Social Science Research Methods
The module has two in-person teaching components:
- Lectures (one-hour on Monday)
- Applied data analysis: IT lab (two-hours on Wednesday/Friday)
Attendance is mandatory for all teaching sessions. If you cannot attend to any of the sessions, please make sure to submit a claim for extenuating circumstances through eVision.
We will use this website for learning applied data analysis. The website is not a substitute for module Blackboard. We will use this site in conjunction with Blackboard.
First Task
Our very first task is to install R and R Studio on our laptops.
Please try to do this before coming to next lab.
R and R Studio are very powerful tools for analysing data and for creating high-quality documents. I prepared this website using R Studio. It is widely used both in academic research and in commercial enterprise. Learning the fundamentals of these powerful tools gives you an advantage in the job market (or for pursuing further studies such as PhD). They are free and open source.
Make sure to install R first and then the R Studio.
- R can be installed here: https://cran.r-project.org/
- R Studio can be installed here: https://posit.co/downloads/
Instructions for installing R and R Studio are available in Appendix A of the Online Textbook Hands-on Programming with R.