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Psychometric Modeling Approaches for Understanding Item Response Process in Cognitive and Noncognitive Assessments.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Psychometric Modeling Approaches for Understanding Item Response Process in Cognitive and Noncognitive Assessments./
作者:
Kim, Nana.
面頁冊數:
1 online resource (125 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
Contained By:
Dissertations Abstracts International84-02B.
標題:
Educational tests & measurements. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29259946click for full text (PQDT)
ISBN:
9798837519536
Psychometric Modeling Approaches for Understanding Item Response Process in Cognitive and Noncognitive Assessments.
Kim, Nana.
Psychometric Modeling Approaches for Understanding Item Response Process in Cognitive and Noncognitive Assessments.
- 1 online resource (125 pages)
Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
Thesis (Ph.D.)--The University of Wisconsin - Madison, 2022.
Includes bibliographical references
In educational and psychological assessments, attending to item response process can be useful in understanding and improving the validity of measurement. This dissertation consists of three studies each of which proposes and applies item response theory (IRT) methods for modeling and understanding cognitive/psychological response process in assessment. The first study presents a noncompensatory multidimensional IRT model that reflects underlying components for solving passage-based items in reading comprehension tests. The second study proposes a mixture item response tree (IRTree) model that accommodates the possibility of a mixture of respondents exhibiting different response processes in responding to rating scale items. The third study examines systematic differences in response process across fast and slow item responses by attending to both content trait and response style and their possible differential influences across response types. Each study introduces different modeling approaches for incorporating item response process and discusses their practical implications. The dissertation as a whole contributes to understanding item response process in both cognitive and noncognitive assessments.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798837519536Subjects--Topical Terms:
3168483
Educational tests & measurements.
Subjects--Index Terms:
Psychometric modelingIndex Terms--Genre/Form:
542853
Electronic books.
Psychometric Modeling Approaches for Understanding Item Response Process in Cognitive and Noncognitive Assessments.
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In educational and psychological assessments, attending to item response process can be useful in understanding and improving the validity of measurement. This dissertation consists of three studies each of which proposes and applies item response theory (IRT) methods for modeling and understanding cognitive/psychological response process in assessment. The first study presents a noncompensatory multidimensional IRT model that reflects underlying components for solving passage-based items in reading comprehension tests. The second study proposes a mixture item response tree (IRTree) model that accommodates the possibility of a mixture of respondents exhibiting different response processes in responding to rating scale items. The third study examines systematic differences in response process across fast and slow item responses by attending to both content trait and response style and their possible differential influences across response types. Each study introduces different modeling approaches for incorporating item response process and discusses their practical implications. The dissertation as a whole contributes to understanding item response process in both cognitive and noncognitive assessments.
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