Further Topics in Multivariate Analysis (FTMA)

This module is an extension of the three previous modules in the Basic Statistics stream, and introduces more complex and nuanced aspects of the theory and practice of mutivariate analysis. Students will learn the theory behind the methods covered, how to implement them in practice, how to interpret their results, and how to write intelligently about their findings. Half of the module is based in the lecture theatre; the other half is lab-based, in which students will work through practical exercises using the statistical software Stata.

Topics covered include:

• Interaction effects in regression models: how to estimate these and how to interpret them
• Marginal effects from interacted models
• Ordered and categorical discrete dependent variable models (ordered and multinomial logit and probit)

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, BQA and DMA - in other words, you should have a good working knowledge of basic multivariate regression techniques. You will also need a good working knowledge of Stata. If you have not used Stata before, please enrol in the SSRMC's 'Introduction to Stata' module. If this is not possible, you may be able to get by with the SSRMC's 90-minute Stata materials.

Number of sessions: 4

Stata

• Online test following the final session

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

4 hours (a morning lecture and an afternoon lab session) over two days.

• Foundations in Applied Statistics (FiAS-6)
• Basic Quantitative Analysis (BQA-6)
• Doing Multivariate Analysis (DMA 3)
• Further Topics in Multivariate Analysis (FTMA) 2