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Xiong, Jiawei; Li, Feiming – Educational Measurement: Issues and Practice, 2023
Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…
Descriptors: Scoring, Models, Task Analysis, Learning Processes
Myford, Carol M. – Educational Measurement: Issues and Practice, 2012
Over the last several decades, researchers have studied many and varied aspects of rater cognition. Those interested in pursuing basic research have focused on gaining an understanding of raters' thought processes as they score different types of performances and products, striving to understand how raters' mental representations and the cognitive…
Descriptors: Evidence, Validity, Cognitive Processes, Models
Andrade, Heidi L.; Du, Ying; Wang, Xiaolei – Educational Measurement: Issues and Practice, 2008
The purpose of this study was to investigate the effect of reading a model written assignment, generating a list of criteria for the assignment, and self-assessing according to a rubric, as well as gender, time spent writing, prior rubric use, and previous achievement on elementary school students' scores for a written assignment (N = 116).…
Descriptors: Elementary School Students, Models, Grade 3, Grade 4

Baxter, Gail P.; Glaser, Robert – Educational Measurement: Issues and Practice, 1998
An analytic framework is presented for examining the properties and objectives of assessments and scoring systems piloted in a number of state and district testing programs. The article explores the application of this framework, which considers the cognitive components of competence described in studies of expertise, to the analysis of science…
Descriptors: Cognitive Style, Competence, Intellectual Disciplines, Models

Brennan, Robert L. – Educational Measurement: Issues and Practice, 1998
Explores the relationship between measurement theory and practice, considering five broad categories of: (1) models, assumptions, and terminology; (2) reliability; (3) validity; (4) scaling; and (5) setting performance standards. It must be recognized that measurement is not an end in itself. (SLD)
Descriptors: Educational Assessment, Educational Practices, Measurement Techniques, Models