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Quantitative Data Analysis (Module)

Module description

This module aims to provide students with an understanding of statistics in the social sciences, and the ability to interrogate a social science dataset statistically using SPSS.

On completion of this module, students will:

  • Understand the concepts behind basic descriptive and inferential statistics for social science research, and how to interpret these statistics;
  • Understand the principles of correlation, t-tests, chi-square and regression in social science research, and how to interpret these tests;
  • Demonstrate competence in a basic level of data manipulation using SPSS to prepare social science datasets for statistical analysis;
  • Demonstrate competence in the use of statistical software (SPSS) to interrogate social science datasets using descriptive statistics and commonly used statistical tests.

We recommend either or both of the following text books as core reading for this module:

  • Fielding and Gilbert (2006) Understanding Social Statistics. Second Edition. London: SAGE
  • Agresti & Finlay (2009) Statistical Methods for the Social Sciences. Fourth Edition. New Jersey: Prentice Hall.

Staff information

Dr Jennifer Dowd

Teaching pattern

Lectures followed by computer labs.

Module assessment - more information

1 x 3,500 word essay (100%)

Key information

Module code 7SSHM504

Credit level 7

Assessment coursework

Credit value 15

Semester Semester 2 (spring)

Study abroad module No