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Ethics Issues in Qualitative Research

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Title: Ethics Issues in Qualitative Research


1
Ethics Issues in Qualitative Research
2
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  • ???? ??? ??? ???? ????? ????? ???? ????
  • ????? ?????? ?????(Autonomy)
  • ??? ?????(Beneficence)
  • ??? ???? ?????(Non- maleficence)
  • ????? ???? ? ???????(Justice)
  • ????? ????? ??? ????? ????? ???? ? ????? ?? ??
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3
Accepted 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
4
Accepted Principles
Belmont Report
Basic Ethical Principles
Respect for Persons
Beneficence
Justice
5
Epi Talk
Epi Talk
Respect for Persons
Respect individual autonomy (independence,
freedom, capacity for self direction).
Provides extra protection for those
with less autonomy.
6
Basic 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
7
Epi 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.
8
Basic 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
9
Epi Talk
Epi Talk
Justice
Fair distribution of the benefits
of research and the burdens of being a
research subject.
10
Basic 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.

12
Nonmaleficence
  • Participants must not be harmed.

13
Autonomy
  • Researchers must obtain informed consent, and
    informant participation must be voluntary.

14
Informed 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.

16
Process 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.

18
Covert 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.

19
Beneficence and Justice
  • Researchers must assure participants that
    confidentiality and anonymity will be upheld and
    that participants will be treated with dignity
    and respect.

20
Confidentiality 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.

22
Ethical 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.

23
Selection 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.

24
Interpretation 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.

25
Ethics Checklist
26
Phenomenon 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?

27
Review 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?

28
Research design
  • 1. Is the physical and psychological well-being
    of the subjects protected?
  • 2. Is consent freely given?
  • 3. How were vulnerable population recruited?

29
Sampling
  • 1. Is the confidentiality of participants
    protected?

30
Data 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?

31
Data 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?

32
Conclusions andRecommendations
  • 1. Is there evidence of intentional false or
    misleading conclusions and recommendations?
  • 2. Is confidentiality broken given the
    presentation of the findings?

33
opportunistic 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.

37
you 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.)

38
Step 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

40
Step 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.

41
Step 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
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