module
Postgraduate Module Descriptor
SSIM913: Longitudinal Data Analysis
This module descriptor refers to the 2022/3 academic year.
Overview
| NQF Level | 7 | ||
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| Credits | 15 | ECTS Value | 7.5 |
| Term(s) and duration | This module will run 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 |
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