NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Folger, Timothy D.; Bostic, Jonathan; Krupa, Erin E. – Educational Measurement: Issues and Practice, 2023
Validity is a fundamental consideration of test development and test evaluation. The purpose of this study is to define and reify three key aspects of validity and validation, namely test-score interpretation, test-score use, and the claims supporting interpretation and use. This study employed a Delphi methodology to explore how experts in…
Descriptors: Test Interpretation, Scores, Test Use, Test Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Tong, Ye – Educational Measurement: Issues and Practice, 2022
COVID-19 is disrupting assessment practices and accelerating changes. With special focus on K-12 and credentialing exams, this article describes the series of changes observed during the pandemic, the solutions assessment providers have implemented, and the long-term impact on future practices. Additionally, this article highlights the importance…
Descriptors: COVID-19, Pandemics, Elementary Secondary Education, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Ing, Marsha; Chinen, Starlie; Jackson, Kara; Smith, Thomas M. – Educational Measurement: Issues and Practice, 2021
Despite the ease of accessing a wide range of measures, little attention is given to validity arguments when considering whether to use the measure for a new purpose or in a different context. Making a validity argument has historically focused on the intended interpretation and use. There has been a press to consider both the intended and actual…
Descriptors: Instructional Improvement, Measures (Individuals), Test Validity, Test Interpretation
Peer reviewed Peer reviewed
Direct linkDirect link
Arikan, Serkan; Aybek, Eren Can – Educational Measurement: Issues and Practice, 2022
Many scholars compared various item discrimination indices in real or simulated data. Item discrimination indices, such as item-total correlation, item-rest correlation, and IRT item discrimination parameter, provide information about individual differences among all participants. However, there are tests that aim to select a very limited number…
Descriptors: Monte Carlo Methods, Item Analysis, Correlation, Individual Differences