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The University of Southampton

RESM6004 Quantitative Methods 1

Module Overview

The emphasis will be on the practical application of statistical methods and the interpretation of results using the statistical computer software SPSS. The module will draw on a range of international and UK data sources. One of the pre-requisites for RESM6007 and STAT6108 This module is a pre-requisite for GEOG6110

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 descriptive and inferential statistics used in the social sciences and other disciplines
  • Use computers to perform statistical analyses
  • Use computers to handle and manipulate quantitative data
  • Write reports of data analysis.
  • Analyse and solve problems
  • Select appropriate statistical methods in order to answer specific research questions
  • Enter quantitative data into SPSS files
  • Carry out and interpret statistical analyses (including hypothesis tests about means and proportions, the chi-squared test of independence, and linear regression) using SPSS


This module gives a broad introduction to quantitative methods of analysis. Indicative content includes: descriptive statistics, presentation of data using tables and graphs, the Normal distribution, sampling distributions and the central limit theorem, confidence intervals, hypothesis tests for means and proportions, chi-squared test of independence, two sample t-tests, correlation and simple linear regression, multiple linear regression, regression with categorical covariates and interactions, the measurement and interpretation of effect sizes. In addition, some key international and UK data sources will be introduced.

Learning and Teaching

Teaching and learning methods

Teaching will be through a combination of multidisciplinary lectures, tutorials and computer workshops. Learning activities will include learning in lectures, which will cover explanations of the statistical methods 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 methods introduced in the lectures using SPSS. The course assumes no prior knowledge of statistical methods or SPSS, although pre-reading of Foster, Diamond and Jefferies (2015) or Field (2009) would be of benefit.

Independent Study78
Total study time100

Resources & Reading list

Other. A variety of relevant e-learning resources will be available on Blackboard. These include recordings of lectures, exercise/tutorial sheets, computer workshop sheets, datasets for analysis, reading lists, and links to online statistics textbooks and other useful websites. Resources to support the production of these blended learning materials will be made available by the Doctoral Training Centre

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

Foster, L., Diamond, I. and Jefferies, J. (2015). Beginning Statistics: an Introduction for Social Scientists. 

SPSS. 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.


Assessment Strategy

The module will be assessed by one 9 page word coursework assignment.


MethodPercentage contribution
Coursework assignment(s)  () 100%


MethodPercentage contribution
Coursework assignment(s) 100%

Repeat Information

Repeat type: Internal & External


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

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