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ERIC Number: ED518687
Record Type: Non-Journal
Publication Date: 2006-May
Pages: 33
Abstractor: As Provided
Reference Count: 67
ISBN: N/A
ISSN: N/A
Measurement Models as Narrative Structures. CSE Report 680
Mislevy, Robert J.; Huang, Chun-Wei
National Center for Research on Evaluation, Standards, and Student Testing (CRESST)
Advances in cognitive research increase the need for assessment that can address the processes and the strategies by which persons solve problems. Several psychometric models have been introduced to handle claims cast in information-processing terms, explicitly modeling performance in terms of theory-based predictions of performance. Cognitively based item response theory IRT [item response theory] models incorporate features of items that influence persons' responses, and relate these features to response probabilities. A number of these models are discussed in terms of the interplay between the formal characteristics of the probability models and the substantive narratives they support. Examples include the Linear Logistic Test Model, mixtures of IRT models, and multivariate structured IRT models. (Contains 1 table and 7 figures.)
National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 300 Charles E Young Drive N, GSE&IS Building 3rd Floor, Mailbox 951522, Los Angeles, CA 90095-1522. Tel: 310-206-1532; Fax: 310-825-3883; Web site: http://www.cresst.org
Publication Type: Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: National Center for Research on Evaluation, Standards, and Student Testing; University of California, Los Angeles, Center for the Study of Evaluation