Doing Multivariate Analysis Using R (DMA 4)

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 on pre-recorded lectures that can be accessed via the Moodle page where you will be introduced to statistical theory, concepts, and techniques. Although these pre-recorded lectures will be available for you to access over the academic year, it is important that you watch the appropriate pre-recorded lectures before the start of each corresponding practical workshop. The other half of the module consists two in-person practical workshops. In these workshops you will have the opportunity to apply the newly learned methods and techniques of multivariate regression by working through practical exercises using the software R. During the workshops staff and demonstrators will be at hand to answer answer any questions or issues you may have.

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.

• Postgraduate students and staff
• 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 R. If you haven't learned R elsewhere, you have three options: (1) download the materials from "90-minute R" and work through them yourself; (2) email the CaRM Administrator to ask whether a space is available for the first of the FiAS lab sessions, where R is introduced (3) enrol on the CaRM 'Introduction to R' module.

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.

The statistical packages R and R-Studio. Information on how to download the software can be found on the course Moodle page, which you will be given access to once a booking has been made.

• 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

Available on the module's Moodle page.

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

Please note that Basic Statistics Stream modules are repeated throughout the year and that multiple iterations are available in the Michaelmas and Lent terms.

The modules will be taught in either Stata or R. If you have a preference please indicate this in your booking request and we will try to accommodate this when making your booking. We require students to stick with the same statistical software as they progress through the Basic Statistics Stream modules so please ensure any future bookings you make align with the software you have started the sequence on.

Moodle is the 'Virtual Learning Environment' (VLE) that CaRM uses to deliver the online materials for our courses.

CaRM instructors 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 students enrol onto and explore their course Moodle pages once booking their CaRM 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 over 2 weeks (4 hours pre-recorded lectures; 4 hours practical lab sessions).

1 pre-recorded lecture and 1 afternoon lab session per week, for 2 weeks.