| 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 | 92 | 2021 |
| 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 (2), 2020 | 89* | 2020 |
| 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 | 57 | 2023 |
| Key attributes of a modern statistical computing tool A McNamara The American Statistician, 2018 | 48 | 2018 |
| Bridging the gap between tools for learning and for doing statistics AA McNamara University of California, Los Angeles, 2015 | 35 | 2015 |
| Instabilities and patterns in coupled reaction-diffusion layers AJ Catllá, A McNamara, CM Topaz Physical Review E 85 (2), 026215, 2012 | 33 | 2012 |
| 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 | 22 | 2021 |
| Wrangling categorical data in R A McNamara, NJ Horton The American Statistician 72 (1), 97-104, 2018 | 15 | 2018 |
| 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 | 15 | 2017 |
| On the state of computing in statistics education: Tools for learning and for doing A McNamara arXiv preprint arXiv:1610.00984, 2016 | 11 | 2016 |
| It aint necessarily so: Checking charts for robustness A Lunzer, A McNamara IEEE VisWeek Poster Proceedings, 1-3, 2014 | 11 | 2014 |
| 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 | 8 | 2019 |
| An educator's perspective of the tidyverse M Çetinkaya-Rundel, J Hardin, BS Baumer, A McNamara, NJ Horton, ... arXiv preprint arXiv:2108.03510, 2021 | 6 | 2021 |
| Greater data science at baccalaureate institutions A McNamara, NJ Horton, BS Baumer Journal of Computational and Graphical Statistics 26 (4), 781-783, 2017 | 6 | 2017 |
| Dynamic Documents with R and knitr A McNamara Journal of Statistical Software 56, 1-4, 2014 | 6 | 2014 |
| Teaching data science to teenagers A McNamara, M Hansen Proceedings of the Ninth international conference on teaching statistics, 2014 | 6 | 2014 |
| 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 | 5 | 2023 |
| LivelyR: Making R charts livelier A Lunzer, A McNamara, R Krahn useR! Conference, 2014 | 5 | 2014 |
| 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 | 4 | 2015 |
| R Syntax Comparison Cheatsheet A McNamara URL: https://osf. io/2k8fw, 2018 | 3 | 2018 |
Nicholas J. HortonBeitzel Professor of Technology and Society (Statistics and Data Science), Dept of Math & StatisticsVerified email at amherst.edu
