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Cluster analysis identifies distinct groups among students, showing creativity may inform program enrollment decisions.
This study examined characteristics of 458 Grade 10 students who earned a Bachelor of Science degree in computer science while completing their secondary school studies. Cluster analysis of SAT-M and Raven Progressive Matrices Test scores identified four distinct groups: G-EM: generally gifted, excelling in mathematics; AG-AEM: averagely gifted, average mathematical excellence; AG-NEM: averagely gifted, non-excelling in mathematics; NG-AEM: not generally gifted, average mathematical excellence. The G-EM group demonstrated significantly higher general and mathematical creativity compared to all other groups. Post-hoc analysis revealed cluster-dependent and task-dependent correlations between measured criteria. Results suggest creativity levels could serve as an effective criterion for program enrollment decisions.
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Markovitz et al. (2025) studied this question.
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