Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm
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 com...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
PsychOpen GOLD/ Leibniz Institute for Psychology
2016-05-01
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| Series: | Europe's Journal of Psychology |
| Subjects: | |
| Online Access: | http://ejop.psychopen.eu/article/view/1127 |
| _version_ | 1797967149745045504 |
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| author | Kenes Beketayev Mark A. Runco |
| author_facet | Kenes Beketayev Mark A. Runco |
| author_sort | Kenes Beketayev |
| collection | DOAJ |
| description | 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 method may make it the method of choice, especially when it comes to moderate- and large-scale DT assessment investigations. Correlations between SBA scores and GPA were insignificant, providing evidence of the discriminant and construct validity of SBA scores. Limitations of the present study and directions for future research are offered. |
| first_indexed | 2024-04-11T02:26:39Z |
| format | Article |
| id | doaj.art-25f5aa71bfe24ac8ba743eab0a79769f |
| institution | Directory Open Access Journal |
| issn | 1841-0413 |
| language | English |
| last_indexed | 2024-04-11T02:26:39Z |
| publishDate | 2016-05-01 |
| publisher | PsychOpen GOLD/ Leibniz Institute for Psychology |
| record_format | Article |
| series | Europe's Journal of Psychology |
| spelling | doaj.art-25f5aa71bfe24ac8ba743eab0a79769f2023-01-02T22:35:11ZengPsychOpen GOLD/ Leibniz Institute for PsychologyEurope's Journal of Psychology1841-04132016-05-0112221022010.5964/ejop.v12i2.1127ejop.v12i2.1127Scoring Divergent Thinking Tests by Computer With a Semantics-Based AlgorithmKenes Beketayev0Mark A. Runco1Nazarbayev University, Astana, KazakhstanAmerican Institute of Behavioral Research & Technology, Vista, CA, USADivergent 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 method may make it the method of choice, especially when it comes to moderate- and large-scale DT assessment investigations. Correlations between SBA scores and GPA were insignificant, providing evidence of the discriminant and construct validity of SBA scores. Limitations of the present study and directions for future research are offered.http://ejop.psychopen.eu/article/view/1127Divergent thinkingassessing creativitycreativity testflexibilityideasoriginalitysemantic networksassociative networkscomputer creativityideational fluency |
| spellingShingle | Kenes Beketayev Mark A. Runco Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm Europe's Journal of Psychology Divergent thinking assessing creativity creativity test flexibility ideas originality semantic networks associative networks computer creativity ideational fluency |
| title | Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm |
| title_full | Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm |
| title_fullStr | Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm |
| title_full_unstemmed | Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm |
| title_short | Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm |
| title_sort | scoring divergent thinking tests by computer with a semantics based algorithm |
| topic | Divergent thinking assessing creativity creativity test flexibility ideas originality semantic networks associative networks computer creativity ideational fluency |
| url | http://ejop.psychopen.eu/article/view/1127 |
| work_keys_str_mv | AT kenesbeketayev scoringdivergentthinkingtestsbycomputerwithasemanticsbasedalgorithm AT markarunco scoringdivergentthinkingtestsbycomputerwithasemanticsbasedalgorithm |