操作化
数据收集
非概率抽样
样品(材料)
饱和(图论)
数据质量
样本量测定
心理学
统计
数据科学
计算机科学
医学
数学
工程类
人口
环境卫生
色谱法
认识论
组合数学
哲学
公制(单位)
化学
运营管理
作者
Greg Guest,Arwen Bunce,Laura Johnson
出处
期刊:Field Methods
[SAGE Publishing]
日期:2005-12-23
卷期号:18 (1): 59-82
被引量:16924
标识
DOI:10.1177/1525822x05279903
摘要
Guidelines for determining nonprobabilistic sample sizes are virtually nonexistent. Purposive samples are the most commonly used form of nonprobabilistic sampling, and their size typically relies on the concept of “saturation,” or the point at which no new information or themes are observed in the data. Although the idea of saturation is helpful at the conceptual level, it provides little practical guidance for estimating sample sizes, prior to data collection, necessary for conducting quality research. Using data from a study involving sixty in-depth interviews with women in two West African countries, the authors systematically document the degree of data saturation and variability over the course of thematic analysis. They operationalize saturation and make evidence-based recommendations regarding nonprobabilistic sample sizes for interviews. Based on the data set, they found that saturation occurred within the first twelve interviews, although basic elements for metathemes were present as early as six interviews. Variability within the data followed similar patterns.
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