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.