Multidimensional Approach to Achievement Validation by Richard J. Shavelson
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Multidimensional Approach to Achievement Validation
By Richard J. Shavelson

A Multidimensional Approach to Achievement Validation

A Special Issue of "Educational Assessment"

Edited by See other recent books by Richard J. Shavelson See other recent books by Robert W. Roeser
Format: Paperback

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Multidimensional Approach to Achievement Validation by Richard J. Shavelson

Book Description

Two of the most interesting conceptual turns in Richard E. Snow's thinking called for: a broadening of the concept of aptitude to include not only cognitive processes, but also affective and cognative processes as essential for understanding academic performance and learning; and an exploration of the possibility that individual differences in learning and achievement emerge from dynamic person-situation transactions that unfold over time. The articles in this special issue address these "big ideas" through the lens of a study of high school students' achievement in science.

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Book Details

ISBN: 9780805896022
ISBN-10: 0805896023
Format: Paperback
(229mm x 152mm x 7mm)
Pages: 128
Imprint: Lawrence Erlbaum Associates Inc
Publisher: Lawrence Erlbaum Associates Inc
Publish Date: 12-Jun-2003
Country of Publication: United States

Books By Author Richard J. Shavelson

Statistical Reasoning for the Behavioral Sciences by Richard J. Shavelson Statistical Reasoning for the Behavioral Sciences, Hardback (January 1996)

This revised edition of this textbook is concerned with both conceptual and procedural knowledge of statistics. It motivates the study of the subject with research design in areas such as psychology, education and sociology, illustrating the uses of statistics in these fields.

Generalizability Theory by Richard J. Shavelson Generalizability Theory, Paperback (July 1991)

Considers generalizability theory, covering such topics as generalizability studies with nested facets and with fixed facets, measurement error and generalizability co-efficients and decision studies with the same and with different designs.

» View all books by Richard J. Shavelson

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