This commentary focuses on one of the positive impacts of COVID-19, which was to tie societal inequity to testing in a manner that could motivate the reimagining of our field. That reimagining needs to account for our nation's dramatically changing demographics so that assessment generally, and standardized testing specifically, better fit the…

For some students, standardized tests serve as a conduit to disclose sensitive issues of harm or distress that may otherwise go unreported. By detecting this writing, known as "crisis papers," testing programs have a unique opportunity to assist in mitigating the risk of harm to these students. The use of machine learning to…

In this article we address the mounting criticism and rejection of standardized tests used in the selection of students for college or university education. Admission tests are being increasingly demonized in many parts of the world and many colleges and universities are dropping tests for selection purposes, claiming the tests are detrimental to…

Reflecting upon the experience serving on the University of California's Standardized Testing Task Force, and drawing lessons learned, I argue that the COVID-19 pandemic has merely served to accelerate the trend of US higher education institutions moving away from current standardized tests. New educational assessments will continue to be…

Selection decisions have a major impact on our education, occupation, and quality of life, and the role of standardized tests in selection has always been a source of controversy. Here, I consider various definitions of fairness in measurement and selection--those emerging from within educational measurement and statistics, those from philosophy,…

Extensive research has examined the validity and fairness of standardized tests in academic admissions. However, due to their underrepresentation in higher education, American Indians have gained much less attention in this research. In the present study, we examined for American Indian students (1) group differences on SAT scores, (2) the…

Making causal inferences from a quasi-experiment is difficult. Sensitivity analysis approaches to address hidden selection bias thus have gained popularity. This study serves as an introduction to a simple but practical form of sensitivity analysis using Monte Carlo simulation procedures. We examine estimated treatment effects for a school-based…

The literature on differential prediction of college performance of racial/ethnic minority students for standardized tests and high school grades indicates the use of these predictors often results in overprediction of minority student performance. However, these studies typically involve native English-speaking students. In contrast, a smaller…