SOC40830 Quantitative Data Analytics & Applications

Academic Year 2018/2019

Quantitative analysis is one of a wide menu of approaches to social science research. This module introduces you to the fundamentals of quantitative data analysis, with a particular emphasis on application. Working with real-world data, and with few assumptions of prior knowledge, it will equip you with a range of techniques to perform your own independent analyses, and design your own theoretically informed studies. We introduce you to principles of data management, visualisation, statistical inference, and modelling, with on emphasis on applied multivariate data analysis. You will also gain good grounding in use of the data analysis package Stata.

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Curricular information is subject to change

Learning Outcomes:

By the end of this module, students should be:

1. Familiar with the logic of quantitative research design, analysis, and interpretation.
2. Able to prepare, clean, and manage secondary data.
3. Competent with basic descriptive analyses.
4. Competent with data visualisation.
5. Competent with multivariate statistical techniques including multiple regression.
6. Able to design, conduct, and report a piece of independent research.

Student Effort Hours: 
Student Effort Type Hours
Lectures

22
Specified Learning Activities

110
Autonomous Student Learning

68
Total

200
 
Requirements, Exclusions and Recommendations

Not applicable to this module.



 
Description % of Final Grade Timing
Project: End of module individual research project

60

 Coursework (End of Trimester)
Assignment: Critical research review

40

 Throughout the Trimester

Compensation

This module is not passable by compensation

Resit Opportunities

In-semester assessment

Remediation

If a student fails this module s/he may repeat, resit or substitute where permissible