In this final contribution to the issue, we discuss the important concept of generalizability and how it relates to applied linguists’ ability to serve language learners of all shades and grades. We provide insight into how biased sampling in Applied Linguistics currently is and how such bias may skew the knowledge that we, applied linguists, are building about second language learning and instruction. For example, our conclusions are often framed as universally-applying, even though the samples that have given rise to them are highly specific and Western, Educated, Industrialized, Rich, and Democratic (WEIRD; Henrich, Heine, & Norenzayan, 2010). We end with a call for research and replication in more diverse contexts and with more diverse samples to promote progress in the field of Applied Linguistics as ARAL celebrates its 40th anniversary.

中文翻译：

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应用语言学中的抽样偏差和泛化问题

在对这个问题的最后贡献中，我们讨论了可概括性的重要概念，以及它与应用语言学家为各种色调和等级的语言学习者服务的能力之间的关系。我们深入了解当前应用语言学中的抽样偏差如何，以及这种偏差如何扭曲我们应用语言学家正在建立的关于第二语言学习和教学的知识。例如，我们的结论通常被认为是普遍适用的，尽管产生它们的样本是高度具体的、西方的、受过教育的、工业化的、富有的和民主的（WEIRD；Henrich、Heine 和 Norenzayan，2010 年）。最后，我们呼吁在更多样化的背景下进行研究和复制，并提供更多样的样本，以促进应用语言学领域的进步阿拉尔庆祝其 40th周年纪念日。