Title: Ethics Issues in Qualitative Research
1Ethics Issues in Qualitative Research
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3Accepted Principles
The Belmont Report Office of the
Secretary Ethical Principles and Guidelines for
the Protection of Human Subjects of
Research The National Commission for the
Protection of Human Subjects of Biomedical and
Behavioral Research April 18, 1979
4Accepted Principles
Belmont Report
Basic Ethical Principles
Respect for Persons
Beneficence
Justice
5Epi Talk
Epi Talk
Respect for Persons
Respect individual autonomy (independence,
freedom, capacity for self direction).
Provides extra protection for those
with less autonomy.
6Basic Ethical Principles
Rules for Ensuring Respect for Persons
Informed Consent
Complete information about study and potential
risks
Understand information
Voluntary participation
Withdraw at any time
7Epi Talk
Epi Talk
Beneficence
An effort to secure peoples
well-being.
A decision about when it is justifiable to
seek certain benefits despite the
risks involved.
8Basic Ethical Principles
Rules for ensuring Beneficence
Risk / Benefit Assessment
Consider all types of potential harms
Benefits to participants and / or to society
Brutal or inhumane treatment is never justified
9Epi Talk
Epi Talk
Justice
Fair distribution of the benefits
of research and the burdens of being a
research subject.
10Basic Ethical Principles
Rules for Ensuring Justice
Subject Selection
Selection process and outcome must be fair
Avoid cultural, racial, social or other biases
Avoid choosing convenient or easy to manipulate
participants
11- Although ethical consideration and issues impact
quantitative research, they do so in unique and
more fragile ways in qualitative research. - Ethical implications may be unclear or
unanticipated.
12Nonmaleficence
- Participants must not be harmed.
13Autonomy
- Researchers must obtain informed consent, and
informant participation must be voluntary.
14Informed Consent
- Informed consent means that participants have
adequate information regarding the research are
capable of comprehending the information and
have the power of free choice, enabling them to
consent voluntarily to participate in the
research or decline participation - This definition fits well with quantitative
designs.
15- The open, emerging nature of qualitative research
methods in most cases makes informed consent
impossible, because neither researchers nor
participants can predict exactly how data will
present themselves either through interview or
participant observation.
16Process informed consent(Consensual decision
making)
- This approach requires that researchers, at
varying points in the research process,
reevaluate participants consent to participate
in the study. - Participants must know from the beginning of and
be reminded throughout the investigation that
they have the right of withdraw from the research
study at any time.
17- Common sense plays a large part in renegotiating
informed consent. If our focus should change, we
need to ask participants for permission to change
the first agreement. Continually informing and
asking permission establishes the needed trust to
go on further in an ethical manner.
18Covert Participant Observation
- The use of covert participant observation must be
given serious consideration in the conduct of a
qualitative investigation. Researchers must
consider available alternative solutions for data
generation provided those solutions will maintain
the integrity of the study.
19Beneficence and Justice
- Researchers must assure participants that
confidentiality and anonymity will be upheld and
that participants will be treated with dignity
and respect.
20Confidentiality and Anonymity
- The very nature of data collection in a
qualitative investigation makes anonymity
impossible. The personnel, one-to-one interaction
during the interview process allows researchers
to know the participants in ways that are
impossible and unnecessary in quantitative
designs.
21- Small sample size and thick description provided
in the presentation of the findings can present
problems in maintaining confidentiality.
22Ethical Considerations related to the
researcher-participant Relationship
- The particular data generation strategies
necessitate a close, personal relationship with
participants. The researcher is the tool for data
collection and, as such, comes to know
participants in a personal way. - Researchers must not move from the role of
instrument in the investigation to that of
counselor or therapist.
23Selection of Participants
- An ethical basis for selection would also involve
attention to the inclusion of those whose voices
need to be heard women, minorities, children,
the illiterate, and those with less personal and
professional status. - Social responsibility calls for attention to
diversity.
24Interpretation and Reporting
- Returning final descriptions to participants so
that they may validate that the interpretation of
the interview or observation is authentic. This
procedure can assist researchers in verifying
that there were no serious misinterpretations or
omissions of critical information.
25Ethics Checklist
26Phenomenon of interest
- 1. Is the research study relevant, important, and
most appropriately investigated through a
qualitative design? - 2. Are any aspects of the research or phenomenon
of interest that appear to be misleading either
in terms of the true purpose or misleading to
participants? - 3. Is the research primarily being conducted for
personal gain on the part of the researcher or is
there evidence that the research will somehow
contribute to the greater good?
27Review of the Literature
- 1. Has the literature review been obviously
biased? - 2. Has the researcher concentrated only on the
articles he or she thought to be relevant or has
all the available literature been reviewed? - 3. Has the researcher referenced only those
articles which support his or her ideas? - 4. Is there evidence of plagiarism or quoting out
of context?
28Research design
- 1. Is the physical and psychological well-being
of the subjects protected? - 2. Is consent freely given?
- 3. How were vulnerable population recruited?
29Sampling
- 1. Is the confidentiality of participants
protected?
30Data Generation
- 1. If more than one researcher collected data,
were they adequately prepared? - 2. Is there evidence or falsified or fabricated
data? - 3. Is there intentional use of data collection
methods to obtain biased data? - 4. Was data collection covert? Why?
- 5. Have the participants been mislead with regard
to the nature of the research? - 6. Is there evidence of deception?
31Data Analysis
- 1. Was data analysis conducted by more that one
person? - 2. Is there evidence of data manipulation to
achieve intended findings? - 3. Is there evidence of missing data that may
have been lost or destroyed?
32Conclusions andRecommendations
- 1. Is there evidence of intentional false or
misleading conclusions and recommendations? - 2. Is confidentiality broken given the
presentation of the findings?
33opportunistic maximum variation samplingapproach
34- if a group of people is extreme in several
different ways, it will contain people who are
average in other ways.
35- There are two main occasions for using maximum
variation sampling - When the sample size is very small, or
- When no population information is available (and
it is not difficult to find population members
with the selected characteristics)
36- Often it's useful to have a preliminary
brainstorming session with an initial group of
local informants (who should not be eventual
respondents). Present an initial list of personal
types to them, similar to the above, but suitably
modified for the purpose of your study. Ask them
to come up with some more types of person, and to
tell you if some of the types you invented make
no sense in that area.
37you can use dimensional analysis to create a more
comprehensive list. It's done like this...
- Step 1 is decide what sample size you want. For
example, let's say it's 20. This determines the
number of dimensions 20 is 2 to the power of
what? The closest answer is 4, because 2 x 2 x 2
x 2 16. So you can use 4 dimensions to get 16
cases, then add a few more factors, such as
socially isolated people. (For a sample of 32,
use 5 dimensions, and for 64 use 6. Above 100 or
so, quota sampling usually works better.)
38Step 2
- Step 2 is to decide on those dimensions. Think of
some characteristics of people that (a) differ
widely between people in relation to the subject
you're researching, and (b) are known to a wide
range of other people. For example, if the
subject is how much time people spend listening
to radio, it may not be useful to choose gender
as a dimension, because in most countries men and
women spend about equal time listening to radio.
39- Have a radio at home yes (A) or no (B)
- Have TV at home yes (C) or no (D)
- Stay at home most of the time (E) or away from
home most of the time (F) - How often they talk to others about radio
programs "most days" (G) or "hardly ever" (H) - Taking each of the 4 variables in turn, there are
16 possible categories (2 x 2 x 2 x 2). These
areACEG, ACEH, ACFG, ACFHBCEG, BCEH, BCFG,
BCFHADEG, ADEH, ADFG, ADFHBDEG, BDEH, BDFG,
BDFH
40Step 3
- All you have to do now is find somebody matching
that description - and repeat that task for the
15 other types of people. What if you can't find
people who meet some of those descriptions? This
can happen - for example, it might be hard to
find somebody who stays home most of the time,
and doesn't have radio at home, but talks about
it a lot. In this case, you'll end up with more
than one person in some of the 16 categories. No
great problem just make sure that people in the
same category are very different in some other
way that seems relevant to your study.
41Step 4
- Finally, don't forget to add the 4 people who
seldom communicate with others. That brings your
sample up to 20. You want more than 20? Just add
some more people, as long as they are as
different as possible from each other in some
relevant way