“ Sampling Strategies ”
“ Sampling Strategies ”
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DOI：
10.18356/5191cd3f-en
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Kandace J. Landreneau
中科院分区：
文献类型：
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作者：
Kandace J. Landreneau
什么是抽样策略？策略是你制定的计划，以确保你在研究中使用的样本代表了你抽取样本的总体。例如，如果你的研究包括活体捐赠者，那么你选择的策略将有助于支持他们是所有活体捐赠者的代表。作为介绍，有一些与抽样相关的术语：总体、样本、抽样框架、资格标准、纳入标准、排除标准、代表性、抽样设计、抽样偏差、抽样误差、功率分析、效应大小和损耗。抽样类型包括方便抽样、偶然抽样、滚雪球抽样、配额抽样、目的抽样、简单随机抽样和整群抽样。抽样过程的部分和研究人员使用的术语有时重叠，任何研究人员都会发现熟悉上面列出的术语是有帮助的。在本简报中，我们将只关注抽样策略。
What are sampling strategies? The strategy is the plan you set forth to be sure that the sample you use in your research study represents the population from which you drew your sample. For example, if your study included the living donors then the strategy you chose to enter them would help support that they are representative of all living donors. As an introduction, there are terms associated with sampling: population, sample, sampling frame, eligibility criteria, inclusion criteria, exclusion criteria, representativeness, sampling designs, sampling bias, sampling error, power analysis, effect size, and attrition. Types of sampling include convenience, accidental, snowball, quota sample, purposive sampling, simple random sampling and cluster sampling,. The parts of the sampling process and terms used by researchers sometimes overlap and any researcher will find it helpful to become familiar with the terms listed above. Within this fact sheet, we will focus only on sampling strategies.