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Cognitive Complexity in the Remote Association Test - Chinese Version.

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Title: Cognitive Complexity in the Remote Association Test - Chinese Version.
Authors: Hung, Su-Pin (AUTHOR), Huang, Po-Sheng (AUTHOR), Chen, Hsueh-Chih (AUTHOR)
Source: Creativity Research Journal. Oct-Dec2016, Vol. 28 Issue 4, p442-449. 8p.
Subjects: Cognitive consistency, Remote associates test, Test validity, Undergraduates, Rasch models
Abstract: The remote association test (RAT) has been applied in various fields; however, evidence of construct validity for the original version and subsequent extensions of the RAT remains limited. This study aimed to elucidate the dimensionality and the relationship between item features and item difficulties for the RAT—Chinese Version (RAT-C) using the Rasch model and the linear logistic test model (LLTM). The revised 30-item RAT-C was administered to 475 undergraduates (263 women and 212 men) in 8 universities in Taiwan. Item features (including types of associations among stimulus words, and frequency and concreteness of target words) were recoded. The analysis found that the RAT-C measured a single latent construct, with all 30 items conforming to the Rasch model’s expectation. Furthermore, according to the LLTM analysis, most item features predicted Rasch item difficulty, suggesting that these features can explain why some items were more difficult than others and can be used to create new items with known item difficulty to tailor the difficulty level for different groups of participants in the future. [ABSTRACT FROM PUBLISHER]
Copyright of Creativity Research Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Cognitive Complexity in the Remote Association Test - Chinese Version.
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  Data: <searchLink fieldCode="AR" term="%22Hung%2C+Su-Pin%22">Hung, Su-Pin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Po-Sheng%22">Huang, Po-Sheng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Hsueh-Chih%22">Chen, Hsueh-Chih</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Creativity+Research+Journal%22">Creativity Research Journal</searchLink>. Oct-Dec2016, Vol. 28 Issue 4, p442-449. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Cognitive+consistency%22">Cognitive consistency</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+associates+test%22">Remote associates test</searchLink><br /><searchLink fieldCode="DE" term="%22Test+validity%22">Test validity</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduates%22">Undergraduates</searchLink><br /><searchLink fieldCode="DE" term="%22Rasch+models%22">Rasch models</searchLink>
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  Label: Abstract
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  Data: The remote association test (RAT) has been applied in various fields; however, evidence of construct validity for the original version and subsequent extensions of the RAT remains limited. This study aimed to elucidate the dimensionality and the relationship between item features and item difficulties for the RAT—Chinese Version (RAT-C) using the Rasch model and the linear logistic test model (LLTM). The revised 30-item RAT-C was administered to 475 undergraduates (263 women and 212 men) in 8 universities in Taiwan. Item features (including types of associations among stimulus words, and frequency and concreteness of target words) were recoded. The analysis found that the RAT-C measured a single latent construct, with all 30 items conforming to the Rasch model’s expectation. Furthermore, according to the LLTM analysis, most item features predicted Rasch item difficulty, suggesting that these features can explain why some items were more difficult than others and can be used to create new items with known item difficulty to tailor the difficulty level for different groups of participants in the future. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of Creativity Research Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/10400419.2016.1229988
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        Text: English
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        PageCount: 8
        StartPage: 442
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      – SubjectFull: Cognitive consistency
        Type: general
      – SubjectFull: Remote associates test
        Type: general
      – SubjectFull: Test validity
        Type: general
      – SubjectFull: Undergraduates
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      – SubjectFull: Rasch models
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      – TitleFull: Cognitive Complexity in the Remote Association Test - Chinese Version.
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              Text: Oct-Dec2016
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