Key information
- Faculty
- IOE
- Teaching department
- Social Research Institute
- Credit value
- 15
- Restrictions
-
This module is open to all students, but priority will be given to students in the Social Research Institute. Students must have completed Introduction to Regression Analysis in the autumn term or have equivalent experience. If you wish to be considered for an exemption from this pre-requisite, please email Neus Bover-Fonts (n.bover-fonts@ucl.ac.uk) with your request, listing any relevant modules you have taken previously and their grade. Please indicate if you are a student on the MSc Social Research Methods or MSc Social Policy and Social Research programme.
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
This module is an introduction to longitudinal data and analysis methods for people who have some quantitative background or for those who want to brush up on these skills having not studied them for a while. It will familiarise students with different longitudinal designs, longitudinal data available for secondary analysis and methodological issues of longitudinal research, including handling missingness and attrition. The module introduces students to different longitudinal analytic techniques such as fixed effects and random effects models, structural equation modelling and latent growth modelling and event history analysis.Ìý
Each lecture will be mirrored by a practical workshop where students will put the analytical techniques introduced that week to use. Using the Centre for Longitudinal Studies (CLS) British cohort studies data, students will learn how to handle and analyse large datasets using a statistical computer package and develop good practice in presenting and interpreting their results.
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Exam
- Mark scheme
-
Letter Grade
Other information
- Number of students on module in previous year
-
15
- Module leader
-
Dr Dario Moreno Agostino
- Who to contact for more information
- mscsrm@ucl.ac.uk
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In Person
- Methods of assessment
-
100%
Exam
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
0
- Module leader
-
Dr Dario Moreno Agostino
- Who to contact for more information
- mscsrm@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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