Title: Research%20process
1Research process
2Four key issues
- Setting goals
- Decide how to analyze data once collected
- Relationship with participants
- Clear and professional
- Informed consent when appropriate
- Triangulation
- Use more than one approach
- Pilot studies
- Small trial of main study
3Nature of Investigative Work
- Be clear what you are after
- People
- Context
- Activities
- Technology constraints
- Inspiration or information?
- Are you looking for inspiration to create
something new - Are you looking for information because you are
extending/improving an existing product or
service?
4Who to Watch?
- Relevance of scientific sampling?
- Purposeful sampling
- Possibles participants (Millen, 2000)
- Field guides
- Liminals
- Corporate informants
- Exceptional informants
5Ethics
- Treat your participants justly do as you would
be done by!
- Fully informed participation
- Informed consent
- Explain risks and benefits of the study
- Respect privacy
- Pay subjects for their time( can be or
something valuable) - If asked, provide data and research results to
subjects
6Ethics
- Scenario
- Youve been asked to study impact of mobile
e-mail system. Youll report to senior
management. - What are the ethical issues?
- How would you deal with them?
7Top Techniques for Understanding People
- Carry out field studies
- Find ways for participants to self-report
- Carry out follow-up interviews
- Use creatively engaging techniques
- Analyse and distill findings
8Data recording
- Notes, audio, video, photographs
- ----------------------------
- Notes plus photographs
- Audio plus photographs
- Video
9Equipment considerations
Criteria Notes Camera Audio camera Video
Equipment Pen, paper and camera easily available Inexpensive hand held recorder with good microphone More expensive, editing and analysis equipment needed
Flexibility of use Very flexible unobtrusive Flexible, relatively unobtrusive Needs positioning and focusing lens bulky
Completeness of data Only gets what note taker thinks is important and can record in time available inexperience problems Can obtain complete audio recording visual data missing. Notes sketches, photos can augment data Most complete method of data collecting especially if more than one camera used
Disturbance to users Very low Low but audio must be changed and microphone positioned Can be very obtrusive, Hawthorne effect
Data reliability Possibly low- relies on humans making a good record knowing what to record High but external noise can muffle voices Can be high depends on what camera focused on
Analysis Easy to transcribe rich descriptions produced data transcribing onerous Critical discussions can be identified. Transcriptions required for analysis. Original record can be revisited Critical incidents idd and tagged. Automated support needed for detailed analysis Permanent record