The COVID-19 pandemic negatively affected the quality of data from educational testing programs. These data were previously used for many important purposes ranging from placing students in instructional programs to school accountability. In this article, we draw from the research design literature to point out the limitations inherent in…

In the United States, tests are held to high standards of quality. In developing countries such as Malawi, psychometricians must deal with these same high standards as well as several additional pressures such as widespread cheating, test administration difficulties due to challenging landscapes and poor resources, difficulties in reliably scoring…

Presents a procedure for standard setting that involves the cluster analysis of test takers to discover examinee groups that are useful for envisioning marginally competent performance or defining borderline or contrasting groups. Illustrates use of the procedure with a statewide mathematics test, and concludes that cluster analysis is useful in…

The utility of modified item response theory (IRT) models in small sample testing applications was studied. The modified IRT models were modifications of the one- and two-parameter logistic models. One-, two-, and three-parameter models were also studied. Test data were from 4 years of a national certification examination for persons desiring…

Test developers continue to struggle with the technical and logistical problems inherent in assessing achievement across different languages. Many testing programs offer separate language versions of a test to evaluate the achievement of examinees in different language groups. However, comparison of individuals who took different language versions…