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How can we judge good research

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Co-existence with positivism. Definition as positivism's polar opposite ... ER cuts across several disciplines each with its own methodologies ... – PowerPoint PPT presentation

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Title: How can we judge good research


1
How can we judge good research ?
Radha Ravindran Koh Puay Kiang Teo Ting Ting Manu
Kapur 17/7/00
2
Problems
  • Developing clear and adequate standards
  • Framing QR as alternative paradigm
  • Co-existence with positivism
  • Definition as positivisms polar opposite
  • Making up various dualisms

3
Alternative?
  • Anchor standards in non-positivist framework
  • Frame standards in
  • Logics in use
  • Purposes
  • Judgments
  • Purposes
  • Values
  • That make up research activities

4
Features of Standards
  • Abstract
  • ER cuts across several disciplines each with its
    own methodologies
  • Unable to master all methodologies
  • Deference to discipline specific methodology and
    substance peculiar to disciplines in question

5
Features of Standards
  • Focus on educational issues
  • show evidence of features of educational research
    to justify the term educational
  • Be of value and interest to educators

6
Features of Standards
  • Grounded in nonpositivist epistemological
    perspective
  • Applicable to quantitative qualitative research
  • Quantitative research ought to satisfy the
    nonpositivist standards.

7
Standards - 1
  • Fit between research questions , data collection
    and analysis techniques
  • the data collection techniques employed ought to
    fit, be suitable for answering the research
    question entertained
  • Research questions should drive data collection
    techniques and analysis, not vice-versa.
  • Incumbent upon researchers to give careful
    attention to the value their research questions
    have for informing educational practice then
    ground their methodology in the nature of these
    questions.

8
Standards - 2
  • The effective application of specific data
    collection and analysis techniques
  • Competent application of data collection and
    analysis techniques
  • Immediate low inference conclusions should be
    rendered credible credibility warrant should
    not be suspect.
  • Leading to credible general conclusions, that
    rest on the credibility of low inference
    conclusions.

9
Standards - 3
  • Alertness to and coherence of background
    assumptions
  • Studies to be judged against a background of
    existent knowledge
  • Contradictions in current study compared to
    existent studies need explanation
  • Place role for review of literature

10
Standards - 3
  • Background assumptions should guide the research
    questions and methods in a coherent and
    consistent fashion
  • Question of researchers personal subjectivity
  • Basis for researchers distinctive contribution
  • Derived from joining personal interpretations
    with the data that have been collected and
    analysed
  • Assumptions derived from literature,
    subjectivities need to be made explicit if they
    are to clarify rather than obscure research
    design and findings

11
Standards - 4
  • Overall Warrant
  • Encompasses responding to and balancing the first
    three standards discussed as well as going beyond
    them
  • Most warranted conclusions are those drawn after
    robust and respected theoretical explanations
    have been tentatively applied to the data
    triangulation by theory (Denzill, 1989 Shulman,
    (1988) used to explain research data

12
Value Constraints
  • Conduct of ER is subject to both external and
    internal value constraints (Howe, 1985)

13
External Value Constraints
  • Worth of research for informing and improving
    educational practice so what?
  • E researchers must communicate the value their
    research has for educational purposes.
  • ER conclusions ought to be generally accessible
    to the education community
  • Research process therefore must give attention to
    the nature of the contents and individuals it
    investigates and to which its results might be
    applied

14
Internal Value Constraints
  • Concerns research ethics
  • The way research is conducted vis-à-vis research
    subjects
  • Qualitative research researchers must weigh the
    quality of the data they can gather against
    principles such as confidentiality,privacy
    truth telling
  • RE clearly relevant to evaluating the
    acceptability or legitimacy of research designs
    and procedures

15
Research
  • Scientific
  • Process disciplined in design and action
  • Based on assumptions and values
  • Uses or develops theory
  • Aims to achieve goal of understanding or
    explaining relationships
  • JRM p.5.

16
Goals
  • Policy making
  • Problem solving
  • Increasing understanding
  • Raising questions
  • Evaluating

17
Good Research Characteristics
  • Inference is goal ability to infer beyond
    collected data to something more that is not
    observed (descriptive inference/causal inference)
  • Procedures are public use of explicit public
    methods that enable assessment of reliability.

18
Good Research Characteristics
  • Conclusions are uncertain Researchers have to
    have an estimate of how certain or uncertain
    their work is to be a science as inference is
    imperfect and uncertainty the outcome of all
    research
  • Content is method validity depends on set of
    rules of inference content of science - rules
    and methods, used to study anything
  • JRM p.8

19
Questions
The End
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