This course comprises a series of introductory workshops for students facing the challenges of using ‘real-world’ datasets. It helps participants get to grips with accessing, preparing and analysing datasets from UK longitudinal studies, using examples from actual datasets available from the UK Data Service (UKDS). The course is being run jointly between CLOSER and the UKDS.
Are you new to using longitudinal study data, or are you looking to use ‘real-world’ datasets for the first time? Perhaps you are looking to use longitudinal study datasets for your Dissertation but are unsure where to start?
This course will help you to become familiar with the basics of data access, how to clean and prepare datasets, and how to use, report and interpret outputs of analysis. It uses real datasets from longitudinal studies as guided examples, with interactive quizzes and hands-on analysis tasks to help you become confident in using real-world longitudinal datasets.
Prerequisites: This course is aimed at undergraduates or recent post-graduates with some knowledge of Stata and a basic understanding of statistical techniques. Participants will require access to a computer with Stata version 13 or newer installed (including during the live webinar sessions).
Timing and access
The course commences the week beginning 7th March 2022 and includes three 60-minute webinars on consecutive Wednesdays: 9th, 16th and 23rd March 2022 from 13.00-14.00 GMT. Requires 6-8 hours study, including participation in the webinars.
You can register now via the UCL Extend website for the course
Who is this course for?
The course is designed for undergraduate and master’s students in social sciences or epidemiology/health research who are interested in learning more about how to access, prepare and analyse real-world longitudinal quantitative data. It is designed as a refresher on existing learning to provide guidance on undertaking quantitative data research in practice.
What prior knowledge do I need?
The content of the course assumes some knowledge of basic statistical techniques (descriptive statistics, regression modelling) and requires some previous experience of using Stata (some familiarity with basic commands). It is suitable for undergraduate-level students and would be particularly useful for students with some quantitative experience. There will be some preparatory reading to do before each session.
How do I use the course?
You will need to register and log-in in advance of the sessions to confirm your participation and to access the course materials. Once you have registered you will be instructed on how to create a free UKDS account so that you can access and download the datasets used in the course.
The course is divided into three sessions: 1) Understanding and Accessing Longitudinal Study Data, 2) Preparing a Dataset for Analysis; and 3) Producing and Reporting Descriptive Statistics and Regression Analyses in Stata. In addition to the interactive webinars, course materials will include quizzes to test your knowledge, assignments to practise in your own time and access to web-based resources (reading lists, useful links, FAQs).
- Dr Neil Kaye, Research Fellow at CLOSER, UCL Institute of Education
- Dr Dara O’Neill, Senior Research Fellow at CLOSER, UCL Institute of Education
- Beate Lichtwardt, Senior Training and Support Officer at UK Data Service
If you have any questions or require further information about this course, please contact CLOSER Digital Communications and Events Manager, Jennie Blows at firstname.lastname@example.org
CLOSER Learning Hub
Interested in finding out more about longitudinal studies and research in general?
Take a look at the CLOSER Learning Hub – an educational resource designed to introduce longitudinal studies to beginners.
The online platform includes information and resources covering basics of longitudinal studies, study design, and analysis techniques and has recently been refreshed to include more content, a new, focused look and additional subject areas. Users can access learning modules, teaching datasets, and research case studies, which explore how longitudinal studies can be used to investigate topics such as obesity, social mobility, and childhood bullying.
Explore the CLOSER Learning Hub.