(Redirected from
Divergent Association Test (DAT))
 | The topic of this article may not meet Wikipedia's
general notability guideline. (November 2021) |
The Divergent Association Task (DAT), published [1] in July 2021, is a psychological test designed to measure a person's creativity. The task involves naming ten nouns that differ as much as possible from each other. Here, the difference between two terms is understood in the semantic sense and is calculated by a special algorithm. [2] [3]
The test specifically measures a component of creativity called divergent thinking, which is the ability to find different solutions to open-ended problems. [4]
There is an online version of the task [5] created by the authors who developed the DAT (Jay A. Olson, Johnny Nahas, Denis Chmoulevitch, Simon J. Cropper, Margaret E. Webb).
References
- ^ Olson, Jay A.; Nahas, Johnny; Chmoulevitch, Denis; Cropper, Simon J.; Webb, Margaret E. (22 June 2021). "Naming unrelated words predicts creativity". Proceedings of the National Academy of Sciences. 118 (25): e2022340118. doi: 10.1073/pnas.2022340118. PMC 8237676. PMID 34140408.
- ^ Beketayev, Kenes; Runco, Mark A. (31 May 2016). "Scoring divergent thinking tests by computer with a semantics-based algorithm". Europe's Journal of Psychology. 12 (2): 210–220. doi: 10.5964/ejop.v12i2.1127. PMC 4894287. PMID 27298632.
- ^ Pennington, Jeffrey; Socher, Richard; Manning, Christopher (2014). "Glove: Global Vectors for Word Representation". Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 1532–1543. CiteSeerX 10.1.1.645.8863. doi: 10.3115/v1/D14-1162. S2CID 1957433.
- ^ Hunt, Katie (14 July 2021). "This simple word test reveals how creative you are, scientists say". CNN.
- ^ Online DAT
Further reading
- Cropley, David H; Marrone, Rebecca L (7 October 2021).
"Automated Scoring of Figural Creativity using a Convolutional Neural Network".
doi:
10.31234/osf.io/8qe7y.
S2CID
240538081.
{{ cite journal}}: Cite journal requires|journal=( help) - Beaty, Roger E.; Johnson, Dan R. (1 April 2021). "Automating creativity assessment with SemDis: An open platform for computing semantic distance". Behavior Research Methods. 53 (2): 757–780. doi: 10.3758/s13428-020-01453-w. PMC 8062332. PMID 32869137.
- Rafner, Janet; Biskjær, Michael Mose; Zana, Blanka; Langsford, Steven; Bergenholtz, Carsten; Rahimi, Seyedahmad; Carugati, Andrea; Noy, Lior; Sherson, Jacob (23 September 2021). "Digital Games for Creativity Assessment: Strengths, Weaknesses and Opportunities". Creativity Research Journal. 34: 28–54. doi: 10.1080/10400419.2021.1971447. S2CID 244173232.
- Rafner, Janet (2021). "Creativity assessment games and crowdsourcing". Creativity and Cognition. pp. 1–5. doi: 10.1145/3450741.3467465. ISBN 978-1-4503-8376-9. S2CID 235474176.
- Gerwig, Anne; Miroshnik, Kirill; Forthmann, Boris; Benedek, Mathias; Karwowski, Maciej; Holling, Heinz (20 April 2021). "The Relationship between Intelligence and Divergent Thinking—A Meta-Analytic Update". Journal of Intelligence. 9 (2): 23. doi: 10.3390/jintelligence9020023. PMC 8167550. PMID 33923940.
- Zeng, Liang; Proctor, Robert W.; Salvendy, Gavriel (4 February 2011). "Can Traditional Divergent Thinking Tests Be Trusted in Measuring and Predicting Real-World Creativity?". Creativity Research Journal. 23 (1): 24–37. doi: 10.1080/10400419.2011.545713. S2CID 11322958.
(Redirected from
Divergent Association Test (DAT))
| The topic of this article may not meet Wikipedia's
general notability guideline. (November 2021) |
The Divergent Association Task (DAT), published [1] in July 2021, is a psychological test designed to measure a person's creativity. The task involves naming ten nouns that differ as much as possible from each other. Here, the difference between two terms is understood in the semantic sense and is calculated by a special algorithm. [2] [3]
The test specifically measures a component of creativity called divergent thinking, which is the ability to find different solutions to open-ended problems. [4]
There is an online version of the task [5] created by the authors who developed the DAT (Jay A. Olson, Johnny Nahas, Denis Chmoulevitch, Simon J. Cropper, Margaret E. Webb).
References
- ^ Olson, Jay A.; Nahas, Johnny; Chmoulevitch, Denis; Cropper, Simon J.; Webb, Margaret E. (22 June 2021). "Naming unrelated words predicts creativity". Proceedings of the National Academy of Sciences. 118 (25): e2022340118. doi: 10.1073/pnas.2022340118. PMC 8237676. PMID 34140408.
- ^ Beketayev, Kenes; Runco, Mark A. (31 May 2016). "Scoring divergent thinking tests by computer with a semantics-based algorithm". Europe's Journal of Psychology. 12 (2): 210–220. doi: 10.5964/ejop.v12i2.1127. PMC 4894287. PMID 27298632.
- ^ Pennington, Jeffrey; Socher, Richard; Manning, Christopher (2014). "Glove: Global Vectors for Word Representation". Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 1532–1543. CiteSeerX 10.1.1.645.8863. doi: 10.3115/v1/D14-1162. S2CID 1957433.
- ^ Hunt, Katie (14 July 2021). "This simple word test reveals how creative you are, scientists say". CNN.
- ^ Online DAT
Further reading
- Cropley, David H; Marrone, Rebecca L (7 October 2021).
"Automated Scoring of Figural Creativity using a Convolutional Neural Network".
doi:
10.31234/osf.io/8qe7y.
S2CID
240538081.
{{ cite journal}}: Cite journal requires|journal=( help) - Beaty, Roger E.; Johnson, Dan R. (1 April 2021). "Automating creativity assessment with SemDis: An open platform for computing semantic distance". Behavior Research Methods. 53 (2): 757–780. doi: 10.3758/s13428-020-01453-w. PMC 8062332. PMID 32869137.
- Rafner, Janet; Biskjær, Michael Mose; Zana, Blanka; Langsford, Steven; Bergenholtz, Carsten; Rahimi, Seyedahmad; Carugati, Andrea; Noy, Lior; Sherson, Jacob (23 September 2021). "Digital Games for Creativity Assessment: Strengths, Weaknesses and Opportunities". Creativity Research Journal. 34: 28–54. doi: 10.1080/10400419.2021.1971447. S2CID 244173232.
- Rafner, Janet (2021). "Creativity assessment games and crowdsourcing". Creativity and Cognition. pp. 1–5. doi: 10.1145/3450741.3467465. ISBN 978-1-4503-8376-9. S2CID 235474176.
- Gerwig, Anne; Miroshnik, Kirill; Forthmann, Boris; Benedek, Mathias; Karwowski, Maciej; Holling, Heinz (20 April 2021). "The Relationship between Intelligence and Divergent Thinking—A Meta-Analytic Update". Journal of Intelligence. 9 (2): 23. doi: 10.3390/jintelligence9020023. PMC 8167550. PMID 33923940.
- Zeng, Liang; Proctor, Robert W.; Salvendy, Gavriel (4 February 2011). "Can Traditional Divergent Thinking Tests Be Trusted in Measuring and Predicting Real-World Creativity?". Creativity Research Journal. 23 (1): 24–37. doi: 10.1080/10400419.2011.545713. S2CID 11322958.