Personalized assessments are of increasing interest because of their potential to lead to more equitable decisions about the examinees. However, one obstacle to the widespread use of personalized assessments is the lack of a measurement toolkit that can be used to analyze data from these assessments. This article takes one step toward building such a toolkit by proposing a validation framework for personalized assessments. The framework is built on the threats-to-validity approach. We demonstrate applications of the suggested framework using the AP 3D Art and Design Portfolio examination and a more restrictive culturally relevant assessment as examples.