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SWP32RES Research for Social Work Practice B

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Title: SWP32RES Research for Social Work Practice B


1
SWP32RES Research for Social Work Practice B
  • Lecture 6
  • Data Collection Methods

2
Data collected in human services research will be
collected in two broad forms either
  • 1) Quantitative Symbols (eg. numbers, ,
    priority rankings, statistical test outcomes)
  • 2) Qualitative Symbols (ie. words).

3
There are 4 broad ways in which data can be
gathered in human services research
  • 1 Interviewing
  • 2 Responding to written questions
  • 3 Observing
  • 4 Examining secondary data

4
When do you use a questionnaire and when do you
use an interview?
  • A questionnaire should be chosen when
  • - large numbers are involved
  • - facts rather opinions are sought
  • - data in a standard format is required
  • - wide geographic coverage is required
  • - time for the respondent to reflect could be
    useful

5
- long lists of statements need to be
read - researcher time is at a premium
6
An interview should be chosen when
  • - smaller numbers are involved
  • - the enquiry is exploratory
  • - attitudes are sought
  • - complicated reasons for actions are sought

7
  • - sensitive areas are being explored
  • - complex situations exist
  • - non-verbal responses could be significant
  • - flexibility is required (Fuller Petch
    (1995, p.56)

8
Interviews provide a researcher with a number of
advantages. These are
  • 1. Opportunity to probe - opportunity to expand
    on responses more fully thereby gain more
    in-depth information. Helps to understand
    individual's attitudes and perhaps its origins.
  • 2. High Completion rate - if someone agrees to be
    interviewed they usually complete the actual
    interview.

9
  • 3. Access is provided to additional information
    such as nonverbal behaviour, the respondents
    attitude to the interview, home environment (if
    conducted in their home), and their interaction
    with significant others (based on Gochros, 1988,
    pp.267-9).

10
But there are also disadvantages associated with
interviews
  • 1. Influence of researcher - very presence of
    interviewer will do this (the so-called
    expectancy effect).
  • 2. Potential for recording errors - data can
    be forgotten, distorted or misinterpreted.

11
  • 3. Expense - for training of interviewers and
    travel to respondents (based on Gochros, 1988,
    pp.26-73).

12
There are three choices on the structure of an
interview schedule
  • 1. Structured
  • 2. Semi-structured
  • 3. Unstructured (in-depth)

13
3 Observing
  • Observation revolves around two variables the
    nature of the observer role and whether it is
    structured or unstructured.
  • Observer roles vary along two dimensions
    concealment and degree of participation.
  • Hence roles can have the following combinations

14
  • - concealed, nonparticipating (complete
    observer)
  • - concealed, participating
  • - not concealed, nonparticipating
  • - not concealed, minimal participation
  • - not concealed, participating (participant
    observer)

15
  • But there are also disadvantages and problems
    associated with observation.
  • Kellehear (1993, p.128) provides a comprehensive
    list of these

16
  • 1. Observer bias resulting from selectivity
    (the unusual attracts whilst the familiar is
    taken for granted )
  • 2. Observer bias resulting from other sources
    like fatigue and boredom
  • 3. Inadequate or biased recording

17
  • 4. Generation of large volumes of data
  • 5. Complex or busy patterns which can confuse
  • 6. Emic/etic (insider/outsider) problems if
    observation used alone
  • 7. Limited usefulness in public places

18
  • 8. Population instability
  • - difficulty of keeping tabs on chosen
    subjects
  • - different environments contain different
    people at different times
  • 9. Recall problems if recording not immediate

19
4 Examining Secondary Data
  • There are particular advantages to secondary data
    analysis. These are
  • 1. Provides a potentially comprehensive source
    of data which is not necessarily restricted to
    secondary sources alone.

20
  • 2. Data are often unique
  • 3. Often supplies good sources of longitudinal
    data
  • 4. Data are reliable ie. can easily be
    rechecked and verified by others (These
    points derived from Daly, Kellehear Gliksman,
    1997, p.126)

21
  • 5. Financial costs can be minimal.
  • 6. Nonintrusive.
  • 7. Relatively hassle-free in gaining access
    and permission.

22
There are methodological problems related to this
form of analysis including
  • 1. Generalisability may be limited
  • 2. It artificially categorises ambiguous and
    changing processes
  • 3. Difficult at times to establish
    authenticity
  • 4. Degree to which original measurements are
    accurate - can the data be trusted? Is it
    biased?

23
  • 5. Data that one can secure in a study are
    limited to those recorded in the original
    study report or other document. Sources may
    be incomplete.
  • 6. It can decontextualise behaviour and
    meaning. (Based Daly, Kellehear
    Gliksman, 1997, pp.130-1)
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