I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test scoring, and score reporting. Predictable misuses of AI for…

This article proposes an item exposure control method, which is the extension of the Sympson and Hetter procedure and can provide item exposure control at both the item and test levels. Item exposure rate and test overlap rate are two indices commonly used to track item exposure in computerized adaptive tests. By considering both indices, item…

It is a widely held belief that an anchor test used in equating should be a miniature version (or "minitest") of the tests to be equated; that is, the anchor test should be proportionally representative of the two tests in content and statistical characteristics. This paper examines the scientific foundation of this belief, especially…

As a preliminary step in customizing the Stanford Achievement Test, a study was made to compare the test items at each level with the curriculum objectives of a Florida school district, classifying them as either matching, above or below grade level, or unmatching. Results are shown in table form. (TE)

The appropriate analysis of students' responses to an assessment is an essential step in improving the quality of the assessment itself as well as staff teaching and student learning. Many academics are unfamiliar with the formal processes used to analyze assessment results; the standard statistical methods associated with analyzing the validity…

Presents a study conducted to provide a comparative analysis of five item analysis indices using both IRT and non-IRT indices to describe the characteristics of flagged items and to investigate the appropriateness of logistic regression as an item analysis technique for further studies. The performance of five item analysis indices was examined.…