The University of Southampton

STAT6077 Social Science Data: Sources and Measurement

Module Overview

Aims and Objectives

Module Aims

This module will introduce key sources of social science data (both UK and non-UK) including official statistics across a range of substantive areas and the measurement of key concepts within those substantive areas. It will also introduce students to the use of the STAT statistical software package.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Demonstrate knowledge and understanding of a variety of measures used for key substantive areas
  • Demonstrate knowledge and understanding of different data sources that can be used to measure and address substantive issues in the social sciences
  • Apply data handling and manipulation skills
  • Apply problem analysis and problem solving skills
  • Use Statistical computing with STATA
  • Discuss advantages and disadvantages of different measures of key concepts
  • Measure key concepts with data both in principle and in practice
  • Use STATA and interpret STATA output


The range of subjects across the social sciences that are measured with quantitative data is very broad and the content of the module will need to be selective. The module will in particular cover topics relevant to core dimensions of living standards – for example, income inequality and poverty, education, work patterns, crime, attitudinal data and subjective wellbeing. From year to year different topics will be covered, although at least one of the topics of income inequality and poverty will be taught each year. The content of the module will also vary with staff availability, especially since the module will be team-taught drawing on staff research interests. A major feature of this module is the exposure to STATA.

Special Features

In computer workshops, you will use key UK data sources from which national statistics are derived (e.g. unemployment rate, poverty incidence).

Learning and Teaching

Independent Study80
Total study time100

Resources & Reading list

Jenkins, S. (1991). The Measurement of Income Inequality, in Osberg, L. (ed) Economic Inequality and Poverty: International Perspectives.. 

Other. You will require access to the STATA software, which is available on the University’s computer workstations. Note that this software is not currently available for download to your own computer for use with your studies

Jäntti, M. and Danziger, S. (2000). Income Poverty in Advanced Countries, in Atkinson, A. B. and Bourguignon, F. (eds). Handbook of Income Distribution Volume 1. 

Blank, R. (2008). How to improve Poverty Measurements in the United States. Journal of Policy Analysis and Management. ,27 , pp. 0.

Atkinson, A. B. (1998). Poverty and Social Security. 



MethodPercentage contribution
Assignment  ( words) 100%


MethodPercentage contribution
Coursework assignment(s) 100%

Repeat Information

Repeat type: Internal & External

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