Measuring Quality in Qualitative Research
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Transcript of Measuring Quality in Qualitative Research
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Measuring the Quality of
QUALITATIVE RESEARCH
Seale, C. (1999). Quality in qualitative research. QualitativeInquiry, 5(4), 465-478.
Thurmond, V. A. (2001). The point of triangulation. Journal of NursingScholarship, 33(3), 253-258.
Presented by
Dr Ponnam Abhilash
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Modernism and Post
ModernismModernism: A tendency to favor
rational thought over metaphysical,
theological explanations
Post Modernism:A tendency in favor
of rejection of objective truths and
formulation of grand theories
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Assessing quality within positivist
(modern) paradigm
Quality of findings CRITERIOLOGY
Validity : Whether what we are measuring equalswhat we intend to measure?
Reliability: Is the measurement accurate?
Evaluating the quality of research reports
Truth value Applicability
Consistency
Neutrality
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Problems in embracing positivist criteria
to assess qualitative (post modern)
research quality
TRUTH VALUE (accuracy)
Positivism Exploration of single objective reality exists
Interpretivism
Exploration of multiple subjective realities thatare constructed within the minds of humanbeings
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Generalizability (f rom sample to popu lat ion)
Positivism:
Promotes development ofgrandtheories
Interpretivism:
Promotes development ofsubstant ivetheoriesapplicable only to the local contexts
Consistency (lack o f con tradic t ion with otheraccepted princ iples/ theories)
Positivism:
Assumes linear causality
Interpretivism:
Multiple and subconscious reasons for causalitywhich cannot be explicitly elaborated
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Neutrality (Unbiasedness)
Positivism: Artificial separation of personal values from
inquiry is possible because researcher is not thepart of methodology
Interpretivism:
Separation not possible because researchertakes active role in data collection and dataanalysis
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Lincoln and Gubas (1985)
Suggestions
Truth value member checks (informantfeed backs)
Generalization
transferability Neutrality auditing (self auditing- self
critical account on research process)
Consistency dependability (peer
auditing)
Authenticity (L & G,1994) fairness(representation of range of realities)
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Triangulation
To use two or more aspects of research
to strengthen the design
to increase the validity of findings
(Campbell & Fiske,
1959)
by
Cancelling out the biases arising from
choosing one aspect over others
(Seale,
1999)
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Different kinds of triangulation
(Thurmond, 2001)
Data Source Triangulation:Variance in events, situations, times, places, and
persons add to the study because of the possibilityof revealing atypical data or the potential of
identifying similar patterns, thus increasing
confidence in the findings (Fielding & Fielding,
1986).
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Investigator Triangulation:Confirmation of data among investigators, withoutprior discussion or collaboration with one another,lends greater credibility to the observations
(Denzin, 1970).
Methodological Triangulation: By using multiple methods, the researcher strives
to decrease the deficiencies and biases that stemfrom any single method (Mitchell, 1986, p. 19)creating the potential for counterbalancing theflaws or the weaknesses of one method with thestrengths of another (p. 21).
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Theoretical Triangulation:Theoretical triangulation is the use of multiple
theories or hypotheses when examining a
phenomenon (Denzin, 1970)
Data-Analysis Triangulation:Data-analysis triangulation is the combination of
two or more methods of analyzing data.
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Conclusions
Enhances the completeness andconfirmation of data in research
findings of qualitative research.
Lends to use of both quantitative and
qualitative strategies in the same
study as a viable option to obtaincomplementary findings and to
strengthen research results.
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Thank you!