Using Digital Tools for Visual Analysis (Online)
Key information
- Start date:
- 01 November 2024
- Attendance dates:
01 November 2024
- Time commitment:
- 1pm - 5pm
- Venue:
- Distance learning
- Contact details:
- Carrie Lee
- Administrative Officer, Short Courses
- Email: daycourses@surrey.ac.uk
- Christina Silver PhD
- Associate Professor (Teaching)
- Email: c.silver@surrey.ac.uk
Overview
This workshop discusses digital tools for analysing visual data. We begin considering different methodological approaches to analysing visual data to place the use of digital tools in context. We then introduce the range of digital tools designed to facilitate the analysis of visual data – focusing on the genre of tools collectively referred to as Computer Assisted Qualitative Data AnalysiS (CAQDAS) packages but also discussing tools derived from other contexts.
To bring visual analysis to life we then focus on strategies and tactics for implementing an analysis, considering on common analytic activities and how they can be accomplished using software tools. This involves distinguishing between the needs of working with still and moving images, the manner and extent to which they may need to be integrated with other forms of data (including the generation of synchronised transcripts and combining materials from different sources), and options for working directly with visual materials. In doing so, we consider data management tools, analytic tools, and representational tools. The workshop showcases a selection of CAQDAS-packages including ATLAS.ti, Dedoose, MAXQDA, NVivo, QDA Miner and Transana.
Learning outcomes
- Understand broad methodological traditions in visual analysis
- Have an overview of the range of digital tools designed to facilitate visual analysis and their methodological underpinnings
- Understand the importance of analytic planning in harnessing digital tools for visual analysis
- Understand how digital tools can facilitate core analytic activities involved in undertaking visual analysis and how they differ with respect to working with still and moving images
- Understand the principles of making appropriate choices between digital tools for analytic purposes
- Know where to access relevant resources to support continued use of digital tools for qualitative text analysis
Course content
- Visual analysis methods
- Digital tools designed to facilitate visual analysis
- Planning a computer-assisted visual analysis
- Common analytic activities in visual analysis and how they are supported by digital tools
- Digital tools for managing visual materials
- Digital tools for analysing visual materials
- Digital tools for representing findings from visual analysis
Learning and teaching methods
- Presentations
- Demonstrations
- Discussions.
Assessment
None
Course leader
![Christina Silver profile image](/sites/default/files/styles/image_150x150_scale_and_crop/public/2023-08/christina-silver.png?itok=wfT6jD94)
Dr Christina Silver
Associate Professor (Teaching), Director of CAQDAS Networking Project
This workshop is delivered online using Zoom. In order to attend you will need a computer (Mac or Windows) that has access to the internet, and a microphone (inbuilt or external). We encourage participants to share their image using a webcam to foster dialogue and interaction, but this is not a requirement.
Entry requirements
No prior knowledge is necessary.
Fees and funding
Price per person:
£35
Students£38
Discounted rate for UGPN staff£45
Education and charitable sector applicants£55
Government and commercial sector applicantsWhat these fees include
Handouts, slides, links to further resources.
Funding opportunities
Participants applying for either UGPN discount will need to use their University email address to be eligible.
- North Carolina (NC) State University: @ncsu.edu
- University of Sāo Paulo (USP): @usp.br
- University of Wollongong: @uow.edu.au
- University of Surrey: @surrey.ac.uk
All staff and students at any of the above institutions are now eligible for the UGPN discount as part of UGPN.
Terms and conditions
When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our policies and regulations and our terms and conditions. You are also confirming you have read and understood the University's prospective student privacy notice.
Further details of our terms and conditions will follow.
Disclaimer
This online prospectus has been prepared and published in advance of the commencement of the course. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read the full disclaimer.
Course location and contact details
Campus location
Stag HillStag Hill is the University's main campus and where the majority of our courses are taught.
- Email: daycourses@surrey.ac.uk
University of Surrey
Guildford
Surrey GU2 7XH