Data Analysis in Social Science
Module SOC1041 for 2018/9

Undergraduate Module Descriptor

SOC1041: Data Analysis in Social Science

This module descriptor refers to the 2018/9 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:

1) Introduction to data analysis in the social sciences

2) Creating data: conceptualization, operationalization, and measurement

3) Describing data I: tables and figures

4) Describing data II: descriptive “statistics”

5) Correlation and dependence

6) Randomness and probability

7) Sampling and “sampling distributions”

8) Statistical inference: confidence intervals

9) Hypothesis testing: introduction

10) Testing the difference between two means

11) 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 activity	16.5	11 x 1.5 hour sessions
Scheduled Learning and Teaching activity	10	10 x 1 hour computer lab sessions
Guided independent study	50	Writing up homework and lab assignments (including time spent familiarizing yourself with software packages and routines required to solve homework/lab problems)
Guided independent study	45.5	Reading and preparing for lectures and tutorials
Guided independent study	28	Web-based activities preparing for lectures and tutorials

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

Additional resources available on ELE – http://vle.exeter.ac.uk/