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

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          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 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.

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          Most cited references21

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          The Standard Definition of Creativity

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            Divergent Thinking as an Indicator of Creative Potential

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              In Praise of Convergent Thinking

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                Author and article information

                Journal
                EJOP
                Eur J Psychol
                Europe's Journal of Psychology
                Eur. J. Psychol.
                PsychOpen
                1841-0413
                31 May 2016
                : 12
                : 2
                : 210-220
                Affiliations
                [a ]Nazarbayev University, Astana, Kazakhstan
                [b ]Sparcit, Inc., Davis, CA, USA
                [c ]American Institute of Behavioral Research & Technology, Vista, CA, USA
                [4]Aalborg University, Aalborg, Denmark
                Author notes
                [* ]Torrance Center for Creativity and Talent Development, Aderhold Hall, 110 Carlton Street, Athens, GA, USA. runco@ 123456uga.edu
                Article
                ejop.v12i2.1127
                10.5964/ejop.v12i2.1127
                4894287
                27298632
                f2279536-a736-45ee-a9da-986873c4a1b0
                Copyright @ 2016

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 February 2016
                : 26 April 2016
                Categories
                Research Reports

                Psychology
                creativity test,assessing creativity,flexibility,Divergent thinking,ideational fluency,computer creativity,associative networks,semantic networks,originality,ideas

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