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Fri 14 Feb 2020
09:00 - 18:00
Venues:

Provided by: Social Sciences Research Methods Programme


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Fri 17 Jan 2020


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Doing Multivariate Analysis (DMA Intensive)

Fri 14 Feb 2020

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
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
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.
Sessions

Number of sessions: 4

# Date Time Venue Trainer
1 Fri 14 Feb 2020   09:00 - 11:00 09:00 - 11:00 Department of Genetics, Biffen Lecture, Downing Site map Dr R.J. Gruijters
2 Fri 14 Feb 2020   11:00 - 13:00 11:00 - 13:00 University Information Services, Titan Teaching Room 1, New Museums Site map Dr R.J. Gruijters
3 Fri 14 Feb 2020   14:00 - 16:00 14:00 - 16:00 Department of Genetics, Biffen Lecture, Downing Site map Dr R.J. Gruijters
4 Fri 14 Feb 2020   16:00 - 18:00 16:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Dr R.J. Gruijters
Software

Stata

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
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
https://www.ssrmc.group.cam.ac.uk/bookings/basic-statistics-stream-booking

Duration

8 hours - A morning lecture and an afternoon lab session
This is an intensive, one-day module

Theme
Basic Statistics Stream

Booking / availability