SC202-5-AU-CO:
Researching the Real World: Quantitative Approaches to Studying Crime and Society

The details
2024/25
Sociology and Criminology
Colchester Campus
Autumn
Undergraduate: Level 5
Current
Thursday 03 October 2024
Friday 13 December 2024
15
10 May 2024

 

Requisites for this module
(none)
(none)
(none)
(none)

 

SC208, SC385, SC831

Key module for

BSC L315 Sociology (Applied Quantitative Research),
BSC L316 Sociology (Applied Quantitative Research) (Including Year Abroad),
BSC L317 Sociology (Applied Quantitative Research) (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 using computer software to analyse quantitative data. With these foundational skills, students can then specialise in the spring term by choosing other quantitative-based methods modules.

Module aims

The aims of this module are:



  • To introduce students to some of the methods and principles commonly used in sociological research for the analysis of quantitative data and the use of software to aid this task

  • To introduce students to basic principles for statistical theory and methods necessary to analyse numerical data.

Module learning outcomes

By the end of this module, students will be expected to be able to:



  1. Understand the principles of analysing quantitative data

  2. Use computer software and tools to analyse quantitative data

  3. Make valid interpretations and draw appropriate inferences from the analysis of data

  4. To report the results of data analysis in a clear and concise form

Module information

This module will cover quantitative data analysis using software tools.


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

This module will be delivered via:

  • One 1-hour lecture each week.
  • One 2-hour computer lab each week.

Bibliography*

(none)

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Online Quiz - week 5     10% 
Coursework   Online Quiz - week 9    10% 
Coursework   Qualitative Analysis Report    40% 
Coursework   Quantitative Analysis Report    40% 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
Dr Giacomo Vagni, email: g.vagni@essex.ac.uk.
Dr Giacomo Vagni
E-mail: socugrad@essex.ac.uk

 

Availability
Yes
Yes
Yes

External examiner

Dr Emily Gray
University of Warwick
Assistant Professor of Criminology
Resources
Available via Moodle
No lecture recording information available for this module.

 

Further information
Sociology and Criminology

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

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