GLOBL 12
How to Think Like a Quantitative Social Scientist
Covers the logic of quantitative social science inquiry, as well as fundamental math and logic skills required for success in introductory quantitative social science courses. Topics include: what causality means, how conceptual variables are measured numerically, how to link graphical and tabular evidence to social-scientific questions of different types, and how to read an empirical research paper. Designed for lower division students who are underprepared for pre-major courses in quantitative social science majors.
Topics
- what causality means
- how conceptual variables are measured numerically
- how to link graphical and tabular evidence to social-scientific questions of different types
- and how to read an empirical research paper
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027