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：提高组织研究中样本的适当性和质量


技术改变了组织研究人员获取参与者进行研究的方式。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，包括便利性、目的性、基于概率的抽样和滚雪球抽样。我们强调了每种方法的优缺点，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。我们确定了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，作为我们综述的一部分，我们检查了过去 5 年发表在《应用心理学杂志》上的所有实证研究文章的抽样程序，我们根据这些结果的观察得出结论，即组织研究中缺乏方法和样本多样性，过度依赖一些抽样技术， 需要报告抽样的关键方面，以及对参与者质量的担忧。