Doing Multivariate Analysis (DMA-1)
This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.
Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.
To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.
- You should have a reasonable knowledge of the basic statistical material covered in FiAS and BQA.
- You will need a working knowledge of Stata. If you haven't learned Stata elsewhere, you have three options: (1) download the materials from "90-minute Stata" and work through them yourself; (2) email the SSRMC Administrator to ask whether a space is available for the first of the FiAS lab sessions, where Stata is introduced (3) enrol in the SSRMC's 'Introduction to Stata' module.
Number of sessions: 4
# | Date | Time | Venue | Trainer | |
---|---|---|---|---|---|
1 | Mon 20 Nov 2017 10:00 - 12:00 | 10:00 - 12:00 | 8 Mill Lane, Lecture Room 1 | map | Dr M.J. Ramsden |
2 | Mon 20 Nov 2017 14:00 - 16:00 | 14:00 - 16:00 | Titan Teaching Room 1, New Museums Site | map | Dr M.J. Ramsden |
3 | Mon 27 Nov 2017 10:00 - 12:00 | 10:00 - 12:00 | 8 Mill Lane, Lecture Room 1 | map | Dr M.J. Ramsden |
4 | Mon 27 Nov 2017 14:00 - 16:00 | 14:00 - 16:00 | Titan Teaching Room 1, New Museums Site | map | Dr M.J. Ramsden |
Stata
- Weekly online quizzes to check progress
- An end-of-module assessment (open-book online test)
Available on the module's Moodle page
Please complete the Basic Statistics Stream booking request form on the SSRMC website
https://www.ssrmc.group.cam.ac.uk/bookings/basic-statistics-stream-booking
8 hours over 2 weeks (4 hours lectures; 4 hours lab in total)
1 morning lecture and 1 afternoon lab session per week, for 2 weeks
- Foundations in Applied Statistics (FiAS-6)
- Basic Quantitative Analysis (BQA-6)
- Doing Multivariate Analysis (DMA 3)
- Further Topics in Multivariate Analysis (FTMA) 2
Booking / availability