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避免定性数据收集与转录中的常见陷阱。

Avoiding common pitfalls in qualitative data collection and transcription.

作者信息

Easton K L, McComish J F, Greenberg R

机构信息

Valparaiso University, IN 46383, USA.

出版信息

Qual Health Res. 2000 Sep;10(5):703-7. doi: 10.1177/104973200129118651.

Abstract

The subjective nature of qualitative research necessitates scrupulous scientific methods to ensure valid results. Although qualitative methods such as grounded theory, phenomenology, and ethnography yield rich data, consumers of research need to be able to trust the findings reported in such studies. Researchers are responsible for establishing the trustworthiness of qualitative research through a variety of ways. Specific challenges faced in the field can seriously threaten the dependability of the data. However, by minimizing potential errors that can occur when doing fieldwork, researchers can increase the trustworthiness of the study. The purpose of this article is to present three of the pitfalls that can occur in qualitative research during data collection and transcription: equipment failure, environmental hazards, and transcription errors. Specific strategies to minimize the risk for avoidable errors will be discussed.

摘要

定性研究的主观性要求采用严谨的科学方法以确保结果的有效性。尽管诸如扎根理论、现象学和民族志等定性方法能产生丰富的数据,但研究的受众需要能够信任此类研究报告的结果。研究人员有责任通过多种方式确立定性研究的可信度。该领域面临的特定挑战可能会严重威胁数据的可靠性。然而,通过尽量减少实地调查时可能出现的潜在误差,研究人员可以提高研究的可信度。本文旨在介绍定性研究在数据收集和转录过程中可能出现的三个陷阱:设备故障、环境危害和转录错误。还将讨论将可避免误差风险降至最低的具体策略。

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