Technology has changed the way that organizational researchers obtain participants for their research studies. Although technology has facilitated the collection of large quantities of data through online platforms, it has also highlighted potential data quality issues for many of our samples. In this article, we review different sampling techniques, including convenience, purposive, probability-based, and snowball sampling. We highlight strengths and weaknesses of each approach to help organizational researchers choose the most appropriate sampling techniques for their research questions. We identify best practices that researchers can use to improve the quality of their samples, including reviewing screening techniques to increase the quality of online sampling. Finally, as part of our review we examined the sampling procedures of all empirical research articles published in the Journal of Applied Psychology in the past 5 years, and we use observations from these results to make conclusions about the lack of methodological and sample diversity in organizational research, the overreliance on a few sampling techniques, the need to report key aspects of sampling, and concerns about participant quality.

中文翻译：

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抽样创新：提高组织研究样本的适当性和质量

技术改变了组织研究人员获取研究参与者的方式。尽管技术促进了通过在线平台收集大量数据，但它也凸显了我们许多样本的潜在数据质量问题。在本文中，我们回顾了不同的抽样技术，包括便利抽样、有目的抽样、基于概率抽样和滚雪球抽样。我们强调每种方法的优点和缺点，以帮助组织研究人员为他们的研究问题选择最合适的抽样技术。我们确定研究人员可以用来提高样本质量的最佳实践，包括审查筛选技术以提高在线采样的质量。最后，作为我们审查的一部分，我们检查了过去 5 年来发表在《应用心理学杂志》上的所有实证研究文章的抽样程序，并利用这些结果的观察结果得出关于组织中缺乏方法论和样本多样性的结论。研究、过度依赖少数抽样技术、报告抽样关键方面的需要以及对参与者质量的担忧。