Linear Regression (Intensive) Part II (bookings via SSRMC Administrator)

PrerequisitesNew

Bookings for this module open on THURSDAY, 11 DECEMBER at 10:00 am
For more information see: http://www.ssrmc.group.cam.ac.uk/ssrmc-modules/core/making/windows

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.

This course is an extension of Linear Regression (Intensive) Part I. Building upon on the first course, here we examine advanced topics in regressions: (a) interactions, (b) simple slopes, (c) mediations, and (d) power analyses. All analyses are done in R.

• Mphil and PhD students from participating departments taking the Social Science Research Methods Centre training programme as part of their research degree

• Linear Regression (Intensive) - Part 1
• A firm knowledge of covariance, correlation, and comparison of means
• A working knowledge of using R
• You must have a University Information Services (Computing) Desktop Services password (http://www.ucs.cam.ac.uk/linkpages/newcomers)
• You must have access to CamTools

• Session 1: Interactions with Continuous Variables
• Session 2: Interactions with Categorical Variables
• Session 3: Simple Slopes
• Session 4: Mediations and Power Analyses

• To learn the more advanced assumptions underlying regression models
• To run regression analysis using R
• To assess and solve possible problems with a regression model

• Examining advanced topics in regressions

Presentations, demonstrations and practicals

R on MCS

• One final test (optional, dependent upon Department)

• 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.

12 hours in total / four sessions of three hours each

Once in Lent term 2015