Module 04: Linear Regression (Series 2) *Taught using R software BeginnersPrerequisitesNewUpdated
This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.
Module 4 introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using R and how to access and solve possible problems with a regression model.
- MPhil and PhD students from participating departments taking the Social Science Research Methods Course as part of their research degree
- Students expected to have solid understanding of topics discussed in Modules 1-3.
- Students need to have firm knowledge of covariance, correlation, and comparison of means.
- Students also need to have working knowledge of using R (but class notes are provided).
Number of sessions: 4
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Mon 21 Jan 2013 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | N. Janz |
| 2 | Mon 28 Jan 2013 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | N. Janz |
| 3 | Mon 4 Feb 2013 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | N. Janz |
| 4 | Mon 11 Feb 2013 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | N. Janz |
- Session 1: Review of concepts/introduction to bivariate regression
- Session 2: Multiple linear regression
- Session 3: Regression diagnostics I
- Session 4: Regression diagnostics II - taking regression further.
- The objective is to learn the assumptions underlying regression models
- To run regression analysis using R
- To assess an solve possible problems with a regression model
- To learn fundamental statistical techniques - regression analysis
Presentations, demonstrations and practicals
R on MCS
- One online assessment
Throughout all introductory statistics modules the main textbook is:
- Field, Andy (2009), Discovering Statistics using SPSS. London:Sage
- To gain maximum benefits from the course it is important that students do not see this course in isolation from the other MPhil courses or research training they are taking.
- Responsibility lies with each student to consider the potential for their own research using methods common in fields of the social sciences that may seem remote. Ideally this task will be facilitated by integration of the SSRMC with discipline-specific courses in their departments and through reading and discussion.
Four sessions of two hours.
Once a week for four weeks.
Booking / availability