Getting started with secondary analysis
UK Data Services
Dr Nigel de Noronha and Dr Maureen Haaker
Entry (no or almost no prior knowledge)
Participants will learn about the key issues to consider when using secondary data analysis as a method. This introductory workshop will briefly cover the pros and cons of reusing data and the importance of learning about the origins of your data. Quantitative and qualitative secondary analysis will be discussed with examples and issues of context, sampling, plus ethics raised.
The session is more conceptual than many of our other workshops, which are more suited to those who want a more practical introduction to our data. The practical elements of the session will focus on exploring documentation and finding suitable data to support your research.
The free 90-minute workshop will consist of an interactive presentation followed by a live demonstration and a facilitated activity. There will be time at the end for questions and discussion.
In order to fully take part in the workshop, attendees should already be familiar with the basic methods of qualitative or quantitative data research.
Presenters: Nigel de Noronha and Maureen Haaker
Experience/knowledge required: Basic methods of qualitative or quantitative data research
Target audience: Researchers/anyone interested in reusing data
This event is part of our UK Data Service introductory training series: Spring 2023.
This event will be livestreamed on our UK Data Service YouTube channel but the chat will be disabled. By registering and attending the Zoom event you will be able to ask questions and interact.
Recordings of UK Data Service events are made available on our YouTube channel and, together with the slides, on our past events pages soon after the event has taken place.
Website and registration:
Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis
Related publications and presentations:
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis