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Original Articles

Components of Statistical Thinking and Implications for Instruction and Assessment

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Brenna Curley & Jillian Downey. (2023) Implementation of Alternative Grading Methods in a Mathematical Statistics Course. Journal of Statistics and Data Science Education 0:0, pages 1-37.
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Allison Davidson. (2023) A Review of the Use of Investigative Projects in Statistics and Data Science Courses. Journal of Statistics and Data Science Education 0:0, pages 1-28.
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Lucy D’Agostino McGowan, Roger D. Peng & Stephanie C. Hicks. (2023) Design Principles for Data Analysis. Journal of Computational and Graphical Statistics 32:2, pages 754-761.
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Jon MacKay. (2022) Data Discovery Challenge Using the COVID-19 Data Portal from New Zealand. Journal of Statistics and Data Science Education 30:2, pages 187-190.
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Kevin Cummiskey, Bryan Adams, James Pleuss, Dusty Turner, Nicholas Clark & Krista Watts. (2020) Causal Inference in Introductory Statistics Courses. Journal of Statistics Education 28:1, pages 2-8.
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Victoria Woodard, Hollylynne Lee & Roger Woodard. (2020) Writing Assignments to Assess Statistical Thinking. Journal of Statistics Education 28:1, pages 32-44.
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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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Sherri Cheng, Mark Ferris & Jessica Perolio. (2018) An Innovative Classroom Approach for Developing Critical Thinkers in the Introductory Statistics Course. The American Statistician 72:4, pages 354-358.
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K. A. Schmidtke, D. G. Watson & I. Vlaev. (2017) The use of control charts by laypeople and hospital decision-makers for guiding decision making. The Quarterly Journal of Experimental Psychology 70:7, pages 1114-1128.
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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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Jackie Reid & Janelle Wilkes. (2016) Developing and applying quantitative skills maps for STEM curricula, with a focus on different modes of learning. International Journal of Mathematical Education in Science and Technology 47:6, pages 837-852.
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Ben Baumer. (2015) A Data Science Course for Undergraduates: Thinking With Data. The American Statistician 69:4, pages 334-342.
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Juho Kaleva Oikarinen, Sanna Järvelä & Raimo Kaasila. (2014) Finnish upper secondary students’ collaborative processes in learning statistics in a CSCL environment. International Journal of Mathematical Education in Science and Technology 45:3, pages 325-348.
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Dawn Dobni & Graham Links. (2008) Promoting Statistical Intelligence in Marketing Research Students: Best Practice Ideas. Marketing Education Review 18:1, pages 61-64.
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Dirk T. Tempelaar, Wim H. Gijselaers & Sybrand Schim van der Loeff. (2006) Puzzles in Statistical Reasoning. Journal of Statistics Education 14:1.
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Michael D. Larsen. (2006) Advice for New and Student Lecturers on Probability and Statistics. Journal of Statistics Education 14:1.
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Philippe Vandenbroeck, Luc Wouters, Geert Molenberghs, Jef Van Gestel & Luc Bijnens. (2006) Teaching Statistical Thinking to Life Scientists a Case-Based Approach. Journal of Biopharmaceutical Statistics 16:1, pages 61-75.
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Eric R Sowey. (2005) From a logical point of view: an illuminating perspective in teaching statistical inference. International Journal of Mathematical Education in Science and Technology 36:7, pages 801-811.
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