publications – Andrew Zieffler

Open-Education Resources

Zieffler, A., & Legacy, C. (2023). An Introduction to Data Analysis. https://zief0002.github.io/epsy-5261/

Rodriguez, M., & Zieffler, A. (2021). Matrix algebra for educational scientists. https://zief0002.github.io/matrix-algebra/

Zieffler, A., & Catalysts for Change. (2013, 2015, 2017, 2018, 2021, 2025). Statistical Thinking: A Simulation Approach to Modeling Uncertainty. https://github.com/zief0002/statistical-thinking/

Zieffler, A. (2020). Statistical modeling and computation for educational scientists https://zief0002.github.io/modeling/

Selected Publications

$^{†}$ denotes student author

2025

Legacy, C., Zieffler, A., Rao, V. N. V., & delMas, R. (2025). Vampires and star-crossed lovers: Secondary teachers’ reasoning about the connections between multivariate data and visualization. Statistics Education Research Journal, 24(1). https://doi.org/10.52041/serj.v24i1.613

Peczuh, M. C. $^{†}$ , Maruyama, G., Weisen, S. $^{†}$ , Do, T. $^{†}$ , & Zieffler, A. (2025). Where are the men?: Investigating intersectional gender differences in postsecondary outcomes. Analyses of Social Issues and Public Policy, 25(1), 1–26. https://doi.org/10.1111/asap.12451

Sabbag, A., Zieffler, A., & Ng, C. (2025). Can we distinguish statistical literacy and statistical reasoning? Statistics Education Research Journal, 24(1). https://doi.org/10.52041/serj.v24i1.587

2024

Legacy, C., Le, L., Zieffler, A., Fry, E., & Vivas Corrales, P. $^{†}$ (2024). The teaching of introductory statistics: Results of a national survey. Journal of Statistics and Data Science Education, 32(3), 232–240. https://doi.org/10.1080/26939169.2024.2333732

Zieffler, A. (2024). Zhuzhing up your syllabus. Statistics Teaching and Learning Corner. <https://stattlc. com/2024/09/06/zhuzhing-up-your-syllabus/>

2023

Legacy, C. $^{†}$ , 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. https://doi.org/10.3934/fods.2022003

Rao, V. N. V. $^{†}$ , Legacy, C., Zieffler, A., & delMas, R. (2023). Designing a sequence of activities to build students’ reasoning about data and visualization. Teaching Statistics, 45(S1), S80–S92. http://doi.org/10.1111/test.12341

2022

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). https://doi.org/10.52041/serj.v21i1.63

2021

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). https://doi.org/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. https://doi.org/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. https://doi.org/10.1080/26939169.2021.1900759

2018

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. https://doi.org/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. https://doi.org/10.17226/25104

Sabbag, A. G. $^{†}$ , Garfield, J., & Zieffler, A. (2018). Assessing statistical literacy and statistical reasoning: The REALI instrument. Statistics Education Research Journal, 17(2), 141–160. https://doi.org/10.52041/serj.v17i2.163

2017

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. https://doi.org/10.1007/978-3-319-66195-7

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. https://doi.org/10.52041/serj.v16i1.232

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. https://doi.org/10.1187/cbe.16-10-0301

2015

Sabbag, A. G. $^{†}$ , & Zieffler, A. (2015). Assessing learning outcomes: An analysis of the GOALS-2 instrument. Statistics Education Research Journal, 14(2), 93–116. https://doi.org/10.52041/serj.v14i2.263

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. https://qubeshub.org/resources/806

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. https://doi.org/10.1080/09332480.2015.1099365