Trend spotting: a practical training-day to help you make sense of large information sources
Date: 23rd February 2017
Time: 10:30am – 4pm
Have you been tasked with producing an engaging report showing key messages of responses to a large consultation? Do you have to pull together management briefings from large quantities of information? Are you unsure where to start and how to synthesise key messages? Or, what to do with the data on completion of reporting and how to ensure you adhere to organisational sensitivities and data protection policies? Then, this training session is for you!
This one-day workshop will provide the practical skills for carrying out business enhancement and thematic analysis at your institution. It will look at how you collect sources of information and begin analysis of language-based data (qualitative data) from surveys and consultation responses to collection of reports and case-studies.
This interactive-day designed and delivered by QAA’s experienced data and analysis team will include presentations, group discussions and practical sessions. It will provide you with a toolkit of approaches to qualitative analysis and pattern spotting, ideas for software tools to use and tips on how to produce engaging outputs with your findings.
Who should attend?
The workshop is relevant to anyone wanting to gain and understanding of, or get better at, analysing qualitative data, such as surveys and other unstructured data within a higher education setting.
The day's agenda will include presentations and practical sessions on the following areas:
- Introduction to qualitative data and thematic analysis
- Bringing together language-based data sources
- Carrying out data analysis - looking for themes and trends
- Creating engaging outputs - reports, presentations and documents
Attendees will receive a copy of all training resources (both digitally and in the form of a printed booklet). The delegate fee is £300. To register for this event, please visit our registration site.
Data analyst, Evaluation and Analytics Team
Direct line | +44 1452 55 7051
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