Does A Correlation Exist Between Fluid Intelligence And Creativity?

The aim of the study was to investigate the associations between fluid intelligence and creativity among young adults. The sample consisted of 26 university students who were recruited through convenience sampling method. The Raven Standard Progressive Matrices (RSPM) 9 item-form and a divergent thinking test were used to measure fluent intelligence and creativity, respectively. In order to examine the associations between creativity and fluent intelligence correlational analysis was applied. The Pearson’s correlation coefficient revealed that there was no significant relationship between the tests of divergent thinking and RSPM total score. On the other hand, the results showed a significant positive correlation between the RSPM visuospatial factor and both fluency (r=.47, p<.01) and flexibility (r=.41, p<.01) dimensions of the divergent thinking test. As a result, we suggest that certain basic processes regarding fluid intelligence (e.g. visual spatial reasoning) and creativity operate through common and similar mechanisms. Future studies could investigate the association between these constructs by using neuro-imagining method and focus on how these skills can be integrated into real life situations.

___

  • Abraham, A., & Windmann, S. (2007). Creative cognition: the diverse operations and the prospect of applying a cognitive neuroscience perspective. Methods 42, 38–48.
  • Barron, F. (1969). Creative person and creative process. New York: Holt, Rinehart & Winston.
  • Barron, F., & Harrington, D. M. (1981). Creativity, intelligence, and personality. Annual Review of Psychology, 32, 439-476.
  • Benedek, M., Jauk, E., Sommer, M., Arendasy, M., & Neubauer, A. C. (2014). Intelligence, creativity, and cognitive control: The common and differential involvement of executive functions in intelligence and creativity. Intelligence, 46, 73–83.
  • Benedek, M., Jurisch, J., Koschutnig, K., Fink, A., Beaty, R.E. (2020). Elements of creative thought: Investigating the cognitive and neural correlates of association and bi-association processes NeuroImage, 210, 1-10.
  • Bilker, W. B., Hansen, J. A., Brensinger, C. M., Richard, J., Gur, R. E., & Gur, R. C. (2012). Development of abbreviated nine-item forms of the Raven's standard progressive matrices test. Assessment, 19(3), 354–369.
  • Carpenter, P. A., Just, M. A., & Shell, P. (1990). What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test. Psychological Review, 97(3), 404–431.
  • Cattell RB (1967) The theory of fluid and crystallized general intelligence checked at the 5-6 year-old level. Br J Educ Psychol,37(2), 209-24.
  • Chen, Z., De Beuckelaer, A., Wang, X. & Liu, J. (2017). Distinct neural substrates of visuospatial and verbal-analytic reasoning as assessed by Raven’s Advanced Progressive Matrices. Sci Rep 7, 16230.
  • Chermahini S.A., Hickendorff M., & Hommel B. (2012) Development and validity of a Dutch version of the Remote Associates Task: An item-response theory approach. Thinking Skills and Creativity, 7, 177– 186.
  • DeShon, R. P., Chan, D. & Weissbein, D. A. (1995). Verbal overshadowing effects on Raven’s Advanced Progressive Matrices: evidence for multidimensional performance determinants. Intelligence, 21, 135–155.
  • Dietrich, A. (2004). The cognitive neuroscience of creativity. Psychonomic Bulletin & Review, 11, 1011-1026.
  • Downey L.A., Lomas J., Billings C., Hansen K., & Stough C. (2014). Scholastic success: Fluid intelligence, personality, and emotional intelligence. Canadian Journal of School Psychology, 29 (1), 40-53.
  • Gray, J. R., & Thompson, P. M. (2004). Neurobiology of intelligence: Science and ethics. Nature Reviews Neuroscience, 5, 471–482.
  • Guilford, J. P. (1967). The nature of human intelligence. New York: McGraw-Hill.
  • Frith, E., Elbich, D., Christensen, A. P., Rosenberg, M. D., Chen, Q., Silvia, P., … Beaty, R. (2019). Intelligence and Creativity Share a Common Cognitive and Neural Basis.
  • Karakaş S. (2004) BILNOT battery: research and development of neuropsychological tests. Ankara: Dizayn Ofset (in Turkish).
  • Kaufman J.C., Plucker J.A., & Baer J. (2008). Essentials of creativity assessment. Wiley & Sons.
  • Kim K.H. (2005) Can only intelligent people be creative? Journal of Secondary Gifted Education, 16, 57–66.
  • Lynn, R., Allik, J., & Irwing, P. (2004). Sex differences on three factors identified in Raven’s Standard Progressive Matrices. Intelligence, 32, 411–424.
  • Jauk E, Benedek M, Dunst B, Neubauer AC. (2013) The relationship between intelligence and creativity: new support for the threshold hypothesis by means of empirical breakpoint detection. Intelligence, 41(4), 212–221.
  • Jauk, M. Benedek, A.C. Neubauer (2014) The road to creative achievement: A latent variable model of ability and personality predictors. European Journal of Personality, 28, 95-105.
  • LeBoutillier, N., & Marks, D.F. (2003). Mental imagery and creativity: a meta-analytic review study. British Journal of Psychology 94: 29-44.
  • Lohman, D.F. (2000). Complex information processing and intelligence. In R.J. Sternberg (Ed.), Handbook of Intelligence (pp−340). New York, NY, US: Cambridge University Press.
  • Nusbaum E.C., Silvia P.J (2011), Are intelligence and creativity really so different? Fluid intelligence, executive processes, and strategy use in divergent thinking. Intelligence, 39. 36-45.
  • Nusbaum, E. C., Silvia, P. J., & Beaty, R. E. (2014). Ready, set, create: What instructing people to “be creative” reveals about the meaning and mechanisms of divergent thinking. Psychology of Aesthetics, Creativity, and the Arts, 8(4), 423–432
  • Palmiero M., Nori R., Aloisi V., Ferrara M., & Piccardi L. (2015). Domain‐specificity of creativity: A study on the relationship between visual creativity and visual mental imagery. Frontiers in Psychology, 6, 1870
  • Plucker, J.A., & Esping, A. (2015). Intelligence and creativity: A complex but important relationship. Asia Pacific Education Review, 16, 153– 159.
  • Plucker, J. A., Esping, A., Kaufman, J. C., & Avitia, M. J. (2014). Creativity and intelligence. In S. Goldstein, D. Princiotta, & J. A. Naglieri (Eds.), Handbook of intelligence (pp. 283-294). New York, NY: Springer.
  • Raven, J., Raven, J. C., & Court, J. H. (1996). Manual for Raven’s Progressive Matrices and Vocabulary Scales. Oxford: Oxford Psychologists Press.
  • Runco, M. A. (2007). Creativity. San Diego, CA: Academic Press.
  • Palmiero M., Srinivasan N. (2015). Creativity and spatial ability: a critical evaluation. In Manjaly J., Indurkhya B. (Eds.) Cognition, Experience and Creativity, (p.p.189 214). New Delhi: Orient Blackswan.
  • Shi, B., Wang, L., Wang, J., Zhang, M., & Xu, L. (2017). Relationship between divergent thinking and intelligence: An empirical study of the threshold hypothesis with Chinese children. Frontiers in Psychology, 8, 254.
  • Silvia, P. J. (2008). Another look at creativity and intelligence. Exploring higher order models and probable confounds. Personality and Individual Differences, 44, 1012–1021.
  • Silvia, P. J., Winterstein, B. P., Willse, J. T., Barona, C. M., Cram, J. T., Hess, K. I., &… Richard, C. A. (2008). Assessing creativity with divergent thinking tasks: Exploring the reliability and validity of new subjective scoring methods. Psychology of Aesthetics, Creativity, and the Arts, 2, 68-85.
  • Silvia, P. J. (2011). Subjective scoring of divergent thinking: Examining the reliability of unusual uses, instances, and consequences tasks. Thinking Skills and Creativity, 6(1), 24-30.
  • Spearman, C. and Wynn-Jones, L. (1951). Human ability. London: Macmillan
  • Sternberg, R. J. & Lubart, T. I. (1996). Investing in creativity. American Psychologist, 51(7), 677–688.
  • Sternberg, R. J. (1999). The theory of successful intelligence. Review of General Psychology, 3, 292–316.
  • Sternberg, R. J., & Kaufman, S. B. (2011). Cambridge handbook of intelligence. New York, NY: Cambridge University Press.
  • Takeuchi H., Taki Y., Sassa Y., Hashizume H., Sekiguchi A., Fukushima A., & Kawashima R. (2010). White matter structures associated with creativity: evidence from diffusion tensor imaging. Neuroimage, 51, 11–18.
  • Takeuchi H, Taki Y, Hashizume H, Sassa Y, Nagase T, Nouchi R, Kawashima R (2011) Failing to deactivate: the association between brain activity during a working memory task and creativity. Neuroimage, 55, 681–687.
  • Wallach, M. A., & Kogan, N. (1965). Modes of thinking in young children: A study of the creativity-intelligence distinction. New York, NY: Holt, Rinehart & Winston.
  • Williams, J.E. & McCord M.D. (2006) Equivalence of standard and computerized versions of the Raven Progressive Matrices Test. Computers in Human Behaviour, 22(5), 791-800.
  • Van der Ven, A.H.G.S., & Ellis, J. L. (2000). A Rasch analysis of Raven’s standard progressive matrices. Personality and Individual Differences, 29, 45 – 64.