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Something old, something new: an examination of the challenges and affordances of using TRANSANA (2.42) in the analysis of AG- recorded video data Dr Sarah L. Bulloch QUIC Conference 2011 University of Surrey 4 th May 2011


  1. “Something old, something new”: an examination of the challenges and affordances of using TRANSANA (2.42) in the analysis of AG- recorded video data Dr Sarah L. Bulloch QUIC Conference 2011 – University of Surrey 4 th May 2011 s.bulloch@surrey.ac.uk

  2. Outline of presentation • Overview of aims and exemplar project • What is Access Grid? • Outline of research questions • Data preparation and analytical approach • Extracts of analyses • Affordances and challenges

  3. Aim QUIC aim: to further explore technological and methodological developments in qualitative software - audiovisual data - geographical data - integration of quantitative and qualitative data Paper aim: to examine how Transana allows us to answer particular research questions in relation to audiovisual data collected in an exemplar project

  4. Overview of exemplar project • AG technology and field research. • Pioneered by N. Fielding and M. Macintyre, 'Access Grid Nodes in Field Research' , Sociological Research Online, 11(2), 2006. Shortlisted for the Sage Prize for Innovation and Excellence 2007. • Communication: verbal & non-verbal. • Exemplar data: business meeting, 2 AG nodes, AG- captured data AND additional video footage. • Analysis: annotating and coding sections of the video using Transana

  5. What is Access Grid? • Real-time networked video teleconferencing application • Multiple cameras, projectors, microphones • Multiple ‘nodes’ can be linked • Desktops projected to multiple sites

  6. How does Transana help to answer the following research questions? • Does the AG setting affect exchange between participants? If so, in what ways? • To what extent do the technical aspects (audio & visual setup) of the AG feature within the meeting? • Nuancing the notion of co-presence, does the physical grouping of individuals affect their communication? If so, how? • What are the implications of using AG-captured data for secondary analysis?

  7. Data Preparation & analytical approach • 01:50:46 of AG captured video – captures the meeting from 9 angles (audiovisual data) • Standalone cameras. • Step 1: verbatim transcription of meeting. • Step 2: editing and preparation of video data. • Step 3: importing data into Transana • Step 4: deductive code creation • Step 5: familiarisation with data, annotation & inductive code creation (‘adaptive theory’ Layder, 1998) • Step 6: interrogating the data for answers to the research questions

  8. Multi-stream video: AG and standalone cameras

  9. Does the AG setting affect exchange between participants? If so, in what ways? • Multiple transcripts allow for textual representations of verbal and non-verbal exchange. e.g action transcript (movement, posture, gaze) • Flexibility in clip production in relation to what constitutes ‘an exchange’ e.g. Segments of a few minutes, speaker turns, segments of a few seconds. This project: speaker turns. • Coding for non-verbal content of audio-visual data - highlights silence, interruptions etc • Visual representation of speaker turns over time.

  10. Coding for nature of transition of exchanges: interruptions

  11. Episode report – filtered by keyword (interruptions)

  12. Reviewing coded clip

  13. Key Word Report of exchanges: by Node, meeting section and verbal interruptions AG Node 1 AG Node 2 Verbal interruptions Meeting section: Intro Meeting section: Middle Meeting section: Start

  14. To what extent do the technical aspects of the AG technology feature within the meeting? • Multiple visuals & multiple audios • Coding of references to audio and visual set-up, – verbal and non-verbal references (Pointing at screens, searching around for appropriate screen to look at, adjusting volume of voice)

  15. Coding for references to audio and visual aspect to the meeting

  16. Episode report – filtered by keywords (References to technical aspects of the meeting)

  17. Search for clips with non-verbal reference to visual set up

  18. What are the implications of using AG- captured data for secondary analysis? • Assessing data quality: Multi-stream functionality = comparison of AG data vs non-AG data representations. • Coding of data quality issues. • Use of annotations

  19. In-project annotations of reflections on Data Quality

  20. Affordances and Challenges Affordances • Integration of multiple (synchronous) audiovisual data & textual data • Integration of annotations on project development • Getting at the unspoken aspects of communication Challenges • Project planning & limited flexibility • Trade off: multi-stream vs. image quality • Trade off: details vs. time • Need for textual transcript

  21. Resources • QUIC website http://www.surrey.ac.uk/sociology/researc h/researchcentres/caqdas/quic/ • Work in progress: dissemination of the results of this analysis within wider AG work.

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