Skip to main navigationSkip to main content
The University of Southampton

RESM6007 Quantitative Methods II

Module Overview

Quantitative Methods II builds upon the material learnt in Quantitative Methods I and introduces students to some commonly used statistical methods for analysing data.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Demonstrate knowledge and understanding of core methods of regression modelling.
  • Select appropriate statistical methods in order to answer specific research questions.
  • Analyse quantitative data using SPSS.
  • Conduct, interpret and report statistical analyses. Critically evaluate the results of such analyses.


The course covers logistic regression and other models for categorical data. Indicative topics include: binary response variables, the linear probability model, probabilities and odds, the logistic regression model, model interpretation, model selection, multinomial logistic regression, models for ordinal data, and log-linear models. The final part of the module covers a short introduction to the data reduction methods of principal component analysis and factor analysis.

Learning and Teaching

Teaching and learning methods

Teaching will be through a combination of lectures, tutorials and computer workshops. Learning activities will include learning in lectures, which will cover explanations of the statistical techniques and their use, discussing problems during the tutorials, as well as by independent study. The computer workshops will provide hands-on experience of the analysis of data and the application of the techniques introduced in the lectures using SPSS

Independent Study80
Total study time100

Resources & Reading list

Agresti, A. (2007). An Introduction to Categorical Data Analysis. 

Software requirements. You will require access to SPSS, which is available on the University’s computer workstations and can be downloaded to your own computer for use with your studies.

Hosmer, D. W. and Lemeshow, S. (2000). Applied Logistic Regression. 

Field, A. (2009). Discovering Statistics Using SPSS. 

Manly, B. F. J. (2005). Multivariate Statistical Methods: a Primer. 



MethodPercentage contribution
Coursework assignment(s)  (3000 words) 100%


MethodPercentage contribution
Coursework assignment(s)  (3000 words) 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisites: RESM6004


Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Books and Stationery equipment

Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase reading texts as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at

Share this module Share this on Facebook Share this on Twitter Share this on Weibo
Privacy Settings