Neil Dorans has made a career of advocating for the examinee. He continues to do so in his NCME career award address, providing a thought-provoking commentary on some current trends in educational measurement that could potentially affect the integrity of test scores. Concerns expressed in the address call attention to a conundrum that faces…

Views on testing--its purpose and uses and how its data are analyzed--are related to one's perspective on test takers. Test takers can be viewed as learners, examinees, or contestants. I briefly discuss the perspective of test takers as learners. I maintain that much of psychometrics views test takers as examinees. I discuss test takers as a…

This National Council on Measurement in Education (NCME) module is designed to help teachers understand test reliability requirements. Focus is on the reliability of scores from teacher-made achievement tests used for interpreting norm-referenced scores. Reliability, factors affecting scores, reliability estimation methods, reliability's relation…

The authors describe the significant contributions of Robert Ebel to educational measurement theory and its applications. A biographical sketch details Ebel's roots and professional resume. His influence on classroom assessment views and procedures are explored. Classic publications associated with validity, reliability, and score interpretation…

The application of generalizability theory to the reliability and error variance estimation for performance assessment scores is discussed. Decision makers concerned with performance assessment need to realize the restrictions that limit generalizability such as limitations that lead to reductions in the number of tasks possible, rater quality,…

This paper discusses standard error of measurement (SEM), the amount of variation or spread in the measurement errors for a test, and gives information needed to interpret test scores using SEMs. SEMs at various score levels should be used in calculating score bands rather than a single SEM value. (SLD)

A sample (N=37) of currently published achievement tests was surveyed as to the availability of five types of technical data: (1) item selection techniques; (2) standardization; (3) types of norms; (4) types of validating data; and (5) types of reliability data. Recommendations for publishers and cautions for test users are given. (BS)

Practices identified by experts as critical variables in eliciting writing samples were checked against 12 randomly selected studies using holistic ratings to derive descriptions of inferential statistical results for described samples. The studies often lacked precise information about these variables, limiting understanding of writing evaluation…