可靠性
自反性
数据收集
一致性(知识库)
定性研究
主题分析
意义(存在)
数据一致性
严厉
计算机科学
定性性质
可信赖性
心理学
认识论
数据科学
社会心理学
社会学
人工智能
社会科学
哲学
软件工程
机器学习
心理治疗师
操作系统
出处
期刊:Field Methods
[SAGE]
日期:2022-02-25
卷期号:34 (3): 240-255
被引量:9
标识
DOI:10.1177/1525822x211069636
摘要
Dependability (also known as consistency) is one of four criteria in rigor and trustworthiness in qualitative research. In this article, the process of establishing consistency is discussed through the lenses of constructivism and interpretivism, as the observed social reality is viewed as epistemologically counter-intuitive. Two strategies were used to establish consistency. First, method, source, and data triangulation were conducted concurrently to overcome differences in data collection methods from two qualitative intrinsic case studies. Second, code and meaning saturation were used in ATLAS.ti to identify similar meanings and interpretations despite different data collection methods. The findings showed that consistency can still be achieved, and similar meanings and interpretations can be established despite different data collection methods.
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