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ERIC Number: EJ1093522
Record Type: Journal
Publication Date: 2016
Pages: 19
Abstractor: As Provided
ISSN: EISSN-2375-5636
Assessing Higher-Order Cognitive Constructs by Using an Information-Processing Framework
Dickison, Philip; Luo, Xiao; Kim, Doyoung; Woo, Ada; Muntean, William; Bergstrom, Betty
Journal of Applied Testing Technology, v17 n1 p1-19 2016
Designing a theory-based assessment with sound psychometric qualities to measure a higher-order cognitive construct is a highly desired yet challenging task for many practitioners. This paper proposes a framework for designing a theory-based assessment to measure a higher-order cognitive construct. This framework results in a modularized yet unified assessment development system which includes elements spanning from construct conceptualization to model validation. The paper illustrates how to implement this framework by using the construct of nursing clinical judgment. Using this framework, many difficult design decisions can be made with strong theoretical rationales. The framework is also flexible to accommodate modifications and extensions that will be required to be made to the assessment as new knowledge related to the construct is generated over time. The goal of this framework is to provide practitioners with a practical and accessible methodology to assess sophisticated constructs on the ground of cognitive theories of the construct, especially by using technology enhanced items.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A