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Mon 21 Feb, Mon 28 Feb, ... Mon 14 Mar 2011
14:00 - 16:00

Venue: Titan Teaching Room 2

Provided by: Joint Schools' Social Sciences


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Module 4: Linear Regression (Series 2)
BeginnersPrerequisites

Mon 21 Feb, Mon 28 Feb, ... Mon 14 Mar 2011

Description

Module 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 SPSS and how to access and solve possible problems with a regression model.

Target audience

Mphil Students from participating departments taking the Social Science Research Methods Course as part of their research degree

Prerequisites

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 SPSS.

Sessions

Number of sessions: 4

# Date Time Venue Trainer
1 Mon 21 Feb 2011   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 A. Sutherland
2 Mon 28 Feb 2011   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 A. Sutherland
3 Mon 7 Mar 2011   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 A. Sutherland
4 Mon 14 Mar 2011   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 A. Sutherland
Topics covered
  • Session 1:Review of covariance, correlations and comparison of means. Introduction to bivariate linear regression.
  • Session 2: Multivariate linear regression
  • Session 3: Assessing regression models
Objectives
  • The objective is to learn the assumptions underlying regression models
  • To run regression analysis using SPSS
  • To assess an solve possible problems with a regression model
Aims
  • To learn fundamental statistical techniques - regression analysis
Format

Presentations, demonstrations and practicals

Taught using

SPSS v. 16 on PWF Windows

Assessement

Three exercises

Textbook(s)

Throughout all introductory statistics modules the main textbook is:

  • Field, Andy (2009), Discovering Statistics using SPSS. London:Sage
Notes
  • To gain the 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.
Duration

Four sessions of two hours

Frequency

Four times in Lent term

Related courses
Theme
Foundations in Statistics

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