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Slide 1
MANG6129
MANG7001 Research Methods 2011-12
Collecting qualitative data
Slide 2
MANG6129
You familiar with these terms??
• Population
• Sample
• Probability and Non-probability sampling
• Primary Data & Secondary Data
Slide 3
MANG6129
Qualitative data collection methods
• Observation
• Interviews & Focus Groups
• Diaries (Reflexive & Photographic)
• Life Histories
• Narrative / story telling
• Secondary qualitative data
• Multiple Methods
Slide 4
MANG6129
What will be your data collection
method ?
• Purpose of your research
• How much time you have
• Your personal characteristics
• Organisational access
• Ethical considerations
Slide 5
MANG6129
Who and how many?
Slide 6
MANG6129
Who and how many?
• Non-probability sampling
– Purposive sampling
– Snowball sampling
– Convenience sampling
– Quota sampling
Saunders et al (2009)
Slide 7
MANG6129
Observation
Slide 8
MANG6129
Observation
• Observational techniques are methods by which an
individual or individuals gather first hand data on
events, processes, or behaviours.
• Observer can use senses and technology to recoded
events , process or behaviours.
• Extended period of time
Slide 9
MANG6129
Observation
Can be
•Non-participatory
•Semi-participatory
•Participatory
Can be
Structured and unstructured
Can be
Covert and overt
Slide 10
MANG6129
Advantages of observation
• Explains ‘what is going on here?’
• Heightens researcher awareness
• Useful in researcher’s own organisation
• Experience emotions ‘for real’
• Lots of useful data
Slide 11
MANG6129
Disadvantages of observation
• ‘Observer effect’
• Very time consuming
• Ethical dilemmas
• Role conflict (researcher vs colleague)
• Observer bias (going native)
• Very demanding (physically and emotionally)
• Access issues
• Data recording difficulties
Slide 12
MANG6129
Interviews & Focus Groups
Slide 13
MANG6129
Interviews
• Definition
– A purposeful discussion between two or more people
• Use in research:
– Preliminary: helps to clarify issues when formulating
research proposals
– Data gathering: provides rigorous data for subsequent
analysis
– Validation: helps to explore whether research
conclusions are reasonable
Slide 14
MANG6129 Saunders et al (2006)
Forms of interview
Slide 15
MANG6129
Structured Interviews
• All questions (and most responses) are pre-determined
• Researcher is administering a questionnaire
• Approaches - Face-to-face, telephone, webcam
• Gathering structured data:
– Higher response rate than postal questionnaires
– Researcher has ability to clarify questions, not
possible with questionnaire
– No unexpected issues can be explored
Slide 16
MANG6129
Semi-structured Interviews
• Based on list of themes & issues
– Used to focus discussion
• No rigid list is adhered to
• Approach - Face-to-face
• List of themes may be advised to interviewee
• Usually more emergent, less pre-defined, data
• Flexibility to explore particular and/or unexpected issues
Slide 17
MANG6129
Unstructured Interviews
• Based on ideas of issues, but no list of questions or
themes
• Mostly face-to-face
• Non-directive: researcher follows issues and themes as
they emerge
• In-depth: research may concentrate on key emergent
issues without feeling need to cover pre-determined list
of questions/themes
Slide 18
MANG6129
Focus Groups
• Also called “Group Interview”
• Unstructured & Free flowing
• Research = Facilitator
– Raise questions, let the group discuss
• Multiple views
• Group evaluation
• Identify key themes
• Potential problem of ‘group think’
Slide 19
MANG6129
Types of questions…
•Closed vs. open
– Where do you live?
– What time is it?
– Are you happy with your current supplier?
– Would you like to find a better supplier?
http://changingminds.org/techniques/questioning/open_closed_questions.htm
Slide 20
MANG6129
Types of questions…
• Who, why, where, when, how and what
• Closed vs. open
– What did you do on you holidays?
– How do you keep focused on your work?
– Why is that so important to you?
– How have you been after your operation?
http://changingminds.org/techniques/questioning/open_closed_questions.htm
Slide 21
MANG6129
Types of questions…
To Do
•Probing… ‘can you tell me more about that?’
•Active listening… ‘so what you’re saying is…’
Avoid
•Loaded/biased
•Double barrelled
Saunders et al (2009)
Slide 22
MANG6129
Practical Issues
• Location
• Recording data
– Tape/video recording
• Gives accurate account
• Can concentrate on questioning & listening;
• BUT… intrusive?
– Note taking
• Difficulty of writing, listening, and questioning
• Taking notes after the interview may be dangerous, as relying
on “accurate” memory
• Transcription
• Feeding back results
Slide 25
MANG6129
How should you dress for data
collection?…
1. Casual
2. Smart
Slide 26
MANG6129
Some other tips for interviews
• Do a pilot study or interview a ‘critical friend’
• Allow plenty of travel time
• Take the respondent’s contact details with you
• Remember notes, pens, tape recorder, spare batteries, etc,
etc.
• Remember… the interview doesn’t finish until you leave the
premises
• Agree post-interview actions
Slide 27
MANG6129
Reflexive diaries
• Daily record of actions, events, thoughts
• Quantitative (logs) or qualitative (diaries)
• Alternative to direct observation
• Issues of bias, motivation, misreporting
• Use as a basis for subsequent in-depth interviews
Hussey & Hussey (1997, pp.153-155)
Slide 28
MANG6129
Photo/video diaries
Photos: Emma Lynch via http://news.bbc.co.uk/1/shared/spl/hi/picture_gallery/07/americas_harvest_in_caracas/html/1.stm.
Photo journal: Harvest in Caracas
Changing the way Venezuelan city dwellers
think about food through the creation of organic
urban gardens to promote self-sufficiency
Slide 29
MANG6129
Slide 30
MANG6129
Life Histories
• Unstructured interviews combined with
personal documents (diaries, letters, photos)
• Look back in detail over an entire life course
• Try to make sense of their organisational
reality
Bryman and Bell (2003)
Slide 31
MANG6129
Narrative in Research
• Originates in linguistics
• Used as research method & tool in
various disciplines including:
– Information Systems, Accounting,
Economics, Organisational Behaviour
• At the extreme end of qualitative research
Slide 32
MANG6129
Aims of Narrative Research
• Gain insight into participant’s experience of an event and how they
make sense of it (Organisational Sensemaking – Weick, 1995)
– Imposes order on experiences, events, actions, and the relationship
between them
• Gather different perspectives about the same event
• Understanding interdependency between numerous social factors
and the change that underpins the complexity
• Telling and analysis of stories
• Good for uncovering deep understanding of politics or culture
• Very subjective, requires understanding of context
Slide 33
MANG6129
Online Narrative Resources…
• The Center for Narrative Studies
– http://www.storywise.com/
• Organizational Storytelling
– http://www.organizational-storytelling.org.uk/
Slide 34
MANG6129
Secondary qualitative data
• Data has already been collected
– Large surveys
– Commercial databases
– Qualidata, UK Data Archive, Economic and Social
Data Service (www.qualidata.ac.uk)
– http://www.esds.ac.uk/search/allSearch.asp?
ct=xmlAll&q1=&Submit1=GO&zoom_cat=-
1&zoom_and=1
– http://www.soton.ac.uk/library/catalogues/index.shtmlSee Saunders et al (2009) Chapter 8, esp. pp.267-268.
Slide 35
MANG6129
Other secondary sources
• Personal documents, letters, e-mails
• Historical diaries
• Autobiographies
• In-house publications
• Legal records
• Minutes of meetings
• Blogs / Social networking / Twitter... ???
Slide 36
MANG6129
Secondary qualitative data
• Advantages
– Fewer resource requirements
– Allows for comparison over time &
geographical locations
– Less effort/cost than primary data
Slide 37
MANG6129
Secondary qualitative data
• Disadvantages
– Purpose of original collection may not match research objective –
context specific
– Access to this data may be restricted
– Type of data may not match research purpose exactly
– Quality of data (check for authenticity and credibility)
Slide 38
MANG6129
Other considerations
•
• Cross-sectional vs longitudinal studies
mono method
(single data collection
and analysis procedure)
multiple methods
(more than one data collection
and analysis procedure)
Vs.
Saunders et al (2009, pp.151-156)
Slide 39
MANG6129
Remember!
Any one data collection methods not inherently
better than any other method.
Slide 40
MANG6129

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Collecting qual data

  • 1. Slide 1 MANG6129 MANG7001 Research Methods 2011-12 Collecting qualitative data
  • 2. Slide 2 MANG6129 You familiar with these terms?? • Population • Sample • Probability and Non-probability sampling • Primary Data & Secondary Data
  • 3. Slide 3 MANG6129 Qualitative data collection methods • Observation • Interviews & Focus Groups • Diaries (Reflexive & Photographic) • Life Histories • Narrative / story telling • Secondary qualitative data • Multiple Methods
  • 4. Slide 4 MANG6129 What will be your data collection method ? • Purpose of your research • How much time you have • Your personal characteristics • Organisational access • Ethical considerations
  • 6. Slide 6 MANG6129 Who and how many? • Non-probability sampling – Purposive sampling – Snowball sampling – Convenience sampling – Quota sampling Saunders et al (2009)
  • 8. Slide 8 MANG6129 Observation • Observational techniques are methods by which an individual or individuals gather first hand data on events, processes, or behaviours. • Observer can use senses and technology to recoded events , process or behaviours. • Extended period of time
  • 10. Slide 10 MANG6129 Advantages of observation • Explains ‘what is going on here?’ • Heightens researcher awareness • Useful in researcher’s own organisation • Experience emotions ‘for real’ • Lots of useful data
  • 11. Slide 11 MANG6129 Disadvantages of observation • ‘Observer effect’ • Very time consuming • Ethical dilemmas • Role conflict (researcher vs colleague) • Observer bias (going native) • Very demanding (physically and emotionally) • Access issues • Data recording difficulties
  • 13. Slide 13 MANG6129 Interviews • Definition – A purposeful discussion between two or more people • Use in research: – Preliminary: helps to clarify issues when formulating research proposals – Data gathering: provides rigorous data for subsequent analysis – Validation: helps to explore whether research conclusions are reasonable
  • 14. Slide 14 MANG6129 Saunders et al (2006) Forms of interview
  • 15. Slide 15 MANG6129 Structured Interviews • All questions (and most responses) are pre-determined • Researcher is administering a questionnaire • Approaches - Face-to-face, telephone, webcam • Gathering structured data: – Higher response rate than postal questionnaires – Researcher has ability to clarify questions, not possible with questionnaire – No unexpected issues can be explored
  • 16. Slide 16 MANG6129 Semi-structured Interviews • Based on list of themes & issues – Used to focus discussion • No rigid list is adhered to • Approach - Face-to-face • List of themes may be advised to interviewee • Usually more emergent, less pre-defined, data • Flexibility to explore particular and/or unexpected issues
  • 17. Slide 17 MANG6129 Unstructured Interviews • Based on ideas of issues, but no list of questions or themes • Mostly face-to-face • Non-directive: researcher follows issues and themes as they emerge • In-depth: research may concentrate on key emergent issues without feeling need to cover pre-determined list of questions/themes
  • 18. Slide 18 MANG6129 Focus Groups • Also called “Group Interview” • Unstructured & Free flowing • Research = Facilitator – Raise questions, let the group discuss • Multiple views • Group evaluation • Identify key themes • Potential problem of ‘group think’
  • 19. Slide 19 MANG6129 Types of questions… •Closed vs. open – Where do you live? – What time is it? – Are you happy with your current supplier? – Would you like to find a better supplier? http://changingminds.org/techniques/questioning/open_closed_questions.htm
  • 20. Slide 20 MANG6129 Types of questions… • Who, why, where, when, how and what • Closed vs. open – What did you do on you holidays? – How do you keep focused on your work? – Why is that so important to you? – How have you been after your operation? http://changingminds.org/techniques/questioning/open_closed_questions.htm
  • 21. Slide 21 MANG6129 Types of questions… To Do •Probing… ‘can you tell me more about that?’ •Active listening… ‘so what you’re saying is…’ Avoid •Loaded/biased •Double barrelled Saunders et al (2009)
  • 22. Slide 22 MANG6129 Practical Issues • Location • Recording data – Tape/video recording • Gives accurate account • Can concentrate on questioning & listening; • BUT… intrusive? – Note taking • Difficulty of writing, listening, and questioning • Taking notes after the interview may be dangerous, as relying on “accurate” memory • Transcription • Feeding back results
  • 23. Slide 25 MANG6129 How should you dress for data collection?… 1. Casual 2. Smart
  • 24. Slide 26 MANG6129 Some other tips for interviews • Do a pilot study or interview a ‘critical friend’ • Allow plenty of travel time • Take the respondent’s contact details with you • Remember notes, pens, tape recorder, spare batteries, etc, etc. • Remember… the interview doesn’t finish until you leave the premises • Agree post-interview actions
  • 25. Slide 27 MANG6129 Reflexive diaries • Daily record of actions, events, thoughts • Quantitative (logs) or qualitative (diaries) • Alternative to direct observation • Issues of bias, motivation, misreporting • Use as a basis for subsequent in-depth interviews Hussey & Hussey (1997, pp.153-155)
  • 26. Slide 28 MANG6129 Photo/video diaries Photos: Emma Lynch via http://news.bbc.co.uk/1/shared/spl/hi/picture_gallery/07/americas_harvest_in_caracas/html/1.stm. Photo journal: Harvest in Caracas Changing the way Venezuelan city dwellers think about food through the creation of organic urban gardens to promote self-sufficiency
  • 28. Slide 30 MANG6129 Life Histories • Unstructured interviews combined with personal documents (diaries, letters, photos) • Look back in detail over an entire life course • Try to make sense of their organisational reality Bryman and Bell (2003)
  • 29. Slide 31 MANG6129 Narrative in Research • Originates in linguistics • Used as research method & tool in various disciplines including: – Information Systems, Accounting, Economics, Organisational Behaviour • At the extreme end of qualitative research
  • 30. Slide 32 MANG6129 Aims of Narrative Research • Gain insight into participant’s experience of an event and how they make sense of it (Organisational Sensemaking – Weick, 1995) – Imposes order on experiences, events, actions, and the relationship between them • Gather different perspectives about the same event • Understanding interdependency between numerous social factors and the change that underpins the complexity • Telling and analysis of stories • Good for uncovering deep understanding of politics or culture • Very subjective, requires understanding of context
  • 31. Slide 33 MANG6129 Online Narrative Resources… • The Center for Narrative Studies – http://www.storywise.com/ • Organizational Storytelling – http://www.organizational-storytelling.org.uk/
  • 32. Slide 34 MANG6129 Secondary qualitative data • Data has already been collected – Large surveys – Commercial databases – Qualidata, UK Data Archive, Economic and Social Data Service (www.qualidata.ac.uk) – http://www.esds.ac.uk/search/allSearch.asp? ct=xmlAll&q1=&Submit1=GO&zoom_cat=- 1&zoom_and=1 – http://www.soton.ac.uk/library/catalogues/index.shtmlSee Saunders et al (2009) Chapter 8, esp. pp.267-268.
  • 33. Slide 35 MANG6129 Other secondary sources • Personal documents, letters, e-mails • Historical diaries • Autobiographies • In-house publications • Legal records • Minutes of meetings • Blogs / Social networking / Twitter... ???
  • 34. Slide 36 MANG6129 Secondary qualitative data • Advantages – Fewer resource requirements – Allows for comparison over time & geographical locations – Less effort/cost than primary data
  • 35. Slide 37 MANG6129 Secondary qualitative data • Disadvantages – Purpose of original collection may not match research objective – context specific – Access to this data may be restricted – Type of data may not match research purpose exactly – Quality of data (check for authenticity and credibility)
  • 36. Slide 38 MANG6129 Other considerations • • Cross-sectional vs longitudinal studies mono method (single data collection and analysis procedure) multiple methods (more than one data collection and analysis procedure) Vs. Saunders et al (2009, pp.151-156)
  • 37. Slide 39 MANG6129 Remember! Any one data collection methods not inherently better than any other method.