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HS52005: AQM 2 - Advanced modelling techniques for social sciences

[Page last updated: 15 August 2024]

Academic Year: 2024/25
Owning Department/School: Faculty of Humanities & Social Sciences (units for MRes programmes)
Credits: 5 [equivalent to 10 CATS credits]
Notional Study Hours: 100
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CWRI 100%
Assessment Detail:
  • Report (CWRI 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: You will:
* acquire knowledge of and competence in the use of advanced quantitative techniques drawn from a range of social science disciplines;
* be able to produce, use and interpret the results from structural equation models;
* understand and be able to implement path analysis;
* understand and be able to implement social network analysis;
* understand and be able to implement latent class models;
* understand and be able to implement linear mixed models;
* understand and be able to implement meta analyses.


Synopsis: Explore key social sciences data analysis techniques. These techniques aren¿t covered in `AQM 1 - Experimental and Quasi-experimental Quantitative Methods in Social Science¿. This unit aims to introduce you to these approaches, and provide you with: - theoretical understanding of these techniques and practical experience using them - the knowledge to critically appraise research findings using these techniques - an insight into how these methods can be applied in your own field

Content: Topics to be covered include: structural equation models, path analysis, social network analysis, latent class models, linear mixed models and meta analysis techniques.

Course availability:

HS52005 is a Must Pass Unit on the following courses:

Department of Education
  • THED-AFM72 : MRes Advanced Quantitative Methods in Social Sciences 

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.