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2011/2 Provisional Module Catalogue - UNDER CONSTRUCTION & SUBJECT TO CHANGE
 Module Code: SOCM024 Module Title: PRINCIPLES OF STATISTICAL MODELLING
Module Provider: Sociology Short Name: SOCM20
Level: M Module Co-ordinator: TARLING R Prof (Sociology)
Number of credits: 15 Number of ECTS credits: 7.5
 
Module Availability
Autumn semester, second year
Assessment Pattern
Two analysis exercises. 
Module Overview
Prerequisites/Co-requisites
Module Aims
Learning Outcomes
Module Content

Course Syllabus

  • Description, definition of, and assumptions regarding statistical models
  • The General Linear Model
  • Models for continuous response (multiple regression)
  • Models for a binary response (logistic regression) 
  • Models for a categorical response
  • Implications for modelling when data are consored, hierarchical or from longidudinal studies.
Methods of Teaching/Learning

By the end of the module the students should:

Be familiar with the rationale and terminology of statistical modelling and to understand the logic of model development and testing.
Be able to develop multiple regression, ligistic regression and multinomial logistic regression models using SPSS and to interpret the results
To be familiar with other modelling techniques such as survival analysis and ultilevel modelling
Tobe aware of other statistical modelling software packages.
Selected Texts/Journals

Tarling, R (2008) Statistical Modelling for Social Researchers, Principles and Practice, Routlege.
Last Updated
27th August 2009