What is qualitative research? Describes and analysis culture & behavior from the point of view of...
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QUALITATIVE RESEARCH
What is qualitative research? Describes and analysis culture & behavior from the point of view of those being studied (emic perspective) Emphasis is on
What is qualitative research? Describes and analysis culture
& behavior from the point of view of those being studied (emic
perspective) Emphasis is on providing a holistic understanding of
the social setting in which research is conducted Relies on a
research strategy which is flexible and iterative
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What is qualitative research Systematic exploration of illness
requires in-depth interviewing & probing Rapport building
essential for eliciting sensitive information Useful method of
discovering local language usage by which people communicate
Slide 4
What are its uses? QR especially useful for: Exploring a health
problem Identifying local perceptions Identifying relevant
interventions Investigating feasibility, acceptability &
appropriateness of health programs
Slide 5
What are its uses? Developing suitable information, education
& communication Identifying problems in on going interventions
& suggesting solutions Complementing quantitative data by
helping to interpret it Designing more valid survey
instruments
Slide 6
Qualitative Research Techniques Wide range available:
Individual in-depth interviews Semi-structured interviews Focus
group discussions Participant Observation Systematic Interviewing
Techniques
Slide 7
In-Depth Interview Most widely used method of data collection
in cultural anthropology Researcher has some idea of topics to be
covered May use some sort of a topic list or guide But, minimal
control over order in which topics are covered & over
respondents responses Neither specific questions nor range and type
of possible answers pre-defined
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In-depth Interviewing It is informal and conversational Aim is
to get informants to open up Express themselves in their own terms
Key to a successful interview is effective probing Stimulate
respondent to produce more information without introducing own
words, ideas
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Key Elements of Process Introduction Introduce project
Interview Express cultural ignorance Express interest Use local
expressions Closing Thank Informant
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Qualitative Guides Purpose: To identify and provide preliminary
exploration of relevant topics with selected informants
Introduction: Purpose of study, consent Questions: Open-ended;
exploratory, identify local terms Using the Guide: As a starting
point; a set of cues Not to be followed precisely like a structured
survey Yet, we do want to cover topics outlined
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Guidelines for Formulating Questions Avoid yes/no questions eg.
Are you currently ill? Avoid leading questions eg. Do you think
allopathic medicines are the best means of treatment for illnesses?
Use describe tell me about Learn how to rephrase questions
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Main Techniques Be very familiar with the field guide Develop
rapport---informal, conversational style, listen, watch and read
non-verbal expressions, react as appropriate Probe, probe,
probe..
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Probing Techniques Silence uh-huh (nodding) O.K. What else?
Repetition Tell me more about
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Tape recording The Interviews Asking permission Benefits Risks
Minimizing risks Always take written notes as well Monitor the
recording as you go along
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Follow-Up Interview Goal: To probe deeper, more sensitive,
personal topics Read first interview and develop, adjust questions
accordingly Last time we spoke, you mentioned Tell me more
about.
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Ethical Issues Respect the participant All information is
voluntary All information is anonymous Everyone informed of study
risks and benefits before they give permission Protecting
participants from harm Providing information/referrals
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Interview Boundaries Interview versus Education/Counseling Your
role as interviewer: listen, provide information or referral at end
of interview, or stop interview if needed
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In-Depth Interviews Key Informant Interviews A KI is one from
whom we receive extensive information KIs include, experts &
those in positions of authority & also ordinary people
Expertness is based on knowledge of local cultural beliefs &
practices
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Characteristics of A KI KI should be a person: With whom we
have developed a special relationship & have more than one
contact Who provides us with expert information Who are good
observers, who like to talk Who are able to synthesize, analyze,
give thoughtful explanations
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Types of KIs Administrators, leaders, other authorities eg,
government officers, NGO personnel Community based out-reach
workers: eg ANMs, Community health workers Members of the study
population: eg marries & pregnant women, adolescent girls, men
etc.
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Semi-Structured Interviews Effective means of collecting data
suitable for systematic comparisons & testing hypotheses
Ensures that a range of selected items are covered systematically
Structure of interview should create a context that enables rather
than impedes respondents
Slide 22
Semi-Structured Interviews Can also include open-ended
questions These may be followed by more specific probes Interview
may include skip outs Must recognize field conditions importance of
privacy
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Type of information Provides both quantifiable numeric, coded,
as well as qualitative prose data What kind of healers have you
used for skin problems? have you consulted a health worker for a
skin problem? Provision for comments of interviewer about
interview, useful
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Strengths of Semi-Structured Interviews Enables coverage of
wider range of topics systematically May also facilitate
comparisons of qualitative data that are keyed directly to coded
variables Provides opportunities to explain meaning of quantitative
findings
Slide 25
Limitations of Semi-Structured Interviews Demands fund of
knowledge about community & research questions to be studied
Relies on substantial experience specially in research settings
where cultural differences exist
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When to Use Semi-Structured Interviews 1. When single subject
responses are required-unit of analysis is the individual 2. When
measurement is required on certain topics 3. When measurement of
variation in views among study population is required
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Case Studies Also in-depth interviews, but focused on
individuals own actions & explanations Individual illness
episode very useful type of case study, wherein ask: 1. Subject to
tell about entire illness episode 2. Use a checklist of items to
fill in entire sequence of treatment seeking
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3. Get subject to tell about actual encounter with health
provider, use probes 4. Ask for explanations on cause of illness,
reasons for worsening/improvements 5. Re-visit subject for more
details
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Focus group Discussion A carefully planned discussion designed
to obtain perceptions on a defined area of interest in a non-
threatening environment
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Focus group Discussion (Contd) Conducted with 7-8 people by a
skilled interviewer who helps guide the discussion Group should be
homogenous with members being unfamiliar to each other Group
members influence each other by responding to ideas & comments
Ideally discussions should be recorded after obtaining the
permission of the group
Slide 31
Focus Group Discussions Conducted by a moderator, assisted by a
note-taker & an organizer Give ample time for identifying &
recruiting group members Over-include to guard against potential
drop-outs Group proceedings can be recorded after obtaining consent
Notes on body language, socio-gram on group dynamic important
Slide 32
Uses of A Focus Group Discussion 1. Generate information on a
questionnaire 2. Needs assessment 3. Develop/Test new
programs/interventions 4. To gain an understanding of local
beliefs, cultural practices, perceptions, attitudes
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Participant Observation An approach where investigator becomes
active functioning member of culture under study Participates in
activities, observes what others do, attempts to see through eyes
of member of the culture Is a general approach to data collection
involving unstructured interviews and observations Seeks a holistic
view of people and behaviors being observed
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Strengths of Participant Observation Methods help to reduce
reactivity Helps to formulate appropriate & relevant questions
in native language Provides an intuitive understanding of whats
happening in a culture Helps in understanding meaning of data
collected Maximizes ability to make valid statements
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Useful when context is new or not well known Particularly
useful at the beginning of research when problems is not well
understood Useful when situation of interest is obscured or hidden
Especially appropriate for understanding processes, events, norms,
values, context of a social situation
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Weaknesses of Participant Observation Can be time consuming
Researcher must speak the local language Be skilled at observing
details Have good memory Be skilled at writing detailed notes about
what was observed Sometimes increased familiarity with culture
under study makes it difficult to notice things
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Structured Interviewing Techniques Involves exposing every
informant in a sample to the same stimuli These data collection
methods produce data that is quantifiable Aims to describe &
analyze culture & behavior of respondents from their own point
of view Help to isolate & define cultural domains eg: ways to
cure a headache; kinds of cars
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Free Listing Free lists help to isolate & define relevant
domains Simply asks respondents to list as many items as they can
think of in a particular domain Example: Please tell me all the
illnesses that children here get? What are all the different kinds
of drugs that people in your school use?
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Strengths & Weaknesses Useful first step in research
involving definition of new domains Best way to ensure that
concepts & domains are culturally relevant Informants can
usually do the task easily Need to be familiar with culture &
language of informants to identify appropriate domain names to
start listing
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Pile Sorting Aims to study relations among items within a
domain Useful for discovering perceptions on similarities &
differences among items Helps to look at intra-cultural variations
in how informants define domains Informants asked to sort cards
with names of items written into piles or groups according to their
own criteria
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Pile Sort Informants asked to make as many or as few piles as
they wish Once pile sort completed, informant asked to explain the
different piles Example: What do all the items in this pile have in
common? Technique of successive pile sort used to construct
taxonomies which illustrates relations among items
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Taxonomy Based On A Pile Sort Kinds of pets Goldfish Turtle
Rabbit Mouse Parrot Horse Cat Dog Goldfish Turtle Parrot Mouse
Rabbit Dog Cat Horse Goldfish Turtle Parrot
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Strengths & Weaknesses of Pile Sort Can be done using large
number of items Is easy to administer Cannot be used with
non-literate samples unless items are pictures or actual stimuli
Simple hand analysis possible Computerized analysis faster but
requires knowledge of appropriate software
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Sampling Techniques Selection of respondents based on
information they can provide Types of sampling strategies:
Purposive Snowball Convenience Quota Extreme Cases Sample size:
Sample to informational redundancy or sample to saturation
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Qualitative Data Analysis Taped interviews transcribed verbatim
Translated into English Codes assigned to segments to segments of
text Coding framework developed Look for patterns & emerging
themes
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Triangulation Main research tool used are the researchers
themselves Subjective nature of data can open it to criticism A
method to enhance quality of data is through triangulation: Data,
Researcher, Combining qualitative & quantitative methods
Slide 47
Sampling in Qualitative Studies Techniques used vastly
different from quantitative research Logic behind the approach
uniquely different from those of quantitative research
Non-probability sampling techniques used
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Non-Probability Sampling Reasons for using non-probability
sampling: Pilot studies to test questions & scales may not
require representative study Subjects chosen because of special
attributes There may be difficulties in identifying a sampling
frame Aim is not to generalize or extrapolate findings
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Characteristics of Non-Probability Sampling Not specified or
drawn in advance Sample selected in serial fashion and is purposive
in nature Criteria for sampling may change as study progresses
Sampling terminated when information becomes repetitive
(informational redundancy)
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Non-Probability Sampling Techniques (1) Extreme or deviant case
sampling: Learn from highly unusual manifestations of the
phenomenon of interest Maximum variation sampling: Selecting a wide
range of variation on dimensions of interest to identify common
patterns Homogenous Sampling: Selecting similar types to describe a
particular group in-depth
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Non-Probability Sampling Techniques (2) Typical Case Sampling:
Selection of cases that illustrates what is typical or average
Critical Case Sampling: Selecting cases who for some reason are
specially important Snowball Sampling: Subjects recommend others
they know & the snowball gets bigger as more information rich
cases get included
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Non-Probability Sampling Techniques (3) Opportunistic Sampling:
On the spot decisions about sampling to take advantage of new
opportunities during data collection Convenience Sampling:
Selecting whoever is easiest, closest & most convenient to save
time & money The last is least desirable
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Sample Size Qualitative inquiry is rife with ambiguities There
are purposeful strategies instead of methodological rules Seems to
work best for people with a high tolerance for ambiguity
Slide 54
Sample Size (contd) No rules for sample size in qualitative
inquiry Sample size depends on: What you want to know The purpose
of the inquiry Whats at stake What will be useful What will have
credibility What can be done with available resources
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Sample Size (contd) Issue of sample size is a lot like the
problem students have when assigned to write an essay Student: How
long does the paper have to be? Teacher: Long enough to cover the
assignment Student: But how many pages? Teacher: Enough pages to do
justice to the subject no more no less
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Sample Size (contd.) Validity, meaningfulness & insights
generated from equal, inquiry have more to do with
information-richness of cases selected & the
observational/analytical capabilities of the researcher than with
sample size.
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Sample Size (contd) Sampling to the point of redundancy, an
ideal More practical suggestion is to use judgment &
negotiation Specify minimum sample size based on purpose of study
& build a rationale for it Design should be understood to be
flexible Exercise care not to over-generalize
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Contrasting Qualitative and Quantitative Methods
Slide 59
Quantitative Research Philosophy Views social phenomena as
objective & external to the individual These social facts are
studied through the application of the scientific method
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Quantitative Research Basic features are: Hypothesis specified
Research questions formulated Relevant variables operationalized
Data collected using structured questionnaire Data analyzed
statistically Aim to achieve generalizability of results
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Quantitative Research Emphasis placed upon multiple interacting
realities that are studied as a whole Focus is on subjectivity
Relationship between Inquirer and respondent viewed
differently
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Qualitative Research Research is concerned with the generation
& not testing of hypotheses Aim is to see the world through the
eyes of the subjects This requires that data collection are
relatively open & unstructured
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What are Its Uses? QR especially useful for: Exploring a health
problem Identifying local perceptions Identifying relevant
interventions Investigating feasibility, acceptability &
appropriateness of health programs
Slide 64
What are it uses? (contd) Developing suitable information,
education & communication Identifying problems in on going
interventions & suggesting solutions Complementing quantitative
data by helping to interpret it Designing more valid survey
instruments
Slide 65
Combining Qualitative and Quantitative Methods Has been the
subject of heated debate Purists in both camps have argued against
this union In recent times, use of two methods in combination has
gained popularity Different ways in which the two techniques can be
combined
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Qualitative Before Quantitative Qualitative techniques can be
used to provide much needed information when venturing into new
areas Use of qualitative methods to check assumptions and refine
research questions is valuable across & within cultures Also
useful during the development of measurement scales
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Qualitative & Quantitative Together The two can be used
together in the same study to extend & complement findings Both
types of information together will provide a better basis for
planning strategies for prevention
Slide 68
Quantitative Before Qualitative Interpretation of quantitative
findings can draw upon qualitative methods for valuable insights
and illustrations Quantitative studies can yield hard data whose
meaning may be unclear Qualitative studies help to provide clarity
to such data
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Practical Issues Combination of methods demands access to a
wide range of expertise and skills Necessitates need for a team
approach Give careful consideration to design issues Use of
multiple methods may result in data that confirm or contradict each
other Despite potential problems & demanding decisions, can
lead to creative & synergistic research
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Qualitative Quantitative InductiveDeductive
HolisticParticularistic SubjectiveObjective Process orientedOutcome
oriented Relative lack of controlControl variables Goal :
understand actors view Goal : find facts & causes Discovery
orientedVerification oriented ExplanatoryConfirmatory Not
generalizedCan be generalized
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Qualitative Quantitative Deals with individuals Deals with
populations Deals with words, textDeals with numbers Suggests
hypothesistests hypothesis Recognizes individualityGeneralizes
& Of responses/findingsextrapolates findings Methods include
interviews Methods include cohort FGDs, participant
Obscase-control, cross-sectional, RCTs
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Trustable data Stronger data, collected later or after repeated
contact Weaker data, collected early during entry Seen or reported
first handHeard second hand Observed behaviors activitiesReports or
statements
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Trustable Data Trusted Field workerField workers not trusted
Privacy maintained during interviewsNo privacy Reproducibility of
data Triangulation of data