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Instructor-led course

Provided by: Social Sciences Research Methods Programme


This course has 3 scheduled runs. To book a place, please choose your preferred date:


Fri 17 Jan 2020


Fri 14 Feb 2020


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Events available

Doing Multivariate Analysis (DMA-1)
PrerequisitesNewUpdatedSpecialExtra run


Description

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
Prerequisites
  • 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.
System requirements

A basic knowledge of Stata is required.

Reading List

Available on the module's Moodle page.

Assessment
  • 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
Duration

This is an 8-hour module taking place over 2 days.

Theme
Basic Statistics Stream

Events available