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Nina Reeves, Module Tutor. 2. Overview. By the end of this session you should be able to:Understand the possible problems with collecting qualitative dataBe confident about analysing qualitative dataUnderstand how to summarise your findings in the CIF report format. Nina Reeves, Module Tutor. 3.
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1. Nina Reeves, Module Tutor 1 MU220 User Interaction Studies Reporting evaluations: analysing qualitative data results
2. Nina Reeves, Module Tutor 2 Overview By the end of this session you should be able to:
Understand the possible problems with collecting qualitative data
Be confident about analysing qualitative data
Understand how to summarise your findings in the CIF report format
3. Nina Reeves, Module Tutor 3 Facilities for qualitative studies In-house or hire
http://www.wyoming.co.uk/ (new Flash version with videos)
Dedicated facilities for market research or UI usability studies
4. Nina Reeves, Module Tutor 4 Problem of Qualitative data studies Desire to provide
Comprehensive coverage
Fair coverage
Impossibility of escaping author’s
Assumptions
Preferences
Prejudices
Eg: evaluate Google Streetview
What are your assumptions/preferences/prejudices?
What are mine?
5. Nina Reeves, Module Tutor 5 Research ethics Essential to have a Participant Consent Form
Must guarantee
Anonymity
Confidentiality
Security of research data
Right to withdraw
Some researchers recognise the potential effect of power relationships
White coat syndrome
Prefer collaborative model where the participant gains some benefit from the process, is given the results
6. Nina Reeves, Module Tutor 6 Managing qualitative data When interviews/focus groups/videoed interactions are transcribed, you may feel that you are drowning in information
You MUST
Physically organise the data
Immerse yourself in it so that you really KNOW it
Sense making – identify emergent themes – with associated evidence
Present the analysis to others (CIF report 4.2.2)
Organising data
Office desk eg.
PC desktop?
7. Nina Reeves, Module Tutor 7 Steps to follow with Qualitative data 1. Organising
2. Immersing
3. Sensemaking
4. Reporting
8. Nina Reeves, Module Tutor 8 1. Organising How do you organise your Office desk?
How about your PC desktop?
Conclusion – no absolute RIGHT way to organise as it depends on what you want to do with it.
Suggest
Use one document format – Word doc tables
to enable transfer to xls if necessary
Allows coding and commenting
9. Nina Reeves, Module Tutor 9 2. Immersing Look at transcribing as a means of helping you to immerse yourself in the data
Particularly if gathered by different people
10. Nina Reeves, Module Tutor 10 3. Sense making Coding the data
If it was a questionnaire then simple numbers see SUS Lickert scales
Interview transcript is more problematic
Need to read the text and see if there are “Emergent themes”
Design of a Audio/video on-demand web site (See MusicChoiceObsHidden.doc)
Open coding first
Use highlighter pen and post-it notes or
see Word’s Insert > Comment (online version)
Focused coding
Create a Word doc with the Themes
Copy/paste comments from interviews/focus gp/observations to support each theme
Remember to put a ref (001, p.4) Participant 001, p.4 of the transcript
Could use Inspiration mind mapping s/w
Procedural coding – how did you do the coding
11. Nina Reeves, Module Tutor 11 So that’s all? Not quite! Asking questions of the data and your analysis
About events – What happened? Who was involved? Begin/end?
About chronology – What happened first? Next?
About the setting – Any influences?
About people – who did they ask for help?
About processes – What did the users intend to do?
About issues – What was important to the users? What language do they use? Any physical effects? Stress indicators?
Eg: “I didn’t realize where all the possible components were”; “I’ve never done this before so it was guesswork”; “I needed to be able to “look it up”. Why would you do this by guesswork?”; “I was made to feel stupid”; if you put things in the wrong order then you can’t take backtrack”; “This was f-----ing frustrating!”
Developing the analysis
Look for contradictory cases to achieve balance
Triangulation – from different types of data and from different people looking at the data
12. Nina Reeves, Module Tutor 12 4. Reporting qualitative data analysis CIF – Common Industry Format (wk 3)
CIFHowto.doc available from Resources on MU220 website
What do you feel about writing?
Possible responses:
Panic
*#**#?!
S’pose I’ll just get on with it
Leave it till the deadline – I can’t write anyway
Great – time to express my ideas
Do NOT leave this as even this short task will need review and editing
Write a paragraph saying what the emergent themes are
Write a paragraph on each giving the evidence
Top ‘n tail each paragraph with the context
Conclude with a para saying which theme is most important or has led to one of the recommendations in the Exec summary
13. Nina Reeves, Module Tutor 13 Practical session MusicChoiceObsFull.doc p. 1 analysis
On your own: in col 2 analyse what the participant is doing and why
In 2s: compare analyses
Collect full version (from Tutor)
Identify emergent themes
Write up the appropriate paras (20 mins)
Collect final version (from Tutor)
Find an audio/video on demand site and see if it satisfies the recommendations made from this data
Assignment 1
Gather the data
Ensure you have all the info about the environment in the labs
14. Nina Reeves, Module Tutor 14 Any Questions?