Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm

Abstract: Divergent thinking (DT) tests are useful for the assessment of creative potentials. This article reports the semantics-based algorithmic (SBA) method for assessing DT. This algorithm is fully automated: Examinees receive DT questions on a computer or mobile device and their ideas are immediately compared with norms and semantic networks. This investigation compared the scores generated by the SBA method with the traditional methods of scoring DT (i.e., fluency, originality, and flexibility). Data were collected from 250 examinees using the “Many Uses Test” of DT. The most important finding involved the flexibility scores from both scoring methods. This was critical because semantic networks are based on conceptual structures, and thus a high SBA score should be highly correlated with the traditional flexibility score from DT tests. Results confirmed this correlation (r = .74). This supports the use of algorithmic scoring of DT. The nearly-immediate computation time required by SBA .... https://ejop.psychopen.eu/index.php/ejop/article/view/1127

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm ; volume:12 ; number:2 ; day:31 ; month:05 ; year:2016 ; Europe's journal of psychology ; 12, Heft 2 (31.05.2016)

Contributors, Places and Time

• Creator: Kenes Beketayev ; Mark A. Runco

Further information

• DOI: 10.5964/ejop.v12i2.1127
• URN: urn:nbn:de:101:1-2020101417251089441377
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:50 AM CEST