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Avoiding common pitfalls in qualitative data collection and transcription.

K L Easton1, J F McComish, R Greenberg

  • 1Valparaiso University, IN 46383, USA.

Qualitative Health Research
|November 7, 2000
PubMed
Summary

Qualitative research trustworthiness is enhanced by minimizing fieldwork errors like equipment failure, environmental hazards, and transcription mistakes during data collection and transcription.

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Area of Science:

  • Social Sciences
  • Qualitative Research Methodology

Background:

  • Qualitative research, including grounded theory, phenomenology, and ethnography, provides rich data but requires rigorous methods for trustworthiness.
  • Ensuring the validity and reliability of qualitative findings is crucial for research consumers.
  • Researchers must actively establish the trustworthiness of their qualitative studies.

Purpose of the Study:

  • To identify common pitfalls in qualitative research data collection and transcription.
  • To discuss strategies for minimizing errors related to equipment failure, environmental hazards, and transcription.
  • To enhance the dependability and trustworthiness of qualitative research findings.

Main Methods:

  • The article reviews potential challenges encountered during fieldwork in qualitative research.

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  • It focuses on three specific areas of potential error: equipment failure, environmental hazards, and transcription errors.
  • Strategies for mitigating these risks are presented.

    • Main Results:

    • Equipment failure can compromise data integrity during recording.
    • Environmental hazards may disrupt fieldwork and data collection.
    • Transcription errors can distort the accuracy of qualitative data.

    Conclusions:

    • Minimizing errors in fieldwork, particularly during data collection and transcription, is essential for enhancing the trustworthiness of qualitative research.
    • Proactive strategies can mitigate risks associated with equipment failure, environmental hazards, and transcription.
    • Strengthened dependability ensures greater confidence in qualitative research outcomes.