Selected Publications

\(^\dagger\) denotes student author


Legacy, C.\(^\dagger\), Zieffler, A., Baumer, B. S., Barr, V., & Horton, N. J. (2023). Facilitating team-based data science: Lessons learned from the DSC-WAV project. Foundations of Data Science, 5(2), 244–265.

Rao, V. N. V.\(^\dagger\), Legacy, C., Zieffler, A., & delMas, R. (2023). A sequence of activities to build students’ reasoning about data and visualization. Teaching Statistics, 45(S1), S80–S92.


Legacy, C.\(^\dagger\), 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).


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).

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.

Zieffler, A., Justice, N., delMas, R., & Huberty, M.\(^\dagger\) (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.


Justice, N., Zieffler, A., Huberty, M.\(^\dagger\), & 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.

National Academies of Sciences, Engineering, and Medicine. (2018). [Contributing Author]. Data science for undergraduates: Opportunities and options. Washington, DC: The National Academies Press.

Sabbag, A. G.\(^\dagger\), Garfield, J., & Zieffler, A. (2018). Assessing statistical literacy and statistical reasoning: The REALI instrument. Statistics Education Research Journal, 17(2), 141–160.


Garfield, J., Zieffler, A., & Fry, E.\(^\dagger\) (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.

Justice, N.\(^\dagger\), 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.

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.


Sabbag, A. G.\(^\dagger\), & Zieffler, A. (2015). Assessing learning outcomes: An analysis of the GOALS-2 instrument. Statistics Education Research Journal, 14(2), 93–116.

Umbanhowar Jr., C, Belitsky, J. M., Brodfuehrer, P., Davis, G., Haque, T., Le, L.\(^\dagger\), McFadden, C., Overvoorde, P., Preest, M., Stanhope, L., Vinces, M., Zieffler, A., & Ziegler, L.\(^\dagger\) (2015). Understanding the quantitative and computational skills of incoming biology students.

Zieffler, A., & Fry, E. (eds.) (2015). Reasoning about uncertainty: Learning and teaching informal inferential reasoning. Minneapolis, MN: Catalyst Press.

Zieffler, A., & Huberty, M.\(^\dagger\) (2015). A catalyst for change in the high school math curriculum. CHANCE, 28(3), 44–49.