Cognitive Complexity in the Remote Association Test - Chinese Version

Su Pin Hung, Po Sheng Huang, Hsueh Chih Chen

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)442-449
Number of pages8
JournalCreativity Research Journal
Volume28
Issue number4
DOIs
Publication statusPublished - 2016 Oct 1

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Logistic Models
Taiwan
Linear Models
C-test

All Science Journal Classification (ASJC) codes

  • Visual Arts and Performing Arts
  • Developmental and Educational Psychology
  • Psychology (miscellaneous)

Cite this

Hung, Su Pin ; Huang, Po Sheng ; Chen, Hsueh Chih. / Cognitive Complexity in the Remote Association Test - Chinese Version. In: Creativity Research Journal. 2016 ; Vol. 28, No. 4. pp. 442-449.
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Cognitive Complexity in the Remote Association Test - Chinese Version. / Hung, Su Pin; Huang, Po Sheng; Chen, Hsueh Chih.

In: Creativity Research Journal, Vol. 28, No. 4, 01.10.2016, p. 442-449.

Research output: Contribution to journalArticle

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