Undergraduate Module Descriptor

POL1041: Data Analysis in Social Science

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

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

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

Scheduled Learning and Teaching Activities	Guided independent study	Placement / study abroad
26.5	123.5	0

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

Category	Hours of study time	Description
Scheduled Learning and Teaching Activities	16.5	11 x 1.5 hour sessions
Scheduled Learning and Teaching Activities	10	10 x 1 hour computer lab sessions
Guided independent study	50	Writing up problem sets and completing lab assignments
Guided independent study	45.5	Reading and preparing for lectures and tutorials, and completing online quizzes
Guided independent study	28	Web-based activities to familiarise students with statistical software.

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