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FCUK Marketing Research:

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When ice freezes, all the excrement rises to the surface. ... Organising data so you know what data you have and where these are located ... – PowerPoint PPT presentation

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Title: FCUK Marketing Research:


1
FCUK Marketing Research
  • Qualitative II

2
French Connection United Kingdom
  • Acronym 1997
  • Billboard campaign
  • Censured by A.S.A.
  • Profits double
  • Cutting-edge of cool

3
Flying FCUK
4
FCUK Strategy
  • FCUK fashion
  • FCUK advertising
  • FCUK Santa, lets shop
  • The biggest FCUK in the world

5
Famous FCUKs
  • Best of British at VA
  • Conservative Futures, UK
  • Labour Party Animal
  • French and Saunders

6
Where Will it FCUKing End?
  • Opium
  • Benetton
  • Spin
  • Kadu

7
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11
What the FCUK?
  • Carnal
  • Corporeal
  • Creedal
  • Cultural

12
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16
Why the FCUK?
  • Micro-scale factors
  • Macro-scale factors

17
Micro-Scale Factors
  • Effective
  • Efficient
  • Economical
  • Emulation

18
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19
Macro-Scale Factors
  • Social
  • Demographic
  • Developmental
  • Siecle Effect

20
Now, thats what I call a pie filling!
21
The Illusion of the End
  • When ice freezes, all the excrement rises to the
    surface. And so, when the dialectic was frozen,
    all the sacred excrement of the dialectic came to
    the surface. When the future is deep-frozen
    and, indeed, even the present we shall see all
    the excrement come up from the past. The problem
    them becomes one of waste. It is not just
    material substances, including nuclear ones,
    which pose a waste problem but also the defunct
    ideologies, bygone utopias, dead concepts and
    fossilized ideas which continue to pollute our
    mental space. Historical and intellectual refuse
    pose an even more serious problem than industrial
    waste. Who will rid us of the sedimentation of
    centuries of stupidity? As for history that
    living lump of waste, that dying monster which,
    like the corpse in Ionesco, continues to swell
    after it has died how are we to be rid of it?
  • (Baudrillard 1994, p.26)

22
Approaching Qualitative
  • Comprehend and manage it
  • Merge related data drawn from different
    transcripts and notes
  • Identify key themes or patterns from it for
    further exploration
  • Develop and/or test hypotheses based on these
    apparent patterns or relationships
  • Draw and verify conclusions

23
When to Start Analysis
  • When the research question is decided
  • During the first interview
  • When data from the first interview become
    available
  • Do not leave until all data collected

24
Main Activities
  • Categorisation
  • Unitising data
  • Recognising relationships and developing the
    categories you are using to facilitate this
  • Developing and testing propositions / hypotheses
    to reach conclusions

25
Categoristion/Coding
  • Classifying your data into meaningful categories
  • Organising data so you know what data you have
    and where these are located
  • Provide a well-structured, analytical framework
    to pursue you analysis
  • Types of codes
  • pre-existing (from literature/interview topics
    etc.)
  • inductive (from data collected)

26
Unitising Data
  • Attaching relevant chunks of data to appropriate
    category
  • May be words, sentences, paragraphs etc.
  • Computer analysis
  • Cut paste
  • Data Cards
  • May use matrices, charts, graphs networks to
    arrange display

27
Coding - Getting started
  • Start with a single interview and segment it
  • Ask what does this segment refer to
  • Attach code to segment (in margin)
  • List codes
  • Repeat for another interview(s)
  • Compare and refine lists of codes
  • Apply refined list to other interviews

28
Coding the Main Body of Data
  • Interview by interview approach
  • apply list of codes to each interview in turn
  • more likely to identify process elements in data
  • Topic or theme approach
  • gather together all data on the same theme or
    topic
  • more likely to result in fine grained coding

29
Coding is Theoretical
  • Coding in ways that help answer the research
    question
  • Heuristic devices to help you discover things
    about data
  • Involves decisions about what count as data eg.
    pauses

30
Recognising relationships
  • Searching for key themes patterns or
    relationships in the data
  • Use of matrices etc
  • May alter categories - subdivide, merge, delete
    or create new ones
  • Should maintain an up-to-date definition of each
    category

31
Developing and Testing propositions/hypotheses
  • A hypotheses is a testable proposition
    (Silverman, 1993)
  • The appearance of an apparent relationship
    between categories will need to be tested if you
    are able to conclude there is a relationship
  • Data collection, data analysis and the
    development verification of relationships are
    interrelated and interactive
  • An iterative process
  • A grounded theory approach (Glaser and Strauss,
    1967 Strauss and Corbin, 1990)

32
Grounded Theory
  • Open Coding
  • first stage
  • Axial Coding
  • looking for relationships
  • Selective Coding
  • identifying core categories

33
Analytical Aids
  • Summaries
  • of interviews, observations and documents
  • Self-memos
  • ideas that occur to you about any aspect of the
    research
  • A researchers diary
  • maintains a chronological format
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