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8/10/2019 Lecture 10 Qualitative Research
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Qualitative Research
Methods
Theres more to it than meets the
eye!
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Qualitative Methods
1. Get over the idea that research means
counting.
2. The focus is on subjective experiences, or the
meanings that people use.3. Because meaning resides in language (people
think with language), qualitative research
largely involves studying text.
4. The best device for collecting and analyzing
qualitative information is the human brain.
Introduction
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Qualitative Methods
5. Qualitative research is local, concrete.
6. Observations and findings depend on
understanding contexts and the meanings held
by the people in those contexts and themeanings of the things in those contexts.
7. Observations are typically of interactions in
smaller groups or selectively defined settings.
8. Exploration is very often the motive, but not
always.
Introduction
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Qualitative Methods
9. Qualitative research often provides idiographic(as opposed to nomothetic) causalexplanations.
10. Qualitative research is typically inductive.11. The research is reflexivedesign is flexible
and can change given the needs of theresearch. E.g., Theoretical Sampling
12. The researcher must be reflexive as wellthebrain tool must be calibrated, understood,active, paid attention to, controlled
Introduction
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Qualitative Methods
13.Qualitative research is very practical,
logical, and critical of itself. Researchers
constantly ask, Am I accurately
depicting the social world given the ways
I am collecting and analyzing my data?
14.Good qualitative research is often the
most rigorous, difficult research.
Introduction
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DEDUCTIVE & INDUCTIVE REASONING
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Elements of the Research Process
Deductivethinking (Quantitative)
THEORY
HYPOTHESIS
OBSERVATION
CONFIRMATION
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Elements of the Research Process (Cont.)
Inductivethinking (Qualitative)
OBSERVATION
PATTERNS
HYPOTHESIS
THEORY
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IDEAL
QUANTITATIVE QUALITATIVE
Research process is
deductive.
Research process is
inductive.
Measure objective facts. Document social reality,
meaning is constructed.
Focus on variables. Focus on in-depth meaning.
Firewall between research
process and researchers
values.
Values are present & explicit
(empathy).
Cross-contextual. Contextual dependence.
Many cases. Few cases.
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Statistical analysis Thematic analysis
Highly structured research
process.
Loosely structured
research process.
Particularistic, specific Holistic perspective
Separation from data Intimacy with data
Generalize to population
Generalization to properties and
contexts
IDEAL
QUANTITATIVE QUALITATIVE
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When should I use qualitative methods?
When variables cannot be quantified
When variables are best understood in their natural
settings
When variables are studied over real time
When studying intimate details of roles, processes,and groups
When the paramount objective is understanding
Qualitative Methods
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Qualitative Methods
What skills do I need? Must have requisite knowledge and skills about
methodology, setting and nature of the issue.
Must be familiar with own biases, assumptions,
expectations, and values. Must be empathic, intelligent, energetic, and interested in
listening
Must be open to embracing multiple realities.
Must be prepared to produce detailed, comprehensive, andsometimes lengthy reports.
Source: (Kuh & Andreas, 1991)
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Qualitative Methods
Before collecting data, you have to determine what you want toaccomplish.
Tight versus Loose Design
Ask yourself: How much time do I have?
What resources are available? What is the purpose of the study?
In what am I really interested?
More structure can prevent waste If we already know about the context, it would be wasteful to go
exploring If you have targeted topic, you can reduce data at the collection stage
and cut down on analysis time
Loose produces more data, more surprise discoveriescan bemade
Desi n
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Qualitative MethodsChoose your unit of analysis.
Individuals Certain experiences
Experiences in particular settings
Identities such as student with disabilities, ex-con
Groups Demographic groups
Intervention groups
Types of people such as ball players, secretaries Those in one setting versus another
Organizations
Desi n
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Qualitative Methods
Qualitative research quicklyexhausts resources and time.
Limit the amount of data collected.
Its not the size that matters, its what you do with the data.
Be very clear about the research focus Write down your foggy ideas and then get more
specific. Concentrate on most important issues and not others.
Start writing specific questions you want to answer.
Now get even more specificreduce
Desi n
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Sampling
Plan Data Collection
Define sampling boundaries: Space
Time Social position
Context
Record nothing that is not in your samplingparameters
Desi n
S li
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Select Elements Representative of Target Population
Generalize from sample to populationMake claims about the population
Test theories within population
Select Elements Representative of Research Focus
Generate Detailed and Subjective Understanding
Answer research questionsBuild theories
Sampling:
Qualitative versus Quantitative
Quantitative Sampling
Qualitative Sampling
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Sampling
Make choices that narrowor delimit research focusand activities to a level that
A researchers brain can handle
Can be done in a reasonable amount of time
Is within a reasonable budget
Seek exposure to topic-related information
Focus only on information directly useful for theresearch
Samples should be small, not large
Sampling decisions are made throughout datacollection
Sam lin
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Text is generally collected from or in the formof
Field notes -- Newspaper or magazine stories
Interviews (recorded and transcribed)
Focus groups -- Web pages
Audio & video tapes (transcribed and described)
Copies of documents -- Photographs (described)
Narrative descriptions
Diaries
Data
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1. Read Data, develop ideas and
feelings
2. Code Data, tag items with samemeaning using a unique code
3. Search and extract instances ofcodes
4. Identify patterns among codes
(pattern coding)5. Create figures, tables, or
descriptions of patternsAN
ALY
SIS
THEMES
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Analysis
Process of Qualitative Analysis:
Data Reduction
Data Display
Conclusion Drawing and Verification
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Analysis
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Coding
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Coding
What is coding? In qualitative analysis, coding is the process of
identifying categories and meanings in text, creating and
applying a name or code to each, and systematicallymarking similar strings of text with the same code name.
Coding permits systematic retrieval of categories and
meanings during analysis. Codes help researchersidentify patterns in data.
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C di
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Coding
Source: http://onlineqda.hud.ac.uk/Intro_QDA/phpechopage_titleOnlineQDA-Examples_QDA.php
An example of
old schoolcoding
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Coding
Sources of codes (typically both):1.A priori codesexpected, looked for
Previous research
Previous theory
Research question
Your intuition of the data or setting
2.Grounded codesdiscovered(suspend ideas about the subject and let the data determine codes)
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Coding
It helps if code names are meaningful.
When new relevant content is discovered,
a new code is created.
Codes may evolve
A string of text may contain more than onecode.
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Coding
Codes must be consistently applied
Keeping a list of codes helps to: Identify the content of each code, and
Reveal the contents of the text.
Codes should be grouped in some form
(e.g., related clusters) to advance analysis
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Coding
http://www.qualitative-research.net/index.php/fqs/article/view/209/461
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Displays
Making sense of the data
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Displays
There are numerous legitimate ways to movefrom codes to final narrative, but core amongthem is systematic work and adherence to logic.
Systematic analysis is advanced when codesare put into data displayswhich reflect theresearchers judgments about the data
Data displays link various codes and help tobuild themes
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Displays
Such arrangements help researchers:
1. dimensionalize,or recognize dimensions of similarthoughts or E.g., thoughts about how to appear masculine:
Clothes Presence
Short hair -- Confidence
Plain shoes -- Taking up space
Shirt with collar
2. Connect codes in more sophisticated ways
3. Document patterns in user-friendlyways (neverrely on memory)
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Displays Relationships between codes become more
apparent as codes are grouped
Themes should be explored Why do some codes co-occur?
Why are some dimensions related to other codeswhile others are not?
Are some codes linked to particular emotions?
Exploration of themes is analysis. Thediscoveries should be written down. Theseeventually (with very heavy and serious editing)turn into your written text.
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Analysis
Process of Qualitative Analysis:
Data Reduction
Data Display
Conclusion Drawing and Verification
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As one creates and views displays, the salient
components of meaning and activities become apparent.
Research may be: Descriptive: Represents the data (meanings, observations) to
readers in such a way that they will understandwhat theresearcher seesin the data.
Causal: Links concepts in the data together to explain observedmeanings or phenomena, and to write in such a way that readerswill understandwhat the researcher sees.
This stage relies very heavily on logical evaluation andsystematic description
Drawing Conclusions and Verification
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The researcher WRITES what he or she sees aslogical descriptions of themes
The researcher always refers back to the datadisplays and raw data as descriptions or causalstatements are made. Systematic, organized, and good coding and notes
will really pay off at this point, allowing efficient,accurate access to data
Conclusions are made through this process
Drawing Conclusions and Verification
C f
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Drawing Conclusions and Verification
Articles and reports often include quotes.
They are not the text speaking for itself. Quotes are used for:
Evidence
Explanation Illustration
Deepening understanding
Giving participants a voice Enhancing readability
D i C l i d V ifi i
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Drawing Conclusions and Verification
In the end, like good quantitative research, good
qualitative research gives a portrayal of the human
experience that is as accurate as possible, but which
always has limitations.
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Qualitative Methods
It is often difficult to plan qualitative research Group Discussion:
Spend several minutes generating ideas for aqualitative research study. What are you going to
study and why? Create a plan for:
Sampling How will you determine whether your sample is representative
of a target group?
Data Collection
Data Analysis How will you evaluate causality?
How will you write about or present your findings?