1.13: 方便抽样方法

Convenience Sampling Method
JoVE Core
Statistics
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JoVE Core Statistics
Convenience Sampling Method

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00:55 min
April 30, 2023

Overview

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.

Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing study related to a new software launch conducted by a computer software store by interviewing the customers is an example of convenience sampling. The results of convenience sampling may be perfect in some cases and highly biased (favor specific outcomes) in others.

Convenience sampling lacks accuracy since it does not consider the actual representation of the population. However, sometimes, it is the only possible sampling method available. For example, consider a college student doing a term project who wants to know the average soda consumption in the college town on Friday night. He goes to a nearby party to survey soda consumption.  If the college town has a small population, mainly consisting of students, and a graduation party is chosen for the survey, the sample has a fair chance to represent the population.

This text is adapted from Openstax, Introductory Statistics, Section 1.2 Data, Sampling, and Variation in Data and Sampling

Transcript

便利采样是一种常见的样本采集方法,其中样本被抽取,因为它们很容易获得。

例如,店主希望获得有关所售产品的反馈。最简单的方法之一是向恰好在他的商店里的顾客提问。

在社交媒体、购物中心或校园内随机进行的调查是便利采样的几个例子。

这种方法通常是有利的——样品易于获得,该方法具有成本效益,并且花费的时间更少。此方法可用于进行试点研究或生成假设。

但是,通过这种方法提取的样本具有高度偏差,不能准确代表总体,并且未考虑可能影响受试者回答的所有因素。

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