Undergraduate Module Descriptor

POL1041: Data Analysis in Social Science

This module descriptor refers to the 2019/0 academic year.

Module Content

Syllabus Plan

Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover some or all of the following topics:

  • Introduction to data analysis in the social sciences
  • Creating data: conceptualization, operationalization, and measurement
  • Describing data I: tables and figures
  • Describing data II: descriptive “statistics”
  • Correlation and dependence
  • Randomness and probability
  • Sampling and “sampling distributions”
  • Statistical inference: confidence intervals
  • Hypothesis testing: introduction
  • Testing the difference between two means
  • Using quantitative methods in politics, sociology and criminology: illustration and examples

Learning and Teaching

This table provides an overview of how your hours of study for this module are allocated:

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad

...and this table provides a more detailed breakdown of the hours allocated to various study activities:

CategoryHours of study timeDescription
Scheduled Learning and Teaching Activities16.511 x 1.5 hour sessions
Scheduled Learning and Teaching Activities1010 x 1 hour computer lab sessions
Guided independent study50Writing up problem sets and completing lab assignments
Guided independent study45.5Reading and preparing for lectures and tutorials, and completing online quizzes
Guided independent study28Web-based activities to familiarise students with statistical software.

Online Resources

This module has online resources available via ELE (the Exeter Learning Environment).