样本量测定
样品(材料)
定性研究
数据收集
定性性质
心理学
计算机科学
统计
数学
社会学
社会科学
物理
热力学
作者
Kirsti Malterud,Volkert Siersma,Ann Dorrit Guassora
标识
DOI:10.1177/1049732315617444
摘要
Sample sizes must be ascertained in qualitative studies like in quantitative studies but not by the same means. The prevailing concept for sample size in qualitative studies is "saturation." Saturation is closely tied to a specific methodology, and the term is inconsistently applied. We propose the concept "information power" to guide adequate sample size for qualitative studies. Information power indicates that the more information the sample holds, relevant for the actual study, the lower amount of participants is needed. We suggest that the size of a sample with sufficient information power depends on (a) the aim of the study, (b) sample specificity, (c) use of established theory, (d) quality of dialogue, and (e) analysis strategy. We present a model where these elements of information and their relevant dimensions are related to information power. Application of this model in the planning and during data collection of a qualitative study is discussed.
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