评估和确保定性研究可信度的标准

Z. Kakar, Rizwana Rasheed, A. Rashid, Salma Akhter
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摘要

定性数据的可信度一直备受争议,但却得到了支持者的大力支持。然而,定性数据的重要性和价值不容忽视。本文对定性数据的可信度进行了批判性评述。定性研究的可信度可以通过确保研究设计、过程和行动的可信性、可转移性、可依赖性和可遵循性来衡量。由于定性研究的主观性,保证定性研究的可信度比定量研究更为复杂。许多研究人员和专家否认定性研究的普遍性。不过,也有少数研究者,如 Guba(1985 年),提出了广为接受的模式和策略,以确保定性研究的可信度和可推广性。可信度就像定量分析中的内部效度,提供了有关现象的实际数据。可迁移性显示了研究结果在其他确切性质的背景、人群、群体和环境中的应用程度。如果一项研究的结果能在类似的人群、条件或环境中得到复制,那么研究结果就是可靠的。中立性是指结果的公平程度,包括初始反应的纯洁性和无偏见性。
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CRITERIA FOR ASSESSING AND ENSURING THE TRUSTWORTHINESS IN QUALITATIVE RESEARCH
The trustworthiness of qualitative data has been debatable, yet it has strong support from its supporters. However, the importance and worth of qualitative data cannot be undermined. This paper presents a critical review of the trustworthiness of the qualitative data. The degree of trustworthiness of qualitative research can be measured by ensuring the credibility, transferability, dependability, and conformability of research design, process, and action. The guarantee of trustworthiness in qualitative research is more complex than in quantitative research due to its subjective nature. Many researchers and experts denied the generalizability of qualitative research. However, few researchers, like Guba (1985), developed a widely accepted model and strategies to ensure the trustworthiness and generalizability of qualitative research. Credibility is like internal validity in quantitative analysis and provides the actual data about the phenomenon. Transferability shows the degree of application of the research finding in other exact natures of context, people, groups, and settings. If the findings of one study are replicated in a similar population, condition, or context, then the findings are dependable. Neutrality is the degree of fairness of results consisting of purity of initial responses and bias-free.
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