SC202-5-AU-CO:
Researching the Real World: Quantitative Approaches to Studying Crime and Society
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
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)
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.
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.
By the end of this module, students will be expected to be able to:
- Understand the principles of analysing quantitative data
- Use computer software and tools to analyse quantitative data
- Make valid interpretations and draw appropriate inferences from the analysis of data
- To report the results of data analysis in a clear and concise form
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.
This module will be delivered via:
- One 1-hour lecture each week.
- One 2-hour computer lab each week.
The above list is indicative of the essential reading for the course.
The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students.
Further reading can be obtained from this module's
reading list.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
R/Stats Quiz 1: In-class, week 4 |
|
20% |
| Coursework |
R/Stats Quiz 2: In-class, week 6 |
|
20% |
| Coursework |
Quantitative Analysis Report - 2,000 words |
12/12/2024 |
60% |
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
Reassessment
Module supervisor and teaching staff
Dr Giacomo Vagni, email: g.vagni@essex.ac.uk.
Dr Giacomo Vagni
E-mail: socugrad@essex.ac.uk
Yes
Yes
Yes
Dr Emily Gray
University of Warwick
Assistant Professor of Criminology
Available via Moodle
Of 18 hours, 18 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.
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