reasoning. Minneapolis, MN: Catalyst Press.
Zieffler, A., & Huberty, M. (2015). A catalyst for change in the high school math curriculum. CHANCE, 28(3), 44–49. doi: 10.1080/09332480.2015.1099365
Umbanhowar Jr., C, Belitsky, J. M., Brodfuehrer, P., Davis, G., Haque, T., Le, L., McFadden, C., Overvoorde, P., Preest, M., Stanhope, L., Vinces, M., Zieffler, A., & Ziegler, L. (2015). Understanding the quantitative and computational skills of incoming biology students.