SOCI7016
Quantitative Research Methods
Offer semester
Lecture time
Lecture venue
Credits awarded
1st semester
Wednesday
19:00-21:50
CPD-G.02
6
This course explores the basics of quantitative methods as applied to the social sciences. This involves two broad skill sets. First, a good command of the conceptual foundations of statistics is essential to understand why social scientists analyze data in some specific ways. Second, a hands-on experience in the computing and programming tools (R in this course) to both manage and analyze data is crucial to be able to apply the conceptual foundations of statistics to real-world data.
Use R to summarize and visualize data
Understand the essential elements of probability and statistics
Quantify uncertainty in data analysis
Be able to use regression models to analyze data
Communicate the quantitative results effectively
Tasks
Weighting
In-class participation
10%
Test
40%
Group project Proposal
10%
Group project Presentation
20%
Group project Online blog
15%
Group project Peer Evaluation
5%
Imai, Kosuke and Nora Webb Willaims. 2022. Quantitative Social Science: An Introduction with Tidyverse, 2022. Princeton University Press.
Ismay, Chester and Albert Y. Kim. 2025. Statistical Inference via Data Science: A ModernDive into R and the Tidyverse. Second edition
Wooldridge, Jeffrey M. 2025. Introductory Econometrics: A Modern Approach.
Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. R for Data Science : Import, Tidy, Transform, Visualize, and Model Data. Second edition. Beijing; O’Reilly, 2023.London: Sage.
Offer Semester | Lecture Day | Lecture Time | Venue | Credits awarded |
|---|---|---|---|---|
1st semester | Wednesday | 19:00-21:50 | CPD-G.02 | 6 |