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[便利抽样与立意抽样的比较]

[A comparison of convenience sampling and purposive sampling].

作者信息

Suen Lee-Jen Wu, Huang Hui-Man, Lee Hao-Hsien

机构信息

Department of Nursing, Chang Jung Christian University, Taiwan, ROC.

Department of Surgery, Chi-Mei Medical Center, Taiwan, ROC.

出版信息

Hu Li Za Zhi. 2014 Jun;61(3):105-11. doi: 10.6224/JN.61.3.105.

Abstract

Convenience sampling and purposive sampling are two different sampling methods. This article first explains sampling terms such as target population, accessible population, simple random sampling, intended sample, actual sample, and statistical power analysis. These terms are then used to explain the difference between "convenience sampling" and purposive sampling." Convenience sampling is a non-probabilistic sampling technique applicable to qualitative or quantitative studies, although it is most frequently used in quantitative studies. In convenience samples, subjects more readily accessible to the researcher are more likely to be included. Thus, in quantitative studies, opportunity to participate is not equal for all qualified individuals in the target population and study results are not necessarily generalizable to this population. As in all quantitative studies, increasing the sample size increases the statistical power of the convenience sample. In contrast, purposive sampling is typically used in qualitative studies. Researchers who use this technique carefully select subjects based on study purpose with the expectation that each participant will provide unique and rich information of value to the study. As a result, members of the accessible population are not interchangeable and sample size is determined by data saturation not by statistical power analysis.

摘要

便利抽样和立意抽样是两种不同的抽样方法。本文首先解释一些抽样术语,如目标人群、可及人群、简单随机抽样、预期样本、实际样本和统计功效分析。然后用这些术语来解释“便利抽样”和立意抽样之间的区别。便利抽样是一种非概率抽样技术,适用于定性或定量研究,不过它在定量研究中使用最为频繁。在便利样本中,研究者更容易接触到的受试者更有可能被纳入。因此,在定量研究中,目标人群中所有合格个体参与的机会并不均等,研究结果也不一定能推广到该人群。与所有定量研究一样,增加样本量会提高便利样本的统计功效。相比之下,立意抽样通常用于定性研究。使用这种技术的研究者会根据研究目的仔细挑选受试者,期望每个参与者都能为研究提供有价值的独特而丰富的信息。因此,可及人群中的成员不可互换,样本量由数据饱和程度决定,而非由统计功效分析决定。

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