Analysing Social Life

The details
Colchester Campus
Undergraduate: Level 5
Thursday 06 October 2022
Friday 16 December 2022
20 May 2022


Requisites for this module



Key module for

BA M900 Criminology,
BA M901 Criminology (Including Year Abroad),
BA M903 Criminology (Including Foundation Year),
BA M904 Criminology (Including Placement Year),
MSOCM999 Criminology,
MSOCMX98 Criminology (Including Placement Year),
MSOCMX99 Criminology (Including Year Abroad),
BA L3C8 Criminology with Social Psychology,
BA L3H8 Criminology with Social Psychology (Including Placement Year),
BA LHC8 Criminology with Social Psychology (Including Year Abroad),
BA LP33 Media and Digital Culture,
BA LP34 Media and Digital Culture (including Placement Year),
BA P300 Media and Digital Culture (including Foundation Year),
BA PL33 Media and Digital Culture (including Year Abroad),
BA CL83 Sociology with Social Psychology,
BA CL93 Sociology with Social Psychology (Including Placement Year),
BA CLV3 Sociology with Social Psychology (Including Year Abroad),
BA L300 Sociology,
BA L301 Sociology (Including Year Abroad),
BA L304 Sociology (Including Foundation Year),
BA L306 Sociology (Including Placement Year),
MSOCL399 Sociology,
MSOCLA40 Sociology (Including Placement Year),
MSOCLA41 Sociology (Including Year Abroad),
BA LM38 Sociology and Criminology (Including Placement Year),
BA LM39 Sociology and Criminology,
BA LMH9 Sociology and Criminology (Including Year Abroad),
BA LMHX Sociology and Criminology (Including Foundation Year),
BA L3J9 Sociology with Human Rights (Including Placement Year),
BA L3M9 Sociology with Human Rights,
BA LMJ9 Sociology with Human Rights (Including Year Abroad),
BSC L315 Sociology (Applied Quantitative Research),
BSC L316 Sociology (Applied Quantitative Research) (Including Year Abroad),
BSC L317 Sociology (Applied Quantitative Research) (Including Placement Year),
BA L333 Criminology with Counselling Skills,
BA L334 Criminology with Counselling Skills (Including Year Abroad),
BA L335 Criminology with Counselling Skills (Including Placement Year),
BA LM11 Criminology with Criminal Law,
BA LM12 Criminology with Criminal Law (Including Year Abroad),
BA LM13 Criminology with Criminal Law (Including Placement Year),
BSC L310 Sociology with Data Science,
BSC L311 Sociology with Data Science (including Year Abroad),
BSC L312 Sociology with Data Science (including Placement Year),
BSC L313 Sociology with Data Science (including foundation Year)

Module description

This module provides 2nd year students with the tools to put into practice what they have learned in their first year methods module(s) using computer software to analyse data, both qualitative and quantitative. With these foundational skills, students can then specialise in the spring term by choosing either qualitative (SC203) or quantitative-based (SC208) methods modules.

Module aims

The aims of this module are:

1. To introduce students to some of the methods and principles commonly used in sociological research for the analysis of quantitative and qualitative data and the use of software to aid this task
2. To introduce students to basic principles for textual analysis as well as basic statistical theory and methods necessary to analyse numerical data.

Module learning outcomes

By the end of this module students will be able:
1. To understand the principles of analysing qualitative and quantitative data
2. To be able to use computer software and tools to analyse qualitative data
3. To be able to use computer software and tools to analyse quantitative data
4. To be able to make valid interpretations and draw appropriate inferences from the analysis of data
5. To be able to report the results of data analysis in a clear and concise form

Module information

Block 1: Qualitative Data Analysis
Topic 1 - Week 2: Introduction to using secondary Qualitative Data
Topic 2 - Week 3: Finding secondary data: exploring the archives
Topic 3 - Week 4: Analysing Qualitative data using Content Analysis
Topic 4 - Week 5: Analysing Qualitative data using Thematic Analysis
Topic 5 - Week 6: Writing up Qualitative Data Analysis

Block 2: Quantitative Data Analysis
Topic 6 - Week 7 Describing and summarising your quantitative data
Topic 7 - Week 8 Samples and populations: statistical inference
Topic 8 - Week 9 Statistical significance: testing hypotheses
Topic 9- Week 10 Breaking data down by groups: contingency tables
Topic 10 - Week 11 What goes with what?: correlation analysis
This module is part of the Q-Step pathway. Q-Step is an award which you can gain simply by enrolling on specific modules and will signal to employers your capability in quantitative research. Learn more about the Q-Step pathway and enhance your degree now.

Learning and teaching methods

1hr weekly lecture, 2hr weekly computer lab



Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Online Quiz - week 6    10% 
Coursework   Qualitative Analysis Report    40% 
Coursework   Online Quiz - week 9    10% 
Coursework   Quantitative Analysis Report    40% 

Overall assessment

Coursework Exam
100% 0%


Coursework Exam
100% 0%
Module supervisor and teaching staff
Prof Nick Allum, email:
Dr Katy Wheeler, email:
Professor Nick Allum & Dr Katy Wheeler
Jane Harper, Student Administrator, Telephone: 01206 873052 E-mail:



External examiner

No external examiner information available for this module.
Available via Moodle
No lecture recording information available for this module.


Further information

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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