Using Digital Tools for Visual Analysis

Key information

Start date: 25 November 2022

Attendance dates:

November 2022: 25

Time commitment: 3.5hrs 1:30pm–5pm

Venue:

Distance learning

Contact details:

Overview

This workshop discusses digital tools for analysing visual data. We begin by broadly 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

On successful completion of this course, you will be able to:

  • 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.

Course leader

Placeholder image for external profile

Christina Silver

Teaching Fellow

Additional information

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

£45

Education and charitable sector applicants

£55

Government and commercial sector applicants

Early bird fee is 20% off if booked before 1 September 2022

What these fees include

Handouts, slides, links to further resources.

How to apply

Applications will be through our online store.

Apply now

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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 more.