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Postgraduate Module Descriptor

SSIM913: Longitudinal Data Analysis

This module descriptor refers to the 2022/3 academic year.

Module Content

Syllabus Plan

Whilst the module’s precise content and order of syllabus coverage may vary, it is envisaged that it will include the following topics:

  • Introduction to longitudinal data analysis and its applications.
  • Testing assumptions in panel data analysis.
  • Dealing with attrition and missing data.
  • Fixed and random-effects models.
  • Event history (Survival) models: What they are and when to use them.
  • Survivor and hazard functions
    I.        Kaplan-Meier estimators
    II.        Life tables
  • Continuous time models
  • Discrete time models
  • Using time-varying predictors
  • Complex models: repeated events and competing risks models.
  • Testing for unobserved heterogeneity (frailty models).

Learning and Teaching

This table provides an overview of how your hours of study for this module are allocated:

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad

...and this table provides a more detailed breakdown of the hours allocated to various study activities:

CategoryHours of study timeDescription
Scheduled Learning and Teaching2211x 2 hours of lectures, seminars and practical labs - lectures cover the main concepts and data analysis skills of the course.
Guided Independent Study38Reading and preparing for seminars (around 4-6 hours per week);
Guided Independent Study90researching and writing assessments and assignments (researching, planning and writing the course work).

Online Resources

This module has online resources available via ELE (the Exeter Learning Environment).

UK Data Services -

Generations and Gender Programme -

ELE – College to provide hyperlink to appropriate pages

Other Learning Resources

There are a range of data sets that will be used in the course:

British Household Panel Survey: Waves 1-18, 1991-2009  

Understanding Society: Waves 1-6, 2009-2015  

GGP: Waves 1-2.