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Critical Thinking About
Contradictions Using
Qualitative Data (Part One)
By Wendy Olsen
2014
Methods@Manchester Workshop
Aiming at PhD Students and Researchers
Who Want to Disseminate Arguments
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AIM 1) To introduce โ€˜critical thinkingโ€™ to your academic writing.
Class Exercise 1:
We look at your own samples of data, and at one of mine.
AIM 2) Set up (hand) coding on a simple transcript.
AIM 3) A simple NVIVO lecture.
WE WILL BE IN WILLIAMSON ROOM 3.59 COMPUTER CLUSTER 11-3
AIM 4) (rejoin in Room HBS 1.69) and do Exercise 2.
Integrate our analysis of the sample transcript (or your own data
sample, if you bring one) with what we learned about complex social-
science argumentation.
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Critical Thinking
โ€ข Parse the logic of a sample piece of
writing.
โ€ข The steps should be related, and
coherent.
โ€ข The conclusion should rest on the
argument.
โ€ข Complex arguments use data as
evidence.
โ€ข P= Premises
โ€ข C = Conclusions
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4
An Argument โ€ฆ
โ€ข Is an extended set of sentences about
one thing.
โ€ข Has a coherent relationship among the
sentences.
โ€ข Is coherent as a whole.
โ€ข Leads toward its own conclusion.
โ€ข I have stipulated this definition.
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5
Warranted Arguments
โ€ข In a warranted argument,
โ€“ Conclusions are not just beliefs,
โ€“ Premises are consistent and coherent,
โ€“ Reasoning is sound,
โ€“ Verbs used are relevant and appropriate,
โ€“ Logic is used (various types), and
โ€“ The conclusion would be false if any of the
Pโ€™s or Rโ€™s are false. Use Triangulation!!
โ€“ * on the previous slide, โ€˜better impactโ€™ rested upon
unspecified Premises and Reasoning about โ€˜impactโ€™
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6
Exercise 1.
โ€“In Pairs: Share textual samples.
โ€ข Write down two first-stage โ€˜codesโ€™ which
are theme names, so that the material in
this sample could be RETRIEVED.
โ€ข Write down two second-stage โ€˜codesโ€™
which are analytical, ie. Perhaps they
relate to theory, such as gender roles,
agency, structures of family, power, or
other.
โ€ข The theme is going to develop into an argument. You
are not merely descriptive in summarising your findings.
Induction. This is called the second-stage coding.
โ€ข See my example coding on ethnicity.
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See also:
โ€“ Bazeley, books and online materials on
NVIVO.
โ€“ Elliot, J (2005) Using Narrative in Social
Research, London, Sage.
โ€“ Flick, U/Banks, M (2007) Using Visual Data in
Qualitative Research, London, Sage.
โ€“ Gibbs, G (2007) Various books on using
NVIVO.
โ€“ Lewins, A and Silver, C (2007) Using Software
in Qualitative Research, London, Sage.
7
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Conclusion of Exercise 1
โ€ข Step 1 : simple, descriptive codes.
โ€ข Step 2 : analytical codes, axial codes.
โ€ข These invoke theory.
โ€ข Step 3 : develop an argument and test
it out, work on it. Code moreโ€ฆ
โ€“ What are the peopleโ€™s lay arguments? (See Sayer)
โ€“ What is your expert argument, over-arching?
8
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Conclusion of Exercise 1
โ€ข Step 4: what are the contradictions?
โ€ข You might expect 3 types.
โ€“ Resistance to authority / norms / doxa.
โ€“ Agreeing with and yet also disagreeing
with a norm.
โ€“ A text contradicting itself, in the sense of its
intended meanings changing over time.
9
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10
Lecture 1 continued
โ€ข Better and worse ARGUMENTS.
โ€“ An argument is a theme, and it has to have a
counter-theme (the โ€˜antithesisโ€™).
โ€ข Good arguments might have:
โ€“ Better ethics than worse arguments, OR
โ€“ More consistent premises, OR
โ€“ Consideration of data that might falsify a claim,
OR
โ€“ Coverage of things that are very well known to the
writer.
โ€“ See Bowell and Kemp, Critical Thinking, London:
Routledge, 3rd
ed., 2010. pg 96.
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11
Parsing Arguments
โ€ข To parse means to break up into small
chunks.
TO PARSE . MEANS . TO BREAK . UP .
INTO . SMALL . CHUNKS.
Verb definition synonym-verb object
โ€ข Break up arguments into P, R, D, E, Cโ€™s
โ€“ Fisher, A. (1988). The Logic of Real Arguments.
Cambridge, NY and Sydney, Cambridge Univ. Press.
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12
Warranted Arguments About
Contradictions
โ€“ Reasoning is sound, and it links together
elements into a complex chain of
reasoning.
โ€“ Example:
โ€ข Resistance to authority / norms / doxa.
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More applicationsโ€ฆ
โ€ข Agreeing with and yet also disagreeing
with a norm.
โ€ข A text contradicting itself, in the sense
of its intended meanings changing over
time.
โ€“ Please work on such things in the NVIVO practical.
13
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14
Data in Warranted Arguments
โ€ข Premises
โ€ข Data โ€ฆ which verifies findings . . .
โ€“ After the findings are rewritten back into the data
sections! But you did not know in advance what
you would find. Discoveries. Retroduction.
โ€ข Reasoning . . . Which uses data! Depends on
it! Needs it! Develops / analyses it!
โ€ข Conclusion(s) (Danermark et al 2001)
โ€ข Beware of verificationism. Hence use hypotheses.
โ€ข Or use claims e.g. โ€˜it is claimed that X ๏ƒจ Yโ€™
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15
The Duhem-Quine Paradox
โ€ข Willard Van Orman Quine (June 25, 1908 โ€“
December 25, 2000)
โ€“ Edgar Pierce Chair of Philosophy at Harvard,
1956โ€“78
โ€ข Two Dogmas of Empiricism (1951)
โ€ข Argues that much of science does tend to
verify itself, and that we cannot describe ALL
of the world, only a TINY part of it.
โ€ข As a result, descriptions often contradict each
other.
๏€ข๏ƒ  fallibilism. Epistemological fallibilism.
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The Implications of Quine for
our Study of Contradictions
โ€ข We have to holistically develop a
theoretical framework that
encompasses the material we have.
โ€ข We can get more material after we do
retroduction.
โ€ข That means asking why these data showed up
a contradictionโ€ฆ ask again? Get
texts/symbols? Look at visual evidence?
โ€ข Use your own cultural resources. Cite sources.
โ€ข Then build the complex argument. 16
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Help From Bowell & Kemp
โ€ข A complex argument can be built up in
stages.
โ€ข Each stage has Premises, Reasoning,
Data and Conclusion.
โ€ข The Conclusion of one is a premise of
another. (OR, using Fisher, a
supposition)
17
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How Bowell & Kemp and
Fisher Illustrate Arguments
18
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How We Will Summarise Ours
19
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How We Will Summarise Ours
20
Suppose P1 a
taboo on
marrying a UK
born person
Evidence is
that some
marry UK born
people and
some donโ€™t
F
a
l
s
i
f
i
e
s
Respondent says
she marries
someone of
whom family will
approve
Weakness of
a single case
as evidence
After
falsifying
-- Then
what?
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How We Will Analyse Mixed
Data Types
21
Activity of Retroduction
What would explain what we have observed, in all its variety?
Gather more evidence, e.g. create a Census table of Country of Birth of
person and of their marriage partner using the couples in the UK Census. (!
EASY! USES CENSUS MICRODATA โ€“ UK BEST SOURCE COMPARED
WITH OTHER COUNTRIES) What does this Table mean? What does it
imply about the UK world?
Combine this with close study of what must be true for some to conform,
and others to not conform, with the norm
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How We Will Summarise Ours
22
Suppose P1:
a contested
taboo on
marrying a UK
born person
Evidence is
that some
marry UK born
people and
some donโ€™t
R
e
v
i
s
e
d
Some
respondents say
they marry
someone of
whom family will
approve
Some
respondents say
they make a
personal choice
and/or fall in love.
Evidence on
marital patterns
is mixed by
ethnicity and by
religion and
COB
These
women
have to
navigate
roles as
active
agents
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There are many situationsโ€ฆ
23
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Help From Bowell & Kemp
โ€ข A complex argument can be built up in
stages. Example:
โ€“ We did a deductive test of whether the
pakistani-origin couple have a traditional
division of labour.
โ€“ Next we inductively seek evidence whether
the woman is comfortable with her
traditional division of household labour.
โ€ข We also note she has a paid parttime job.
โ€ข We also note her husband works.
โ€ข And she travels for work.
24
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Keep the argument
developingโ€ฆ
โ€ข We interpret her contradictory statements
as accepting that there are two sets of
pressures upon them:
โ€ข Field of work: be a dual-earner household.
โ€ข Field of family: contribute money to HH income.
Be a hard worker.
โ€ข Field of Household: woman should be a double-
burden bearer without complaint.
โ€ข Field of work: get help with domestic work to
enable ourselves to get to do paid work.
โ€“ Retroduce using Bourdieuvian social theory.
25
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Introduce a novel concept
โ€ข We need to resolve a problem that we
switched meanings in our own
terminology โ€˜traditional division of
household labourโ€™.
โ€“ A) new term, โ€˜conceptual ideal of the
TDHLโ€™ vs. โ€˜practical reality of the pragmatic
sharing of the HLโ€™
โ€“ B) Now re-write the whole argument.
26
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COMMENTARY
โ€ข I SOLVED MY INTERPRETATION
PROBLEM.
โ€ข IN FISHER, WE ALSO SEE THIS AS
THE LOGIC OF CHALLENGING A
SUPPOSITION: suppose there is a
norm that all pakistan-origin households
have a strict gender division-of-labourโ€ฆ27
Matrix search
โ€“ These are complex searches on the database. They usually
result in a tabular output. They may correspond with
โ€˜complex argumentsโ€™ that summarise and resolve
contradictions.
โ€ข To mix Survey Data or a face-sheet with
Textual Data, use Import and then Analyse in
NVIVO. You will need to create Case Nodes.
โ€ข These then allow a Classification sheet
showing the attributes of each person/case.
โ€“ You can use a Matrix Search on the sub-nodes of a
demographic node like CLASS with the sub-nodes
of another substantive node like ATTITUDES.
โ€“ Results are Some/None coded; and linkages to
30/07/14 28
Conclusions
โ€ข So far I introduced complex reasoning
โ€ข I said that NVIVO can be used to code (at
Stage 2) the themes that help you to resolve
any contradictions.
โ€ข Sometimes these relate to power, where
people or other agents have an ambiguous
and changing position vis-a-vis
power/hegemonic-discourses/norms.
โ€“ Actually setting up a matrix search is beyond a one-day
course, but is possible in NVIVO to illustrate contradictions.
30/07/14 29
421
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30
Very Concise Sources:
โ€ข Cook, S. (1999). "Methodological
aspects of the encompassing principle."
Journal of Economic Methodology 6:
61-78.
โ€ข AND chapters 2-3 of:
โ€ข Sayer, A. (1992 (orig. 1984)). Method in
Social Science: A Realist Approach.
London, Routledge.
โ€ข OR two chapters from Smith, M., ed.
1998, Social Science in Question.
4210011 0010 1010 1101 0001 0100 1011
Thank you.
P.S. Something to read by Wendy Olsen on
ethics . . .
Olsen, Wendy, (2009) โ€œMoral Political Economy and
Moral Reasoning About Rural India: Four
Theoretical Schools Comparedโ€, Cambridge
Journal of Economics,
http://cje.oxfordjournals.org/cgi/reprint/33/5/875.pdf,
33:5, 875-902.

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Critical Thinking And Arguments about Contradictions Using Qualitative Data & NVIVO. 2014

  • 1. 4210011 0010 1010 1101 0001 0100 1011 Critical Thinking About Contradictions Using Qualitative Data (Part One) By Wendy Olsen 2014 Methods@Manchester Workshop Aiming at PhD Students and Researchers Who Want to Disseminate Arguments
  • 2. 421 0011 0010 1010 1101 0001 0100 1011 AIM 1) To introduce โ€˜critical thinkingโ€™ to your academic writing. Class Exercise 1: We look at your own samples of data, and at one of mine. AIM 2) Set up (hand) coding on a simple transcript. AIM 3) A simple NVIVO lecture. WE WILL BE IN WILLIAMSON ROOM 3.59 COMPUTER CLUSTER 11-3 AIM 4) (rejoin in Room HBS 1.69) and do Exercise 2. Integrate our analysis of the sample transcript (or your own data sample, if you bring one) with what we learned about complex social- science argumentation.
  • 3. 421 0011 0010 1010 1101 0001 0100 1011 Critical Thinking โ€ข Parse the logic of a sample piece of writing. โ€ข The steps should be related, and coherent. โ€ข The conclusion should rest on the argument. โ€ข Complex arguments use data as evidence. โ€ข P= Premises โ€ข C = Conclusions
  • 4. 421 0011 0010 1010 1101 0001 0100 1011 4 An Argument โ€ฆ โ€ข Is an extended set of sentences about one thing. โ€ข Has a coherent relationship among the sentences. โ€ข Is coherent as a whole. โ€ข Leads toward its own conclusion. โ€ข I have stipulated this definition.
  • 5. 421 0011 0010 1010 1101 0001 0100 1011 5 Warranted Arguments โ€ข In a warranted argument, โ€“ Conclusions are not just beliefs, โ€“ Premises are consistent and coherent, โ€“ Reasoning is sound, โ€“ Verbs used are relevant and appropriate, โ€“ Logic is used (various types), and โ€“ The conclusion would be false if any of the Pโ€™s or Rโ€™s are false. Use Triangulation!! โ€“ * on the previous slide, โ€˜better impactโ€™ rested upon unspecified Premises and Reasoning about โ€˜impactโ€™
  • 6. 421 0011 0010 1010 1101 0001 0100 1011 6 Exercise 1. โ€“In Pairs: Share textual samples. โ€ข Write down two first-stage โ€˜codesโ€™ which are theme names, so that the material in this sample could be RETRIEVED. โ€ข Write down two second-stage โ€˜codesโ€™ which are analytical, ie. Perhaps they relate to theory, such as gender roles, agency, structures of family, power, or other. โ€ข The theme is going to develop into an argument. You are not merely descriptive in summarising your findings. Induction. This is called the second-stage coding. โ€ข See my example coding on ethnicity.
  • 7. 421 0011 0010 1010 1101 0001 0100 1011 See also: โ€“ Bazeley, books and online materials on NVIVO. โ€“ Elliot, J (2005) Using Narrative in Social Research, London, Sage. โ€“ Flick, U/Banks, M (2007) Using Visual Data in Qualitative Research, London, Sage. โ€“ Gibbs, G (2007) Various books on using NVIVO. โ€“ Lewins, A and Silver, C (2007) Using Software in Qualitative Research, London, Sage. 7
  • 8. 421 0011 0010 1010 1101 0001 0100 1011 Conclusion of Exercise 1 โ€ข Step 1 : simple, descriptive codes. โ€ข Step 2 : analytical codes, axial codes. โ€ข These invoke theory. โ€ข Step 3 : develop an argument and test it out, work on it. Code moreโ€ฆ โ€“ What are the peopleโ€™s lay arguments? (See Sayer) โ€“ What is your expert argument, over-arching? 8
  • 9. 421 0011 0010 1010 1101 0001 0100 1011 Conclusion of Exercise 1 โ€ข Step 4: what are the contradictions? โ€ข You might expect 3 types. โ€“ Resistance to authority / norms / doxa. โ€“ Agreeing with and yet also disagreeing with a norm. โ€“ A text contradicting itself, in the sense of its intended meanings changing over time. 9
  • 10. 421 0011 0010 1010 1101 0001 0100 1011 10 Lecture 1 continued โ€ข Better and worse ARGUMENTS. โ€“ An argument is a theme, and it has to have a counter-theme (the โ€˜antithesisโ€™). โ€ข Good arguments might have: โ€“ Better ethics than worse arguments, OR โ€“ More consistent premises, OR โ€“ Consideration of data that might falsify a claim, OR โ€“ Coverage of things that are very well known to the writer. โ€“ See Bowell and Kemp, Critical Thinking, London: Routledge, 3rd ed., 2010. pg 96.
  • 11. 421 0011 0010 1010 1101 0001 0100 1011 11 Parsing Arguments โ€ข To parse means to break up into small chunks. TO PARSE . MEANS . TO BREAK . UP . INTO . SMALL . CHUNKS. Verb definition synonym-verb object โ€ข Break up arguments into P, R, D, E, Cโ€™s โ€“ Fisher, A. (1988). The Logic of Real Arguments. Cambridge, NY and Sydney, Cambridge Univ. Press.
  • 12. 421 0011 0010 1010 1101 0001 0100 1011 12 Warranted Arguments About Contradictions โ€“ Reasoning is sound, and it links together elements into a complex chain of reasoning. โ€“ Example: โ€ข Resistance to authority / norms / doxa.
  • 13. 421 0011 0010 1010 1101 0001 0100 1011 More applicationsโ€ฆ โ€ข Agreeing with and yet also disagreeing with a norm. โ€ข A text contradicting itself, in the sense of its intended meanings changing over time. โ€“ Please work on such things in the NVIVO practical. 13
  • 14. 421 0011 0010 1010 1101 0001 0100 1011 14 Data in Warranted Arguments โ€ข Premises โ€ข Data โ€ฆ which verifies findings . . . โ€“ After the findings are rewritten back into the data sections! But you did not know in advance what you would find. Discoveries. Retroduction. โ€ข Reasoning . . . Which uses data! Depends on it! Needs it! Develops / analyses it! โ€ข Conclusion(s) (Danermark et al 2001) โ€ข Beware of verificationism. Hence use hypotheses. โ€ข Or use claims e.g. โ€˜it is claimed that X ๏ƒจ Yโ€™
  • 15. 421 0011 0010 1010 1101 0001 0100 1011 15 The Duhem-Quine Paradox โ€ข Willard Van Orman Quine (June 25, 1908 โ€“ December 25, 2000) โ€“ Edgar Pierce Chair of Philosophy at Harvard, 1956โ€“78 โ€ข Two Dogmas of Empiricism (1951) โ€ข Argues that much of science does tend to verify itself, and that we cannot describe ALL of the world, only a TINY part of it. โ€ข As a result, descriptions often contradict each other. ๏€ข๏ƒ  fallibilism. Epistemological fallibilism.
  • 16. 421 0011 0010 1010 1101 0001 0100 1011 The Implications of Quine for our Study of Contradictions โ€ข We have to holistically develop a theoretical framework that encompasses the material we have. โ€ข We can get more material after we do retroduction. โ€ข That means asking why these data showed up a contradictionโ€ฆ ask again? Get texts/symbols? Look at visual evidence? โ€ข Use your own cultural resources. Cite sources. โ€ข Then build the complex argument. 16
  • 17. 421 0011 0010 1010 1101 0001 0100 1011 Help From Bowell & Kemp โ€ข A complex argument can be built up in stages. โ€ข Each stage has Premises, Reasoning, Data and Conclusion. โ€ข The Conclusion of one is a premise of another. (OR, using Fisher, a supposition) 17
  • 18. 421 0011 0010 1010 1101 0001 0100 1011 How Bowell & Kemp and Fisher Illustrate Arguments 18
  • 19. 421 0011 0010 1010 1101 0001 0100 1011 How We Will Summarise Ours 19
  • 20. 421 0011 0010 1010 1101 0001 0100 1011 How We Will Summarise Ours 20 Suppose P1 a taboo on marrying a UK born person Evidence is that some marry UK born people and some donโ€™t F a l s i f i e s Respondent says she marries someone of whom family will approve Weakness of a single case as evidence After falsifying -- Then what?
  • 21. 421 0011 0010 1010 1101 0001 0100 1011 How We Will Analyse Mixed Data Types 21 Activity of Retroduction What would explain what we have observed, in all its variety? Gather more evidence, e.g. create a Census table of Country of Birth of person and of their marriage partner using the couples in the UK Census. (! EASY! USES CENSUS MICRODATA โ€“ UK BEST SOURCE COMPARED WITH OTHER COUNTRIES) What does this Table mean? What does it imply about the UK world? Combine this with close study of what must be true for some to conform, and others to not conform, with the norm
  • 22. 421 0011 0010 1010 1101 0001 0100 1011 How We Will Summarise Ours 22 Suppose P1: a contested taboo on marrying a UK born person Evidence is that some marry UK born people and some donโ€™t R e v i s e d Some respondents say they marry someone of whom family will approve Some respondents say they make a personal choice and/or fall in love. Evidence on marital patterns is mixed by ethnicity and by religion and COB These women have to navigate roles as active agents
  • 23. 421 0011 0010 1010 1101 0001 0100 1011 There are many situationsโ€ฆ 23
  • 24. 421 0011 0010 1010 1101 0001 0100 1011 Help From Bowell & Kemp โ€ข A complex argument can be built up in stages. Example: โ€“ We did a deductive test of whether the pakistani-origin couple have a traditional division of labour. โ€“ Next we inductively seek evidence whether the woman is comfortable with her traditional division of household labour. โ€ข We also note she has a paid parttime job. โ€ข We also note her husband works. โ€ข And she travels for work. 24
  • 25. 421 0011 0010 1010 1101 0001 0100 1011 Keep the argument developingโ€ฆ โ€ข We interpret her contradictory statements as accepting that there are two sets of pressures upon them: โ€ข Field of work: be a dual-earner household. โ€ข Field of family: contribute money to HH income. Be a hard worker. โ€ข Field of Household: woman should be a double- burden bearer without complaint. โ€ข Field of work: get help with domestic work to enable ourselves to get to do paid work. โ€“ Retroduce using Bourdieuvian social theory. 25
  • 26. 421 0011 0010 1010 1101 0001 0100 1011 Introduce a novel concept โ€ข We need to resolve a problem that we switched meanings in our own terminology โ€˜traditional division of household labourโ€™. โ€“ A) new term, โ€˜conceptual ideal of the TDHLโ€™ vs. โ€˜practical reality of the pragmatic sharing of the HLโ€™ โ€“ B) Now re-write the whole argument. 26
  • 27. 421 0011 0010 1010 1101 0001 0100 1011 COMMENTARY โ€ข I SOLVED MY INTERPRETATION PROBLEM. โ€ข IN FISHER, WE ALSO SEE THIS AS THE LOGIC OF CHALLENGING A SUPPOSITION: suppose there is a norm that all pakistan-origin households have a strict gender division-of-labourโ€ฆ27
  • 28. Matrix search โ€“ These are complex searches on the database. They usually result in a tabular output. They may correspond with โ€˜complex argumentsโ€™ that summarise and resolve contradictions. โ€ข To mix Survey Data or a face-sheet with Textual Data, use Import and then Analyse in NVIVO. You will need to create Case Nodes. โ€ข These then allow a Classification sheet showing the attributes of each person/case. โ€“ You can use a Matrix Search on the sub-nodes of a demographic node like CLASS with the sub-nodes of another substantive node like ATTITUDES. โ€“ Results are Some/None coded; and linkages to 30/07/14 28
  • 29. Conclusions โ€ข So far I introduced complex reasoning โ€ข I said that NVIVO can be used to code (at Stage 2) the themes that help you to resolve any contradictions. โ€ข Sometimes these relate to power, where people or other agents have an ambiguous and changing position vis-a-vis power/hegemonic-discourses/norms. โ€“ Actually setting up a matrix search is beyond a one-day course, but is possible in NVIVO to illustrate contradictions. 30/07/14 29
  • 30. 421 0011 0010 1010 1101 0001 0100 1011 30 Very Concise Sources: โ€ข Cook, S. (1999). "Methodological aspects of the encompassing principle." Journal of Economic Methodology 6: 61-78. โ€ข AND chapters 2-3 of: โ€ข Sayer, A. (1992 (orig. 1984)). Method in Social Science: A Realist Approach. London, Routledge. โ€ข OR two chapters from Smith, M., ed. 1998, Social Science in Question.
  • 31. 4210011 0010 1010 1101 0001 0100 1011 Thank you. P.S. Something to read by Wendy Olsen on ethics . . . Olsen, Wendy, (2009) โ€œMoral Political Economy and Moral Reasoning About Rural India: Four Theoretical Schools Comparedโ€, Cambridge Journal of Economics, http://cje.oxfordjournals.org/cgi/reprint/33/5/875.pdf, 33:5, 875-902.