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By- Robert Elliot and Ladislav Timulak
Qualitative Research Methods are all those
methods that rely on linguistic rather than
numerical data, and employ meaning based
rather than statistical forms of data analysis.
- Polkinghorne,1983
 emphasis on understanding phenomena in
their own right
 open, exploratory research
 unlimited, emergent description options
 use of a special strategies for enhancing the
credibility of design and analyses
 definition of success conditions in terms of
discovering something new
- Elliot , 1999
 GROUNDED THEORY
 EMPIRICAL PHENOMENOLOGY
 HERMENEUTIC – INTERPRETIVE RESEARCH
 INTERPRETATIVE PHENOMENOLOGICAL ANALYSIS
 CONCENSUAL QUALITATIVE RESEARCH
 Should we read the available literature first
before getting into the field?
•familiarity with the previous knowledge will ‘taint’ the
researcher
•researcher might impose their preconceptions on the
data
•raise the danger of not being sensitive enough to allow
the data to speak for itself
YES
•researcher will remain ignorant of previous work
•Researcher’s work will be guided by uninformed rather
than informed expectation.
NO
So what should we do?
According to the writers, the first approach is somewhat naïve, because
bias is an unavoidable part of research and research is impossible
without some kind of previous conceptual structure.
So, before commencing data collection, we should
I. Fully examine available knowledge and theory
II. Carry out a thorough literature search that includes up to date
information on the topic of investigation
III. the researcher should become as aware as possible of the nature of
their pre-understandings of the phenomenon, as these are likely to
shape the data collection, analysis and interpretation. At the same
time, the researcher should regard their expectations lightly, in a way
that is open to unexpected meanings.
It should be guided by traditional questions
like :
1. What do we know?
2. Why is it important to know more?
3. What influenced previous research findings?
4. What do we want to make clearer by new
study?
 Research questions should be open ended
and exploratory in nature, especially when:
I. there is little known in a particular research
area;
II. existing research is confusing,
contradictory, or not moving forward; or
III. the topic is highly complex.
 Types of Exploratory Questions:
I. Definitional
II. Descriptive
III. Interpretive
IV. Critical/Action
V. Deconstruction
- Elliott, 2000
Qualitative Research data
 looks for verbal accounts or description in
words
 Puts observation into words
 Uses open ended questions
 Uses open ended strategy for obtaining data
Qualitative Interviews
 Mostly semi structured or unstructured interview
formats
 The interviewer should have basic skills plus
additional training in open-ended interviewing;
 Such interviews are very similar to the empathic
exploration found in good person-centered
therapy
 Good practice is to develop an interview guide
 It is recommended to provide interviewees with a
list of questions before the interview.
 Variant Formats
I. Self report questionnaires
II. Focus group
III. Tape assisted recall
IV. Think aloud protocols
V. Observational Methods
 Self report questionnaires are used much less
 Given time and space constraints,
questionnaire may be used consisting of
open ended questions asking for
elaborations, examples, etc.
 Follow up questionnaire by phone interview
or e-mail correspondence
 Focus Group
a group format in which participants share
and discuss their views of a particular topic
allowing access to a large number of possible
views and a replication of naturalistic social
influence and consensus processes.
 Tape-assisted recall
Here, a recording of an interaction is played
back for the interviewee so that they can
recall and describe their experience of
particular moments (Elliott, 1986).
 Think-aloud protocols (McLeod, 1999)
These are special forms of interview in which
the participant is asked to verbalise their
thought processes as they deal with a
problem.
 Observational methods
I. Extensive use of field notes and memos
II. Often use non interview archival data (tape
recordings, associated transcripts)
 The three key aspects typical of the data
collection in descriptive/interpretive
qualitative research:
1. it always has a focus.
2. gives power to respondents
3. triangulation strategy
 It is focused on application of findings beyond the
research sample
 It does not aim at securing confidence intervals of studied
variables around exact values in population
 It tries to sample broadly enough and interview deeply
enough that all the important aspects and variations of the
studied phenomenon captured in the sample
 Generalisability is replaced by thorough specification of
sample characteristics
 Size of sample is much lower than Quantitative research
 Uses the criteria of saturation, (Strauss and
Corbin, 1998),
which means adding new cases to the point
of diminishing returns, when no new
information emerges.
 To satisfy the saturation criterion, purposeful
sampling is used
 In grounded theory tradition, theoretical
sampling is used
 Sampling should be flexible and reflect the
research problem.
Data analysis in Qualitative research includes
flexibility, constant critical self reflection,
checking and auditing all steps and archiving
each step in a systematic and organized
manner.
1. Data Preparation
2. Delineating and processing Meaning units
3. Finding and overall organizing structure for
the data
4. Generation of Categories
5. Abstracting the main findings
6. Validity of analysis
7. Interpretation of results
STEP 1 : DATA PREPARATION
 Obtained from notes and tape-recordings
(transcribed verbatim)
 Initial reading gives insights and
understanding : written down as memos
 Later readings lead to editing of data
(redundancies, repetitions and unimportant
digressions are omitted)
STEP 2 : DELINEATING AND PROCESSING
MEANING UNITS
 Divide the data into distinctive meaning units
 Length depends on the judgment of the
researcher
 Shorten them by getting rid of redundancies
but do not change the meaning
 Assign consecutive code to each meaning
unit to track them back if needed
 Analysis is done on these meaning units
STEP 3: FINDING THE OVERALL ORGANISING
STRUCTURE OF THE DATA
 Different sets of meaning units describe different
aspects of the phenomenon
 Data is organized in different phases, referred to
as domains
 Critical auditing and testing of different possible
framework is done
 Find various kinds of relation between domains
(sequence, causes, signification, etc.)
 Domains may mirror different sources of data
STEP 4 : GENERATION OF CATEGORIES
 Meaning units are coded within each domain in
which they have been organized.
 Labels can be redefined during the analysis
 Categorizing the categories as per similarities
and regularities (hierarchy or cross case analysis)
 Relationship among categories are often pictured
in the forms of figures and diagrams.
STEP 5: ABSTRACTING THE MAIN FINDGINGS
FROM THE CATEGORY STRUCTURE
 Abstracting follows essential sufficiency rule
 Employ graphs, diagrams, figures, tables, and
narratives to communicate the essence of the
phenomenon
STEP 6: VALIDITY OF ANALYSIS
 It is assessed throughout the study by:
1. Independent auditing
2. Validation by research participants
3. Triangulation strategy
4. Collection of more cases
5. Resonation with the reader of the research
paper
 It should ground the findings in illustrative
examples.
STEP 7 : INTERPRETATION OF RESULTS OF
CATEGORISED DATA
 It is done by reflecting thoroughly on
methodological influences and limitations
 Probing the implication of research through
existing literature
 Findings should be within socio-historic and
scientific context
1. Own your perspective
2. Describe your sample
3. Ground categories in examples
4. Provide one or more credibility checks
5. Organize categories to provide coherent
understanding of how they fit together
6. Accomplish general vs. specific research tasks
7. Allow readers to evaluate whether the
categories resonate with first – or- second hand
experience of the phenomenon
Qualitative research is a breath of fresh air to
social sciences.
Although they are under- utilised by
researchers, they vastly complement the
enriching, enlivening and illuminating
quantitative results.
THANK YOU !
(prepared by : Stutty Srivastava)

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Descriptive and interpretive approaches to qualitative research

  • 1. By- Robert Elliot and Ladislav Timulak
  • 2. Qualitative Research Methods are all those methods that rely on linguistic rather than numerical data, and employ meaning based rather than statistical forms of data analysis. - Polkinghorne,1983
  • 3.  emphasis on understanding phenomena in their own right  open, exploratory research  unlimited, emergent description options  use of a special strategies for enhancing the credibility of design and analyses  definition of success conditions in terms of discovering something new - Elliot , 1999
  • 4.  GROUNDED THEORY  EMPIRICAL PHENOMENOLOGY  HERMENEUTIC – INTERPRETIVE RESEARCH  INTERPRETATIVE PHENOMENOLOGICAL ANALYSIS  CONCENSUAL QUALITATIVE RESEARCH
  • 5.  Should we read the available literature first before getting into the field? •familiarity with the previous knowledge will ‘taint’ the researcher •researcher might impose their preconceptions on the data •raise the danger of not being sensitive enough to allow the data to speak for itself YES •researcher will remain ignorant of previous work •Researcher’s work will be guided by uninformed rather than informed expectation. NO
  • 6. So what should we do? According to the writers, the first approach is somewhat naïve, because bias is an unavoidable part of research and research is impossible without some kind of previous conceptual structure. So, before commencing data collection, we should I. Fully examine available knowledge and theory II. Carry out a thorough literature search that includes up to date information on the topic of investigation III. the researcher should become as aware as possible of the nature of their pre-understandings of the phenomenon, as these are likely to shape the data collection, analysis and interpretation. At the same time, the researcher should regard their expectations lightly, in a way that is open to unexpected meanings.
  • 7. It should be guided by traditional questions like : 1. What do we know? 2. Why is it important to know more? 3. What influenced previous research findings? 4. What do we want to make clearer by new study?
  • 8.  Research questions should be open ended and exploratory in nature, especially when: I. there is little known in a particular research area; II. existing research is confusing, contradictory, or not moving forward; or III. the topic is highly complex.
  • 9.  Types of Exploratory Questions: I. Definitional II. Descriptive III. Interpretive IV. Critical/Action V. Deconstruction - Elliott, 2000
  • 10. Qualitative Research data  looks for verbal accounts or description in words  Puts observation into words  Uses open ended questions  Uses open ended strategy for obtaining data
  • 11. Qualitative Interviews  Mostly semi structured or unstructured interview formats  The interviewer should have basic skills plus additional training in open-ended interviewing;  Such interviews are very similar to the empathic exploration found in good person-centered therapy  Good practice is to develop an interview guide  It is recommended to provide interviewees with a list of questions before the interview.
  • 12.  Variant Formats I. Self report questionnaires II. Focus group III. Tape assisted recall IV. Think aloud protocols V. Observational Methods
  • 13.  Self report questionnaires are used much less  Given time and space constraints, questionnaire may be used consisting of open ended questions asking for elaborations, examples, etc.  Follow up questionnaire by phone interview or e-mail correspondence
  • 14.  Focus Group a group format in which participants share and discuss their views of a particular topic allowing access to a large number of possible views and a replication of naturalistic social influence and consensus processes.
  • 15.  Tape-assisted recall Here, a recording of an interaction is played back for the interviewee so that they can recall and describe their experience of particular moments (Elliott, 1986).
  • 16.  Think-aloud protocols (McLeod, 1999) These are special forms of interview in which the participant is asked to verbalise their thought processes as they deal with a problem.
  • 17.  Observational methods I. Extensive use of field notes and memos II. Often use non interview archival data (tape recordings, associated transcripts)
  • 18.  The three key aspects typical of the data collection in descriptive/interpretive qualitative research: 1. it always has a focus. 2. gives power to respondents 3. triangulation strategy
  • 19.  It is focused on application of findings beyond the research sample  It does not aim at securing confidence intervals of studied variables around exact values in population  It tries to sample broadly enough and interview deeply enough that all the important aspects and variations of the studied phenomenon captured in the sample  Generalisability is replaced by thorough specification of sample characteristics  Size of sample is much lower than Quantitative research
  • 20.  Uses the criteria of saturation, (Strauss and Corbin, 1998), which means adding new cases to the point of diminishing returns, when no new information emerges.  To satisfy the saturation criterion, purposeful sampling is used  In grounded theory tradition, theoretical sampling is used  Sampling should be flexible and reflect the research problem.
  • 21. Data analysis in Qualitative research includes flexibility, constant critical self reflection, checking and auditing all steps and archiving each step in a systematic and organized manner.
  • 22. 1. Data Preparation 2. Delineating and processing Meaning units 3. Finding and overall organizing structure for the data 4. Generation of Categories 5. Abstracting the main findings 6. Validity of analysis 7. Interpretation of results
  • 23. STEP 1 : DATA PREPARATION  Obtained from notes and tape-recordings (transcribed verbatim)  Initial reading gives insights and understanding : written down as memos  Later readings lead to editing of data (redundancies, repetitions and unimportant digressions are omitted)
  • 24. STEP 2 : DELINEATING AND PROCESSING MEANING UNITS  Divide the data into distinctive meaning units  Length depends on the judgment of the researcher  Shorten them by getting rid of redundancies but do not change the meaning  Assign consecutive code to each meaning unit to track them back if needed  Analysis is done on these meaning units
  • 25. STEP 3: FINDING THE OVERALL ORGANISING STRUCTURE OF THE DATA  Different sets of meaning units describe different aspects of the phenomenon  Data is organized in different phases, referred to as domains  Critical auditing and testing of different possible framework is done  Find various kinds of relation between domains (sequence, causes, signification, etc.)  Domains may mirror different sources of data
  • 26. STEP 4 : GENERATION OF CATEGORIES  Meaning units are coded within each domain in which they have been organized.  Labels can be redefined during the analysis  Categorizing the categories as per similarities and regularities (hierarchy or cross case analysis)  Relationship among categories are often pictured in the forms of figures and diagrams.
  • 27. STEP 5: ABSTRACTING THE MAIN FINDGINGS FROM THE CATEGORY STRUCTURE  Abstracting follows essential sufficiency rule  Employ graphs, diagrams, figures, tables, and narratives to communicate the essence of the phenomenon
  • 28. STEP 6: VALIDITY OF ANALYSIS  It is assessed throughout the study by: 1. Independent auditing 2. Validation by research participants 3. Triangulation strategy 4. Collection of more cases 5. Resonation with the reader of the research paper  It should ground the findings in illustrative examples.
  • 29. STEP 7 : INTERPRETATION OF RESULTS OF CATEGORISED DATA  It is done by reflecting thoroughly on methodological influences and limitations  Probing the implication of research through existing literature  Findings should be within socio-historic and scientific context
  • 30. 1. Own your perspective 2. Describe your sample 3. Ground categories in examples 4. Provide one or more credibility checks 5. Organize categories to provide coherent understanding of how they fit together 6. Accomplish general vs. specific research tasks 7. Allow readers to evaluate whether the categories resonate with first – or- second hand experience of the phenomenon
  • 31. Qualitative research is a breath of fresh air to social sciences. Although they are under- utilised by researchers, they vastly complement the enriching, enlivening and illuminating quantitative results.
  • 32. THANK YOU ! (prepared by : Stutty Srivastava)

Editor's Notes

  1. other distinctive features of qualitative research may turn out to be of far greater importance (Elliott, 1999): ◆ emphasis on understanding phenomena in their own right (rather than from some outside perspective); ◆ open, exploratory research questions (vs. closed-ended hypotheses); ◆ unlimited, emergent description options (vs. predetermined choices or rating scales); ◆ use of a special strategies for enhancing the credibility of design and analyses (see Elliott, Fischer and Rennie, 1999); and ◆ definition of success conditions in terms of discovering something new (vs. confirming what was hypothesised).
  2. Qualitative research methods today are a diverse set, encompassing approaches such as empirical phenomenology, grounded theory, ethnography, protocol analysis and discourse analysis.
  3. As to the aim of exploratory questions, Elliott (2000) sees the following types: ◆ Definitional: What is the nature of this phenomenon? What are its defining features? (e.g., What does it mean for patients with metastatic breast cancer to experience help in this existential support group treatment?) ◆ Descriptive: What kinds or varieties does the phenomenon appear in? What aspects does it have? (e.g., In what ways do adolescent patients in a cognitive behavioural treatment for diabetes self-care change?) ◆ Interpretive: Why does the phenomenon come about? How does it unfold over time? (e.g., What is the story or sequence of patients’ improvement in a post-surgery cardiac rehabilitation programme? What changes led to what other changes?) ◆ Critical/action: What’s wrong (or right) about the phenomenon? How could it be made better? (e.g., What complaints do patients have about a specialist sleep disorder clinic?) ◆ Deconstruction: What assumptions are made in this research? Whose social or political interests are served by it? (e.g., What are the cultural and socio political implications of the way in which patient outcome has been measured in behav- ioural medicine research, such as focusing on pathology as opposed to health?)
  4. There are three key aspects typical of the data collection in descriptive/interpretive qualitative research worth mentioning at this point: First, despite the fact that data collection in qualitative research generally does not use pre-existing categories for sorting the data, it always has a focus. The focus is nat- urally driven by the specific research questions. (At the same time, however, the general research approach encourages constructive critique and openness to reassessment of the chosen focus, if the data begin to point in a different direction.) Second, qualitative interviews are distinguished by their deliberate giving of power to respondents, in the sense that they become co-researchers. The interviewer tries to empower respondents to take the lead and to point out important features of the phe- nomenon as they see it. For example, respondents may be encouraged not only to reveal aspects of their experiences that were not expected by the researcher, but also to suggest improvements in the research procedure. Last but not least, a triangulation strategy is often used in this kind of research, with data gathered by multiple methods (e.g., observation and interviewing). This strategy can yield a richer and more balanced picture of the phenomenon, and also serves as a cross-validation method.
  5. useful validation strategies. Validation by research participants is common, and involves presenting the results to the original informants or others like them in order to obtain feedback and correction. Another strategy, triangula- tion, involves comparing data collected by different methods (including quantitative). Collection of more cases may also be useful, particularly is auditing identifies problems with inadequate saturation of categories. Finally, resonation with the reader of the research paper is an essential form of validation in qualitative research. To facilitative this, the qualitative study should ground the findings in many illustrative examples, so readers may make their own judgements.