Amelia McNamara

Teaching modeling in introductory statistics: A comparison of formula and tidyverse syntaxes. A McNamara Journal of statistics and data science education, 1-21, 2024.

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A randomized controlled trial on the nomenclature of scientific computing. T Kluthe, H Stabler, A McNamara, A Stefik Computer Science Education, 1-29, 2024.

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A many-analysts approach to the relation between religiosity and well-being. S Hoogeveen, A Sarafoglou, B Aczel, Y Aditya, AJ Alayan, PJ Allen, ... Religion, Brain & Behavior 13 (3), 237-283, 2023.

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Data Feminism: Edited by Catherine D'Ignazio and Lauren F. Klein Cambridge. MA: MIT Press, 2020, 328 pp. HB 9780262044004. $29.95. A McNamara Design and Culture 15 (3), 453-456, 2023.

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The impact (or lack thereof) of analysis choice on conclusions with Likert data from the Many Analysts Religion Project. A McNamara Religion, brain & behavior 13 (3), 324-326, 2023.

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Transparent Quantitative Research as a User Interface Problem (Dagstuhl Seminar 22392). C Wacharamanotham, Y Jansen, AA McNamara, K Hornb k, ... Schloss-Dagstuhl-Leibniz Zentrum fu r Informatik, 2023.

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A survey on motivation and barriers to transparent practices in quantitative research. C Wacharamanotham, Y Jansen, A McNamara, K Hornb k, J Robertson OSF, 2022.

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Skimr: Compact and flexible summaries of data. E Waring, M Quinn, A McNamara, E Arino De La Rubia, H Zhu, S Ellis R package version 2 (3), 2022.

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" Looks okay to me": A study of best practice in data analysis code review. KN Bodwin, IF Siaca, A McNamara, P Burckhardt, A Theobold, ... ICOTS, 2022.

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Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis. M Schweinsberg, M Feldman, N Staub, OR van den Akker, RCM van Aert, ... Organizational Behavior and Human Decision Processes 165, 228-249, 2021.

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An educator's perspective of the tidyverse. M C etinkaya-Rundel, J Hardin, BS Baumer, A McNamara, NJ Horton, ... arXiv preprint arXiv:2108.03510, 2021.

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skimr: compact and flexible summaries of data. R package version 2.1. 3. E Waring, M Quinn, A McNamara, E Arino de la Rubia, H Zhu, S Ellis .

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A Randomized Controlled Trial on the Wild Wild West of Scientific Computing with Student Learners. T Rafalski, PM Uesbeck, C Panks-Meloney, P Daleiden, W Allee, ... Proceedings of the 2019 ACM Conference on International Computing Education ..., 2019.

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Community engagement and subgroup meta-knowledge: some factors in the soul of a community. AA McNamara Computational Statistics 34 (4), 1511-1535, 2019.

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Key attributes of a modern statistical computing tool. A McNamara The American Statistician, 2019.

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Teaching Statistics: A Bag of Tricks. A McNamara The American Statistician 72 (2), 210-212, 2018.

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Wrangling categorical data in R. A McNamara, NJ Horton The American Statistician 72 (1), 97-104, 2018.

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Imagining the future of statistical education software. A McNamara Looking back, looking forward. Proceedings of the Tenth International ..., 2018.

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Wrangling categorical data in R: Supplemental Appendices. A McNamara, NJ Horton .

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R Syntax Comparison Cheatsheet. A McNamara .

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Introduction to the 'Exploring Histograms' online essay. A Lunzer, A McNamara VPRI Research Note, 3, 2017.

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Revolutions in teaching and learning statistics: A collection of reflections. R Gould, CJ Wild, J Baglin, A McNamara, J Ridgway, K McConway, ... International handbook of research in statistics education, 457-472, 2017.

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Greater data science at baccalaureate institutions. A McNamara, NJ Horton, BS Baumer Journal of Computational and Graphical Statistics 26 (4), 781-783, 2017.

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Exploring histograms. A Lunzer, A McNamara .

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On the state of computing in statistics education: Tools for learning and for doing. A McNamara arXiv preprint arXiv:1610.00984, 2016.

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Exploring the effects of spatial aggregation. A McNamara, A Lunzer VPRI Research Note RN-2016-001. Viewpoints Research Institute, Los Angeles, CA, 2016.

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Bridging the gap between tools for learning and for doing statistics. AA McNamara University of California, Los Angeles, 2015.

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Introduction to Data Science. R Gould, T Johnson, A McNamara, J Molyneux, S Moncada-Machado Mobilize: Mobilizing for Innovative Computer Science Teaching and Learning, 2015.

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It aint necessarily so: Checking charts for robustness. A Lunzer, A McNamara IEEE VisWeek Poster Proceedings, 1-3, 2014.

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Teaching data science to teenagers. A McNamara, M Hansen Proceedings of the Ninth international conference on teaching statistics, 2014.

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Dynamic Documents with R and knitr. A McNamara Journal of Statistical Software 56, 1-4, 2014.

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LivelyR: Making R charts livelier. A Lunzer, A McNamara, R Krahn useR! Conference, 2014.

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Mobilize wiki: RStudio. A McNamara .

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Instabilities and patterns in coupled reaction-diffusion layers. AJ Catlla , A McNamara, CM Topaz Physical Review E-Statistical, Nonlinear, and Soft Matter Physics 85 (2 ..., 2012.

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Model and Optimization of Organic Photovoltaic Cells. A McNamara, J Seering, Y Zeng University of Minnesota. Institute for Mathematics and Its Applications, 2009.

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Survey of aberrant behavior and its treatment in persons with intellectual disabilities in Ontario. L Atkinson, MA Feldman, A McNamara, L Uhlin, A Niccols, V Leiserson Toronto, ON: Ontario Mental Health Fotindation, 1994.

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Teaching to the image: helping student journalists visualize environmental stories in a climate change world. M Neuzil, A McNamara Journalism 11 (1), 0.

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Suyenn Machado, LeeAnn Trusela, James Molyneux, Terri Johnson, Amelia McNamara, Jeroen Ooms, Jane Margolis, Jody Priselac, Joanna Goode, Derrick Chao, Hongsuda Tangmunarunkit .... R In Biehler, L Budde, D Frischemeier, B Heinemann, S Podworny, ... Paderborn Symposium on Data Science Education at School Level 2017: The ..., 0.

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Scientists Programming. A McNamara .

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The gap between tools for learning and for doing statistics. A McNamara .

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