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Nicholas J. Horton. (2023) The Journal of Statistics and Data Science Education Jackie Dietz Best Paper Award. Journal of Statistics and Data Science Education 31:2, pages 113-115.
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Adam Loy. (2021) Bringing Visual Inference to the Classroom. Journal of Statistics and Data Science Education 29:2, pages 171-182.
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Victoria Woodard & Hollylynne Lee. (2021) How Students Use Statistical Computing in Problem Solving. Journal of Statistics and Data Science Education 29:sup1, pages S145-S156.
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Nicola Justice, Laura Le, Anelise Sabbag, Elizabeth Fry, Laura Ziegler & Joan Garfield. (2020) The CATALST Curriculum: A Story of Change. Journal of Statistics Education 28:2, pages 175-186.
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David White. (2019) A Project-Based Approach to Statistics and Data Science. PRIMUS 29:9, pages 997-1038.
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Kenneth M. Brown. (2019) More Questions and Fewer Contexts: Designing Exercises for Statistics Courses. Journal of Statistics Education 27:3, pages 216-224.
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Catherine Case, Melanie Battles & Tim Jacobbe. (2019) Toward an understanding of p-values: Simulation-based inference in a traditional statistics course. Investigations in Mathematics Learning 11:3, pages 195-206.
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Nathan Tintle, Jake Clark, Karen Fischer, Beth Chance, George Cobb, Soma Roy, Todd Swanson & Jill VanderStoep. (2018) Assessing the Association Between Precourse Metrics of Student Preparation and Student Performance in Introductory Statistics: Results from Early Data on Simulation-Based Inference vs. Nonsimulation-Based Inference. Journal of Statistics Education 26:2, pages 103-109.
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Mark L. Berenson, Nicole B. Koppel, Richard A. Lord & Laura L. Chapdelaine. (2018) Using Financial Investment Measures to Proactively Engage Students in the Introductory Business Statistics Course. Journal of Statistics Education 26:1, pages 17-30.
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Douglas Whitaker & Tim Jacobbe. (2017) Students' Understanding of Bar Graphs and Histograms: Results From the LOCUS Assessments. Journal of Statistics Education 25:2, pages 90-102.
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Amy Wagaman. (2016) Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching an Undergraduate Multivariate Data Analysis Course. The American Statistician 70:4, pages 405-412.
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Beth Chance, Jimmy Wong & Nathan Tintle. (2016) Student Performance in Curricula Centered on Simulation-Based Inference: A Preliminary Report. Journal of Statistics Education 24:3, pages 114-126.
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Nathan Tintle, Beth Chance, George Cobb, Soma Roy, Todd Swanson & Jill VanderStoep. (2015) Combating Anti-Statistical Thinking Using Simulation-Based Methods Throughout the Undergraduate Curriculum. The American Statistician 69:4, pages 362-370.
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