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Data, epistemic values, and multiple methods in case study research.

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This study explores combining participant observation and qualitative interviews in case study research. It introduces "blended epistemic value validation," a new rationale for using mixed methods to ensure data quality and answer research questions effectively.

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Area of Science:

  • Social Sciences
  • Qualitative Research Methods

Background:

  • Case study research often employs multiple data gathering methods.
  • Common rationales include comprehensiveness and convergent confirmation.
  • The rationale for combining participant observation and qualitative interviews is examined.

Purpose of the Study:

  • To identify the rationale behind the concurrent use of participant observation and qualitative interviews in case study research.
  • To propose a third, overlooked rationale for employing mixed methods in case studies.
  • To introduce the concept of "blended epistemic value validation".

Main Methods:

  • Qualitative analysis of case study research methodologies.
  • Examination of the concurrent use of participant observation and qualitative interviews.
  • Literature review on mixed-methods rationales in case study research.

Main Results:

  • Identified comprehensiveness and convergent confirmation as common rationales.
  • Proposed "blended epistemic value validation" as a significant, overlooked rationale.
  • Demonstrated how complementary evidence from mixed methods enhances data validation.

Conclusions:

  • The concurrent use of participant observation and qualitative interviews offers complementary evidence.
  • This combination strengthens the validation of epistemic values in case study data.
  • "Blended epistemic value validation" provides a robust framework for justifying mixed-methods use in case studies.