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Postgraduate Module Descriptor


SSIM913: Longitudinal Data Analysis

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

Overview

NQF Level7
Credits15 ECTS Value7.5
Term(s) and duration

This module ran during term 2 (11 weeks)

Academic staff

Dr Nitzan Peri-Rotem (Convenor)

Pre-requisites

Quantitative Data Analysis

Co-requisites

None

Available via distance learning

No

This module introduces applied methods in longitudinal data analysis, where the same individuals are observed multiple times. You will learn about major data sources from the UK and other countries used for longitudinal studies. You will also obtain practical knowledge of key concepts in longitudinal methods and the strengths and weaknesses of this approach. The second part of the module will focus on event history analysis, which is used in various areas of social and biomedical sciences. This module includes hands-on lab sessions, using STATA software, to gain practical experience in implementing longitudinal methods. Students taking this module should be familiar with basic techniques of regression analysis.

Module created

22/06/2017

Last revised

07/09/2022