SC968-7-SP-CO:
Advanced Quantitative Analysis: Models for Cause and Effect

The details
2024/25
Sociology and Criminology
Colchester Campus
Spring
Postgraduate: Level 7
Current
Monday 13 January 2025
Friday 21 March 2025
20
26 May 2023

 

Requisites for this module
(none)
(none)
SC504
(none)

 

(none)

Key module for

MSC L31012 Survey Methods for Social Research,
MSC L310MO Survey Methods for Social Research,
MSC L31112 Migration Studies,
MPHDB79748 Health Studies,
PHD B79748 Health Studies

Module description

This is an intensive module on advanced statistical modelling and casual techniques. The study materials will be covered over seven weeks. Each week, a one-hour lecture will be followed by a two-hour lab-based session, where students will use Stata to implement the methods covered in the lectures.


Due to the advanced research methods involved in this module, some prior experience of quantitative research methods is required. SC504-7-AU would be the most relevant module to take alongside this module. 

Module aims

The aims of this module are:



  • To get familiar with the concept of causality in statistics

  • To understand of the motivation and theoretical underpinnings of common counterfactual designs

  • To gain an overview of common tools for causal analysis

  • To understand the strengths and weaknesses of these tools for answering specific research questions

  • To learn to use these tools in Stata

  • To develop skills to critically discuss research findings and their interpretations in the scientific literature in terms of causality

Module learning outcomes

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



  1. Use various methods for causal analysis

  2. Discuss the strengths, weaknesses, and limitations of different approaches

  3. Apply common tools for causality to specific research questions

  4. Implement counterfactual models in Stata

  5. Interpret outputs from counterfactual models in Stata

  6. Critically assess published studies from social science literature in terms of causality

Module information

The module will cover:



  • Randomised Controlled Trials

  • Conceptualising Causality

  • Regression Designs

  • Instrumental Variables

  • Regression Discontinuity Designs

  • Difference in Differences Models

Learning and teaching methods

Each one hour lecture is followed by a two hour lab-based session where students will use Stata to implement the methods covered in the lectures. Please note that this is an intensive course, and most students will need to spend one or two hours in the lab each week, in addition to these scheduled sessions, in order to cover the work.

Bibliography*

This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Assignment 1    20% 
Coursework   Assignment 2    30% 
Coursework   Assignment 3    50% 

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 Zsofia Boda, email: zsofia.boda@essex.ac.uk.
Dr Zsofia Boda
socpgtad@essex.ac.uk

 

Availability
Yes
No
Yes

External examiner

Prof Benjamin Bradford
University College London
Professor
Resources
Available via Moodle
Of 29 hours, 11 (37.9%) hours available to students:
18 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

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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