Statistical Intuition Without Coding (or Teachers)
Natalie Ayers, Gary King, Zagreb Mukerjee, Dominic Skinnion. 2025.
"Statistical Intuition Without Coding (or Teachers)".
PS: Political Science & Politics, 58, 4, Pp. 730–736.

Abstract
Two features of quantitative political methodology make teaching and learning especially difficult: (1) Each new concept in probability, statistics, and inference builds on all previous (and sometimes all other relevant) concepts; and (2) motivating substantively oriented students, by teaching these abstract theories simultaneously with the practical details of a statistical programming language (such as R), makes learning each subject harder. We address both problems through a new type of automated teaching tool that helps students see the big theoretical picture and all its separate parts at the same time without having to simultaneously learn to program. This tool, which we make available via one click in a web browser, can be used in a traditional methods class, but is also designed to work without instructor supervision.
See Also
- [Paper] A Proposed Standard for the Scholarly Citation of Quantitative Data (2007)
- [Software] Booc.Io: An Education System With Hierarchical Concept Maps (2017)
- [Paper] Education and Scholarship by Video (2021)
- [Paper] Ensuring the Data Rich Future of the Social Sciences (2011)
- [Paper] How Human Subjects Research Rules Mislead You and Your University, and What to Do About It (2016)
- [Paper] How Social Science Research Can Improve Teaching (2013)
- [Paper] Publication, Publication (2006)
- [Paper] Restructuring the Social Sciences: Reflections from Harvard's Institute for Quantitative Social Science (2014)