Chapter 17 - 18 Flashcards

Qualitative Data Analysis + Conclusions

1
Q

Qualitative data analysis

A

is aimed at making valid inferences from the often overwhelming amount of collected data

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2
Q

Steps of qualitative data analysis:

A
  1. data reduction: the process of selecting, coding and categorizing the data
  2. data display: ways of presenting the data
  3. drawing and verifying conclusions: based on patterns in the reduced set of data
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3
Q

coding

A

the analytic process through which the qualitative data that you have gathered are reduced, rearranged, and integrated to form a theory

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4
Q

codes:

A

are labels given to units of text which are later grouped and turned into categories

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5
Q

coding unit:

A

choose the unit of analysis—eg words, sentences, paragraphs, themes

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6
Q

categorization

A

the process of organizing, arranging, and classifying coding units

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7
Q

grounded theory

A

where there is no theory available, you must generate codes, and categories inductively from the data

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8
Q

data display

A

taking your reduced data and displaying them in an organized, condensed manner

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9
Q

category reliability

A

the extent to which judges are able to use category definitions to classify the qualitative data

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10
Q

interjudge reliabilty

A

% of coding agreements out of the total number of coding decisions

  • agreement rates at or above 80% are considered to be satisfactory
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11
Q

validity in qualitative reseach

A
  • accurately represent the collected data (internal)
  • can be generalized or transferred to other contexts or settings (external)
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12
Q

how to know if it is valid

A

supporting generalization by counts of events

ensuring representatives of cases and the inclusion of deviant cases

  • the selection of deviant cases provides a strong test of your theory!
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13
Q

content analysis

A

an observational research method that is used to systematically evaluate the symbolic content of all forms of recorded communication

-establishes the existence and frequency of concepts in text

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14
Q

relational analysis

A

builds on conceptual analysis by examining the relationships among concepts in the text

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15
Q

narrative analysis

A

a approach that aims to elicit and scrutinize the stories we tell ourselves and their implications for our lives

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16
Q

analytic induction

A

an approach where universal explanations of phenomenon one sought by the collection of data until no cases that are inconsistent with a hypothetical explanation of a phenomenon are found

17
Q

big data

A

a term used to describe the exponential growth and availability of data from digital sources inside and outside the organization

  • defined by its volume, variety, and velocity
18
Q

conclusions

A

conclusions represent your informed judgement with regard to (how) the organizational problem (can best be solved)

  • culmination of research project
  • can be applied to inform evidence based decision making
19
Q

argumentation

A

a conclusion (or claim)– which is the main point the argument is trying to establish

premises (the evidence)— which support the conclusion

20
Q

if the premises are true…

A

then the conclusion must be true

  • in such cases the argument is said to be valid
21
Q

Amplitive (or inductive) arguments

A
  • in real life, most arguments are not deductive
  • the relationship between the premises and conclusion is less than perfect
  • could be either good or bad
22
Q

Toulmin’s Model

A

takes the conclusion as a starting point and emphasizes that conclusions are often based on probability (strong relationships) rather than on certainty (perfect relationships)

23
Q

when is Toulmin’s model useful?

A

when arguments are amplitive (inductive)

  • conclusion and premises are less than perfect
24
Q

6 constituent parts of the Toulmin model

A
  1. the conclusion
  2. the premise
  3. the warrant
  4. a backing
  5. qualifiers
  6. counter arguments
25
a warrant
bridges the gap between the conclusion and premises - explains why the evidence supports the conclusion
26
a backing
needed when the warrant itself is not convincing enough - explains why the warrant is a rational one
27
qualifiers
adds nuance and specificity to the argument and account for counter arguments
28
counter arguments
addresses objections to the conclusion and/or recognize the restrictions which may be applied to the conclusion
29
what are the essential parts of the argument vs the non essential parts
esential: conclusion, premises, warrant non-essential: a backing, qualifiers, counter arguments
30
Fallacies
- alleged certainty - appeal to common belief - argument by reputation - blind authority argument - begging to question (cicular reasoning - cherry picking - does not follow - false cause - hasty generalization - regression to the mean - sunk-cost fallacy