Sampling Techniques (Probability) for Quantitative Social Science Researchers: A Conceptual Guidelines with Examples

M. M. Rahman, M. Tabash, Aidin Salamzadeh, Selajdin Abduli, Md. Saidur Rahaman
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引用次数: 32

Abstract

Abstract Collecting data using an appropriate sampling technique is a challenging task for a researcher to do. The researchers will be unable to collect data from all possible situations, which will preclude them from answering the study’s research questions in their current form. In light of the enormous number and variety of sampling techniques/methods available, the researcher must be knowledgeable about the differences to select the most appropriate sampling technique/method for the specific study under consideration. In this context, this study also looks into the basic concepts in probability sampling, kinds of probability sampling techniques with their advantages and disadvantages. Social science researchers will benefit from this study since it will assist them in choosing the most suitable probability sampling technique(s) for completing their research smoothly and successfully.
定量社会科学研究人员的抽样技术(概率):附示例的概念指南
使用适当的抽样技术收集数据对研究人员来说是一项具有挑战性的任务。研究人员将无法从所有可能的情况中收集数据,这将使他们无法以当前的形式回答该研究的研究问题。鉴于可用的采样技术/方法数量众多,种类繁多,研究人员必须了解这些差异,以便为所考虑的具体研究选择最合适的采样技术/方法。在此背景下,本研究还探讨了概率抽样的基本概念、各种概率抽样技术及其优缺点。社会科学研究人员将受益于这项研究,因为它将帮助他们选择最合适的概率抽样技术(s)来顺利和成功地完成他们的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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