Getting started: An introduction to four British cohort studies

Description:

New to the CLS cohort studies? This webinar will give you an overview of four internationally renowned national cohort studies and the wide range of opportunities they offer to researchers.

About the event

This flagship CLS webinar will give first-time users an insight into four world-leading cohort studies. 

These studies follow generations born between 1958 and 2002 and are a powerful resource for addressing a wide range of scientific questions in various social, economic, health, political and geographical sciences. The data are free to download from the UK Data Service. 

What’s covered?

You will learn about the data collected in each study, possible research topics, how to access and get started with the data and examples of the types of analyses that can be undertaken using the following studies: 

• 1958 National Child Development Study 
• 1970 British Cohort Study 
• Next Steps 
• Millennium Cohort Study. 

Why attend?

• Gain an overview of the type of research topics that the data could offer.
• Find out about the types of analyses that can be performed with the data.
• Learn how the cohort studies could be used in coursework or dissertations.
• Discover how to access and get started handling the data.
• Get answers to specific questions about the cohort studies and how to use them.

Who should attend?

This webinar is suitable for a wide range of researchers including: 

• postgraduate students (Masters and PhD) interested in using the cohorts for a dissertation or thesis
• undergraduate students looking for data resources for their final year dissertation
• researchers in academia (particularly early career researchers)
• researchers in the public or the third sector new to the cohort studies. 

Cost:

Free

Website and registration:

Register for this course

Region:

Greater London

Keywords:

Longitudinal Research , Cohort study, Data Collection, Data Quality and Data Management , Mixed Methods Data Handling and Data Analysis, Research Management and Impact, Simple analyses, Confounder control, Repeated measures, Cross-cohort analysis, data access, data protocols, structure and merging, Study design and weights, attrition

Related publications and presentations from our eprints archive:

Longitudinal Research
Cohort study
Data Collection
Data Quality and Data Management
Mixed Methods Data Handling and Data Analysis
Research Management and Impact

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