Outline of presentation Overview of aims and exemplar project What - - PowerPoint PPT Presentation

“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 4th May 2011

s.bulloch@surrey.ac.uk

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

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

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

What is Access Grid?

• Real-time networked

video teleconferencing application

• Multiple cameras,

projectors, microphones

• Multiple ‘nodes’ can be

linked

• Desktops projected to

multiple sites

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?

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

Multi-stream video: AG and standalone cameras

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.

Coding for nature

• f transition of

exchanges: interruptions

Episode report – filtered by keyword (interruptions)

Reviewing coded clip

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

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)

Coding for references to audio and visual aspect to the meeting

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

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

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

In-project annotations of reflections on Data Quality

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

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.