Andrew Zieffler

1.7k total citations
37 papers, 891 citations indexed

About

Andrew Zieffler is a scholar working on Statistics and Probability, Education and Artificial Intelligence. According to data from OpenAlex, Andrew Zieffler has authored 37 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 13 papers in Education and 3 papers in Artificial Intelligence. Recurrent topics in Andrew Zieffler's work include Statistics Education and Methodologies (28 papers), Innovations in Educational Methods (8 papers) and Educational Assessment and Pedagogy (5 papers). Andrew Zieffler is often cited by papers focused on Statistics Education and Methodologies (28 papers), Innovations in Educational Methods (8 papers) and Educational Assessment and Pedagogy (5 papers). Andrew Zieffler collaborates with scholars based in United States, Israel and United Kingdom. Andrew Zieffler's co-authors include Joan Garfield, Robert C. delMas, Dani Ben‐Zvi, Beth Chance, Elsa Medina, Cary J. Roseth, Danielle Dupuis, Jeffrey R. Harring, Jeffrey D. Long and Jiyoon Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and The American Statistician.

In The Last Decade

Andrew Zieffler

32 papers receiving 801 citations

Peers

Andrew Zieffler

EDUCA

DEP

MSOR

Susan N. Friel United States

Rolf Biehler Germany

Susan Jo Russell United States

Rosemary Callingham Australia

Randall E. Groth United States

Helen Chick Australia

Max Stephens Australia

Hollylynne S. Lee United States

Melissa Boston United States

Ken Clements Australia

Susan N. Friel United States

Andrew Zieffler

427 ×0.6

400 ×0.9

EDUCA

83 ×1.1

84 ×1.8

DEP

35 ×1.3

MSOR

Citations per year, relative to Andrew Zieffler Andrew Zieffler (= 1×) peers Susan N. Friel

Countries citing papers authored by Andrew Zieffler

Since Specialization

Citations

This map shows the geographic impact of Andrew Zieffler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Zieffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Zieffler more than expected).

Fields of papers citing papers by Andrew Zieffler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Zieffler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Zieffler. The network helps show where Andrew Zieffler may publish in the future.

Co-authorship network of co-authors of Andrew Zieffler

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Zieffler. A scholar is included among the top collaborators of Andrew Zieffler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Zieffler. Andrew Zieffler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zieffler, Andrew, et al.. (2025). CAN WE DISTINGUISH STATISTICAL LITERACY AND STATISTICAL REASONING?. Statistics Education Research Journal. 24(1). 2–2.

Zieffler, Andrew, et al.. (2025). VAMPIRES AND STAR-CROSSED LOVERS: SECONDARY TEACHERS’ REASONING ABOUT THE CONNECTIONS BETWEEN MULTIVARIATE DATA AND VISUALIZATION. Statistics Education Research Journal. 24(1). 4–4.

Zieffler, Andrew, et al.. (2024). Learning difficulties of introductory data science students.

Zieffler, Andrew, et al.. (2023). Designing a sequence of activities to build reasoning about data and visualization. Teaching Statistics. 45(S1). 3 indexed citations

Zieffler, Andrew, et al.. (2022). Facilitating team-based data science: Lessons learned from the DSC-WAV project. arXiv (Cornell University). 5(2). 244–265. 4 indexed citations

Zieffler, Andrew, et al.. (2022). COMPUTES: DEVELOPMENT OF AN INSTRUMENT TO MEASURE INTRODUCTORY STATISTICS INSTRUCTORS’ EMPHASIS ON COMPUTATIONAL PRACTICES. Statistics Education Research Journal. 21(1). 7–7. 1 indexed citations

Zieffler, Andrew, et al.. (2021). The Use of Algorithmic Models to Develop Secondary Teachers’ Understanding of the Statistical Modeling Process. SHILAP Revista de lepidopterología. 29(1). 131–147. 13 indexed citations

Horton, Nicholas J., Benjamin S. Baumer, Andrew Zieffler, & Valerie Barr. (2021). The Data Science Corps Wrangle-Analyze-Visualize Program: Building Data Acumen for Undergraduate Students. SHILAP Revista de lepidopterología. 2 indexed citations

Garfield, Joan, et al.. (2018). ASSESSING STATISTICAL LITERACY AND STATISTICAL REASONING: THE REALI INSTRUMENT. Statistics Education Research Journal. 17(2). 141–160. 18 indexed citations

10.

Zieffler, Andrew, et al.. (2017). STATISTICS GRADUATE TEACHING ASSISTANTS’ BELIEFS, PRACTICES AND PREPARATION FOR TEACHING INTRODUCTORY STATISTICS. Statistics Education Research Journal. 16(1). 294–319. 14 indexed citations

11.

Garfield, Joan, et al.. (2015). Quality assessments in statistics education: a focus on the goals instrument. 1 indexed citations

12.

Zieffler, Andrew, et al.. (2015). A Catalyst for Change in the High School Math Curriculum. CHANCE. 28(3). 44–49. 4 indexed citations

13.

Garfield, Joan, Robert C. delMas, & Andrew Zieffler. (2012). Developing statistical modelers and thinkers in an introductory, tertiary-level statistics course. ZDM. 44(7). 883–898. 78 indexed citations

14.

Schillo, Barbara, et al.. (2011). The relation between media promotions and service volume for a statewide tobacco quitline and a web-based cessation program. BMC Public Health. 11(1). 939–939. 10 indexed citations

15.

Davison, Mark L., et al.. (2011). Automated assembly of optimally spaced and balanced paired comparisons: Controlling order effects. Behavior Research Methods. 44(3). 753–764. 1 indexed citations

16.

Garfield, Joan, Andrew Zieffler, Daniel T. Kaplan, et al.. (2011). Rethinking Assessment of Student Learning in Statistics Courses. The American Statistician. 65(1). 1–10. 15 indexed citations

17.

Zieffler, Andrew, et al.. (2008). What Does Research Suggest About the Teaching and Learning of Introductory Statistics at the College Level? A Review of the Literature. Journal of Statistics Education. 16(2). 122–122. 106 indexed citations

18.

Zieffler, Andrew, et al.. (2008). A FRAMEWORK TO SUPPORT RESEARCH ON INFORMAL INFERENTIAL REASONING5. Statistics Education Research Journal. 7(2). 40–58. 97 indexed citations

19.

Everson, Michelle, Andrew Zieffler, & Joan Garfield. (2008). Implementing New Reform Guidelines in Teaching Introductory College Statistics Courses. Teaching Statistics. 30(3). 66–70. 12 indexed citations

20.

Zieffler, Andrew & Joan Garfield. (2007). Studying the Role of Simulation in Developing Students’ Statistical Reasoning. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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