skip to navigation skip to content
Tue 9 Nov, Tue 16 Nov, ... Tue 30 Nov 2010
16:00 - 18:00

Venue: Titan Teaching Room 2

Provided by: Joint Schools' Social Sciences


Booking

Bookings cannot be made on this event (Event is in the past).


Other dates:


2011


2020



Register interest
Register your interest - if you would be interested in additional dates being scheduled.


Booking / availability

Module 7: Regression and binary and categorical outcomes
Prerequisites

Tue 9 Nov, Tue 16 Nov, ... Tue 30 Nov 2010

Description

Module is designed to teach students how to analyse different types of data using SPSS; including outputs, conducting diagnostic tests, calculating effect sizes and make predictions.

Target audience

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

Prerequisites

Students expected to be familiar with the basic logic of statistical reasoning and concepts of variance and correlation.

Sessions

Number of sessions: 4

# Date Time Venue Trainer
1 Tue 9 Nov 2010   16:00 - 18:00 16:00 - 18:00 Titan Teaching Room 2 A. Sutherland
2 Tue 16 Nov 2010   16:00 - 18:00 16:00 - 18:00 Titan Teaching Room 2 A. Sutherland
3 Tue 23 Nov 2010   16:00 - 18:00 16:00 - 18:00 Titan Teaching Room 2 A. Sutherland
4 Tue 30 Nov 2010   16:00 - 18:00 16:00 - 18:00 Titan Teaching Room 2 A. Sutherland
Topics covered
  • Session 1: Introduction & Binary I Probability,odds & logit
  • Session 2: Binary II: Logistic regression in SPSS
  • Session 3: Binary III Diagnostics for logistic regression
  • Session 4: Binary IV, categorical and ordinal.
Objectives
  • The objective is to teach students how to analyse different types of data using SPSS
Aims

To enable students to deal with outcomes that form "yes" or "no" responses to questions and unordered or ordered response variable

Format

Presentations, demonstrations and practicals

Taught using

SPSS v. 16 on PWF Windows

Assessement

Three exercises

Textbook(s)
  • Field,A. Discovering Statistics Using SPSS. London:Sage.
  • Tarling, R (2009) Statistical Modelling for Social Researchers: Principles and Practice. London: Routledge.
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 Michaelmas term

Themes

Booking / availability

Override user: