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Fri 27 Jan, Fri 3 Feb 2023
10:00, ...

Provided by: Social Sciences Research Methods Programme


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Doing Multivariate Analysis (DMA 4)

Fri 27 Jan, Fri 3 Feb 2023


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.

Target audience
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
  • 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 Fri 27 Jan 2023   10:00 - 11:00 10:00 - 11:00 SSRMP pre-recorded lecture(s) on Moodle  
2 Fri 27 Jan 2023   14:00 - 16:00 14:00 - 16:00 University Centre, Hicks Room map
3 Fri 3 Feb 2023   10:00 - 11:00 10:00 - 11:00 SSRMP pre-recorded lecture(s) on Moodle  
4 Fri 3 Feb 2023   14:00 - 16:00 14:00 - 16:00 University Centre, Hicks Room map

This module is very popular, so we repeat it several times. Each module runs over 2 sessions, covers exactly the same material, and is at the same level. However, this iteration is a reduced version, in which there are no live lectures, only screencasts.



  • Online quizzes are provided for you to check your own progress
  • There is an online open-book test at the end of the module
  • The test is compulsory for some students – please check with your Department
Reading List

Available on the module's Moodle page.

How to Book

Please complete the Basic Statistics Stream booking request form on the SSRMP website


Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.

SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

For more information, and links to specific Moodle module pages, please visit our website


8 hours
This is an intensive module

Basic Statistics Stream

Booking / availability