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Longitudinal Data and Analysis (SOCS0056)

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.

Description

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.听

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 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% In-class activity
70% 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

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% In-class activity
70% 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

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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