Thanks to COVID-19, schools were closed and tests were canceled. The result is that we may not see test-taking data typically seen before. For some analyses, sample sizes may not meet the minimum requirement. For others, the sample of test-takers may be different from previous years. In some situation, there may be no data at all. What do we do in these and other similar situations? Several ideas are presented in this article. Directions are suggested for not only dealing with challenges like this but also preparing for them.

中文翻译：

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处理非典型样本

由于 COVID-19，学校关闭并取消了考试。结果是我们可能看不到以前通常看到的应试数据。对于某些分析，样本量可能不符合最低要求。对于其他人，应试者的样本可能与往年有所不同。在某些情况下，可能根本没有数据。在这些和其他类似情况下，我们该怎么办？本文提出了几个想法。建议的方向不仅可以应对此类挑战，还可以为它们做好准备。