The University of Southampton
Courses

RESM6104 Quantitative Methods I (Intensive)

Module Overview

The aim of this module is to provide an introduction to the use of statistical methods for the analysis of quantitative data and their application in a range of disciplinary contexts. This will include both descriptive statistics and elementary inferential statistics. 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.

Aims and Objectives

Module Aims

To provide an introduction to the use of statistical methods for the analysis of quantitative data and their application in a range of disciplinary contexts. This will include both descriptive statistics and elementary inferential statistics.

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
• Analyse and solve problems
• Select appropriate statistical methods in order to answer specific research questions
• Conduct the basic operations of quantitative data input using SPSS
• Handle and manipulate data using SPSS
• Perform statistical analyses using SPSS
• Write reports of data analysis
• Carry out and interpret statistical analyses (including hypothesis tests about means and proportions, the chi-squared test of independence, and linear regression) using SPSS

Syllabus

This module gives a broad introduction to quantitative methods of analysis. 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.

Special Features

This module is one of the ESRC DTC’s seven research methods modules. The modules are taught by leading experts from across Academic Units and Faculties. This co-ordinated research methods training programme brings together students from across the faculties of Human and Social Sciences, Humanities and Health Sciences. The module will include an introduction to the statistical software SPSS.

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.

TypeHours
Independent Study80
Teaching20
Total study time100

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

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

Assessment

Assessment Strategy

The module will be assessed by one 2,500-3,000 word coursework assignment. The coursework will require you to write a report on the analysis of a given dataset using SPSS and the application of the statistical methods covered during the module to investigate a substantive problem.

Summative

MethodPercentage contribution
Coursework  (3000 words) 100%

Referral

MethodPercentage contribution
Coursework 100%