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Is Cognitive Flexibility Equivalent to Shifting? Investigating Cognitive Flexibility in Multiple Domains Cover

Is Cognitive Flexibility Equivalent to Shifting? Investigating Cognitive Flexibility in Multiple Domains

Open Access
|Oct 2024

References

  1. Arán Filippetti, V., & Krumm, G. (2020). A hierarchical model of cognitive flexibility in children: Extending the relationship between flexibility, creativity and academic achievement. Child Neuropsychology, 26(6), 770800. 10.1080/09297049.2019.1711034
  2. Baudier, L., Gros, H., & Clément, E. (2023, July). Cognitive Flexibility Or Flexibilities? New Insights From A Classroom Study. Cognitive Science Society Annual Conference (COGSCI 2023). 10.31234/osf.io/e5yps
  3. Behrens, J. P., & Olteţeanu, A.-M. (2020). Are All Remote Associates Tests Equal? An Overview of the Remote Associates Test in Different Languages. Frontiers in Psychology, 11. https://www.frontiersin.org/articles/10.3389/fpsyg.2020.01125
  4. Benjamin, A., & Shermer, M. (2006). Secrets of mental math: The mathemagician’s guide to lightning calculation and amazing math tricks. Three Rivers Press.
  5. Best, J. R., Miller, P. H., & Jones, L. L. (2009). Executive functions after age 5: Changes and correlates. Developmental Review, 29(3), 180200. 10.1016/j.dr.2009.05.002
  6. Bowden, E. M., & Jung-Beeman, M. (2003). Normative data for 144 compound remote associate problems. Behavior Research Methods, Instruments, & Computers, 35(4), 634639. 10.3758/BF03195543
  7. Bunge, S. A. (2024). How Should We Slice Up the Executive Function Pie? Striving Toward an Ontology of Cognitive Control Processes. Mind, Brain, and Education, 18(1), 1727. 10.1111/mbe.12403
  8. Byron, K., & Khazanchi, S. (2011). A Meta-Analytic Investigation of the Relationship of State and Trait Anxiety to Performance on Figural and Verbal Creative Tasks. Personality and Social Psychology Bulletin, 37(2), 269283. 10.1177/0146167210392788
  9. Cai, D. J., Mednick, S. A., Harrison, E. M., Kanady, J. C., & Mednick, S. C. (2009). REM, not incubation, improves creativity by priming associative networks. Proceedings of the National Academy of Sciences, 106(25), 1013010134. 10.1073/pnas.0900271106
  10. Cao, T., Wang, L., Sun, Z., Engel, S. A., & He, S. (2018). The Independent and Shared Mechanisms of Intrinsic Brain Dynamics: Insights From Bistable Perception. Frontiers in Psychology, 9. https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00589
  11. Chamberlain, R., Swinnen, L., Heeren, S., & Wagemans, J. (2018). Perceptual flexibility is coupled with reduced executive inhibition in students of the visual arts. British Journal of Psychology, 109(2), 244258. 10.1111/bjop.12253
  12. Chung, S.-H., Su, Y.-F., & Su, S.-W. (2012). The Impact of Cognitive Flexibility on Resistance to Organizational Change. Social Behavior and Personality: An International Journal, 40(5), 735745. 10.2224/sbp.2012.40.5.735
  13. Cragg, L., & Chevalier, N. (2012). The processes underlying flexibility in childhood. Quarterly Journal of Experimental Psychology, 65(2), 209232. 10.1080/17470210903204618
  14. Crone, E. A., Bunge, S. A., Van Der Molen, M. W., & Ridderinkhof, K. R. (2006). Switching between tasks and responses: A developmental study. Developmental Science, 9(3), 278287. 10.1111/j.1467-7687.2006.00490.x
  15. Cunningham, J. B., MacGregor, J. N., Gibb, J., & Haar, J. (2009). Categories of insight and their correlates: An exploration of relationships among classic-type insight problems, rebus puzzles, remote associates and esoteric analogies. The Journal of Creative Behavior, 43(4), 262280. 10.1002/j.2162-6057.2009.tb01318.x
  16. Deák, G. O. (2003). The Development of Cognitive Flexibility and Language Abilities. In Advances in child development and behavior, Vol. 31 (pp. 271327). Academic Press. 10.1016/S0065-2407(03)31007-9
  17. Deák, G. O., & Bauer, P. J. (1996). The Dynamics of Preschoolers’ Categorization Choices. Child Development, 67(3), 740767. 10.1111/j.1467-8624.1996.tb01762.x
  18. Denham, S. L., Farkas, D., Van Ee, R., Taranu, M., Kocsis, Z., Wimmer, M., … & Winkler, I. (2018). Similar but separate systems underlie perceptual bistability in vision and audition. Scientific reports, 8(1), 7106. 10.1038/s41598-018-25587-2
  19. Diamond, A. (2006). The Early Development of Executive Functions. In Lifespan cognition: Mechanisms of change (pp. 7095). Oxford University Press. 10.1093/acprof:oso/9780195169539.003.0006
  20. Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64, 135168. 10.1146/annurev-psych-113011-143750
  21. Díaz-Santos, M., Mauro, S., Cao, B., Yazdanbakhsh, A., Neargarder, S., & Cronin-Golomb, A. (2017). Bistable perception in normal aging: Perceptual reversibility and its relation to cognition. Aging, Neuropsychology, and Cognition, 24(2), 115134. 10.1080/13825585.2016.1173646
  22. Dietrich, A., & Kanso, R. (2010). A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychological Bulletin, 136(5), 822848. 10.1037/a0019749
  23. Endress, A. D. (2019). Duplications and domain-generality. Psychological Bulletin, 145(12), 1154. 10.1037/bul0000213
  24. Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological methods, 4(3), 272. 10.1037/1082-989X.4.3.272
  25. Flavell, J. H., Flavell, E. R., & Green, F. L. (1983). Development of the appearance-reality distinction. Cognitive Psychology, 15(1), 95120. 10.1016/0010-0285(83)90005-1
  26. Galla, B. M., Plummer, B. D., White, R. E., Meketon, D., D’Mello, S. K., & Duckworth, A. L. (2014). The Academic Diligence Task (ADT): Assessing individual differences in effort on tedious but important schoolwork. Contemporary Educational Psychology, 39(4), 314325. 10.1016/j.cedpsych.2014.08.001
  27. Garon, N., Bryson, S. E., & Smith, I. M. (2008). Executive function in preschoolers: A review using an integrative framework. Psychological Bulletin, 134(1), 3160. 10.1037/0033-2909.134.1.31
  28. Guilford, J. (1967). Nature of Human Intelligence. New York, NY: McGraw Hill.
  29. Guilford, J. P., Christensen, P. R., Merrifield, P. R., & Wilson, R. C. Alternate uses: Manual of instructions and interpretations. Orange, CA: Sheridan Psychological Services, 1978.
  30. Hopko, D. R., Mahadevan, R., Bare, R. L., & Hunt, M. K. (2003). The Abbreviated Math Anxiety Scale (AMAS): Construction, Validity, and Reliability. Assessment, 10(2), 178182. 10.1177/1073191103010002008
  31. Howlett, C. A., Wewege, M. A., Berryman, C., Oldach, A., Jennings, E., Moore, E., Karran, E. L., Szeto, K., Pronk, L., Miles, S., & Moseley, G. L. (2022). Back to the drawing board—The relationship between self-report and neuropsychological tests of cognitive flexibility in clinical cohorts: A systematic review and meta-analysis. Neuropsychology, 36(5), 347372. 10.1037/neu0000796
  32. Huizinga, M., Dolan, C. V., & van der Molen, M. W. (2006). Age-related change in executive function: Developmental trends and a latent variable analysis. Neuropsychologia, 44(11), 20172036. 10.1016/j.neuropsychologia.2006.01.010
  33. Ionescu, T. (2012). Exploring the nature of cognitive flexibility. New Ideas in Psychology, 30(2), 190200. 10.1016/j.newideapsych.2011.11.001
  34. Ionescu, T. (2017). The Variability-Stability-Flexibility Pattern: A Possible Key to Understanding the Flexibility of the Human Mind. Review of General Psychology, 21(2), 123131. 10.1037/gpr0000110
  35. Ionescu, T. (2019). When children succeed in changing their responses: Insights from three versions of a flexible categorization task. European Journal of Developmental Psychology, 16(1), 3246. 10.1080/17405629.2017.1333957
  36. Ionescu, T. (2022). Concepts in Psychology and the Need to Critically Reflect on Them. Studia Universitatis Babes-Bolyai – Psychologia-Paedagogia, 67(2), 8998. 10.24193/subbpsyped.2022.2.04
  37. Jastrow, J. (1900). Fact and fable in psychology. Boston: Houghton Mifflin. 10.1037/10919-000
  38. Kilpatrick, J., Swafford, J. O., & Findell, B. (2001). Adding it up: Helping children learn mathematics. Washington, DC: National Academies Press.
  39. Kleinschmidt, A., Sterzer, P., & Rees, G. (2012). Variability of perceptual multistability: from brain state to individual trait. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 367(1591), 9881000. 10.1098/rstb.2011.036
  40. Kraft, D., Rademacher, L., Eckart, C., & Fiebach, C. J. (2020). Cognitive, Affective, and Feedback-Based Flexibility – Disentangling Shared and Different Aspects of Three Facets of Psychological Flexibility. Journal of Cognition, 3(1), 21. 10.5334/joc.120
  41. Kriete, T., Noelle, D. C., Cohen, J. D., & O’Reilly, R. C. (2013). Indirection and symbol-like processing in the prefrontal cortex and basal ganglia. Proceedings of the National Academy of Sciences, 110(41), 1639016395. 10.1073/pnas.1303547110
  42. Laukkonen, R. E., & Tangen, J. M. (2017). Can observing a Necker cube make you more insightful? Consciousness and Cognition, 48, 198211. 10.1016/j.concog.2016.11.011
  43. Mareschal, D., & Quinn, P. C. (2001). Categorization in infancy. Trends in Cognitive Sciences, 5(10), 443450. 10.1016/S1364-6613(00)01752-6
  44. Mednick, S. A., & Mednick, M. T. (1967). Remote Associates Test, College, Adult, Form 1 and Examiner’s Manual, Remote Associates Test, College and Adult Forms 1 and 2. Houghton Mifflin Company, 2 Park St.
  45. Miller, E. K., & Fusi, S. (2013). Limber neurons for a nimble mind. Neuron, 78(2), 211213. 10.1016/j.neuron.2013.04.007
  46. Minkov, M., & Kaasa, A. (2021). A test of Hofstede’s model of culture following his own approach. Cross Cultural & Strategic Management, 28(2), 384406. 10.1108/CCSM-05-2020-0120
  47. Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The Unity and Diversity of Executive Functions and Their Contributions to Complex “Frontal Lobe” Tasks: A Latent Variable Analysis. Cognitive Psychology, 41(1), 49100. 10.1006/cogp.1999.0734
  48. Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7(3), 134140. 10.1016/S1364-6613(03)00028-7
  49. Morra, S., Panesi, S., Traverso, L., & Usai, M. C. (2018). Which tasks measure what? Reflections on executive function development and a commentary on Podjarny, Kamawar, and Andrews (2017). Journal of Experimental Child Psychology, 167, 246258. 10.1016/j.jecp.2017.11.004
  50. Müller, U., & Kerns, K. (2015). The development of executive function. In Handbook of child psychology and developmental science: Cognitive processes, Vol. 2, 7th ed (pp. 571623). John Wiley & Sons, Inc. 10.1002/9781118963418.childpsy214
  51. Naigles, L. R., Hoff, E., Vear, D., Tomasello, M., Brandt, S., Waxman, S. R., Childers, J. B., & Collins, W. A. (2009). Flexibility in Early Verb Use: Evidence from a Multiple-N Diary Study. Monographs of the Society for Research in Child Development, 74(2), i144.
  52. Nguyen, S. P., & Murphy, G. L. (2003). An Apple is More Than Just a Fruit: Cross-Classification in Children’s Concepts. Child Development, 74(6), 17831806. 10.1046/j.1467-8624.2003.00638.x
  53. Olteţeanu, A.-M., Taranu, M., & Ionescu, T. (2019). Normative Data for 111 Compound Remote Associates Test Problems in Romanian. Frontiers in Psychology, 10. https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01859
  54. O’Reilly, R. C. (2006). Biologically Based Computational Models of High-Level Cognition. Science, 314(5796), 9194. 10.1126/science.1127242
  55. Perry, L. K. (2015). To have and to hold: Looking vs. touching in the study of categorization. Frontiers in Psychology, 6. https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00178
  56. Plunkett, K. (2006). Learning how to be flexible with words. https://ora.ox.ac.uk/objects/uuid:8c36c047-f551-4fa3-acad-089b05e38f39
  57. Politakis, V. A., Slana Ozimič, A., & Repovš, G. (2022). Cognitive Control Challenge Task Across the Lifespan. Frontiers in Psychology, 12. https://www.frontiersin.org/articles/10.3389/fpsyg.2021.789816
  58. Ramirez, G., Shaw, S. T., & Maloney, E. A. (2018). Math Anxiety: Past Research, Promising Interventions, and a New Interpretation Framework. Educational Psychologist, 53(3), 145164. 10.1080/00461520.2018.1447384
  59. RStudio Team. (2023). RStudio: Integrated development for R (Version 2023.12.1+402) [Computer software]. RStudio, PBC. https://rstudio.com/
  60. Rittle-Johnson, B., & Star, J. R. (2009). Compared with what? The effects of different comparisons on conceptual knowledge and procedural flexibility for equation solving. Journal of Educational Psychology, 101(3), 529544. 10.1037/a0014224
  61. Ross, B. H., & Murphy, G. L. (1999). Food for Thought: Cross-Classification and Category Organization in a Complex Real-World Domain. Cognitive Psychology, 38(4), 495553. 10.1006/cogp.1998.0712
  62. Rougier, N. P., Noelle, D. C., Braver, T. S., Cohen, J. D., & O’Reilly, R. C. (2005). Prefrontal cortex and flexible cognitive control: Rules without symbols. Proceedings of the National Academy of Sciences, 102(20), 73387343. 10.1073/pnas.0502455102
  63. Sapp, F., Lee, K., & Muir, D. (2000). Three-year-olds’ difficulty with the appearance–reality distinction: Is it real or is it apparent? Developmental Psychology, 36(5), 547560. 10.1037/0012-1649.36.5.547
  64. Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics. In D. Grouws (Ed.), Handbook for research on mathematics teaching and learning (pp. 334370). New York: Macmillan.
  65. Scott, W., Hann, K. E. J., & McCracken, L. M. (2016). A Comprehensive Examination of Changes in Psychological Flexibility Following Acceptance and Commitment Therapy for Chronic Pain. Journal of Contemporary Psychotherapy, 46(3), 139148. 10.1007/s10879-016-9328-5
  66. Shafto, P., & Coley, J. D. (2003). Development of categorization and reasoning in the natural world: Novices to experts, naive similarity to ecological knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(4), 641649. 10.1037/0278-7393.29.4.641
  67. Schooler, J. W., & Melcher, J. (1995). The ineffability of insight. In S. M. Smith, T. B. Ward & R. A. Finke (Eds.), The creative cognition approach (pp. 97133). Cambridge, MA: MIT Press.
  68. Segal, D., Prior, A., & Gollan, T. H. (2021). Do all switches cost the same? Reliability of language switching and mixing costs. Journal of Cognition, 4(1). 10.5334/joc.140
  69. Sloutsky, V. M., & Fisher, A. V. (2008). Attentional Learning and Flexible Induction: How Mundane Mechanisms Give Rise to Smart Behaviors. Child Development, 79(3), 639651. 10.1111/j.1467-8624.2008.01148.x
  70. Smith, L. L., Banich, M. T., & Friedman, N. P. (2019). Individual differences in mixing costs relate to general executive functioning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(4), 606613. 10.1037/xlm0000613
  71. Snodgrass, J. G., & Vanderwart, M. (1980). A standardized set of 260 pictures: Norms for name agreement, image agreement, familiarity, and visual complexity. Journal of Experimental Psychology: Human Learning and Memory, 6(2), 174215. 10.1037/0278-7393.6.2.174
  72. Star, J. R., & Seifert, C. (2006). The development of flexibility in equation solving. Contemporary Educational Psychology, 31(3), 280300. 10.1016/j.cedpsych.2005.08.001
  73. Stokes, M. G., Kusunoki, M., Sigala, N., Nili, H., Gaffan, D., & Duncan, J. (2013). Dynamic Coding for Cognitive Control in Prefrontal Cortex. Neuron, 78(2), 364375. 10.1016/j.neuron.2013.01.039
  74. Taranu, M., Wimmer, M. C., Ross, J., Farkas, D., van Ee, R., Winkler, I., & Denham, S. L. (2019). Children’s perception of visual and auditory ambiguity and its link to executive functions and creativity. Journal of Experimental Child Psychology, 184, 123138. 10.1016/j.jecp.2019.03.010
  75. Thomas, M. S. C., Purser, H. R. M., & Mareschal, D. (2012). Is the Mystery of Thought Demystified by Context-Dependent Categorisation? Towards a New Relation Between Language and Thought. Mind & Language, 27(5), 595618. 10.1111/mila.12004
  76. Uddin, L. Q. (2021). Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations. Nature Reviews Neuroscience, 22(3), Article 3. 10.1038/s41583-021-00428-w
  77. Ueltzhöffer, K., Armbruster-Genç, D. J. N., & Fiebach, C. J. (2015). Stochastic Dynamics Underlying Cognitive Stability and Flexibility. PLOS Computational Biology, 11(6), e1004331. 10.1371/journal.pcbi.1004331
  78. Waxman, S. R., & Namy, L. L. (1997). Challenging the notion of a thematic preference in young children. Developmental Psychology, 33(3), 555567. 10.1037/0012-1649.33.3.555
  79. Weiss, S., & Wilhelm, O. (2022). Is Flexibility More than Fluency and Originality? Journal of Intelligence, 10(4), Article 4. 10.3390/jintelligence10040096
  80. Wilcox, R. R., & Rousselet, G. A. (2018). A Guide to Robust Statistical Methods in Neuroscience. Current Protocols in Neuroscience, 82(1), 8.42.18.42.30. 10.1002/cpns.41
  81. Wiseman, R., Watt, C., Gilhooly, K., & Georgiou, G. (2011). Creativity and ease of ambiguous figural reversal. British Journal of Psychology, 102(3), 615622. 10.1111/j.2044-8295.2011.02031.x
  82. Xu, F., Han, Y., Sabbagh, M. A., Wang, T., Ren, X., & Li, C. (2013). Developmental differences in the structure of executive function in middle childhood and adolescence. PloS one, 8(10), e77770. 10.1371/journal.pone.0077770
  83. Yu, J., Landy, D., & Goldstone, R. L. (2018). Visual Flexibility in Arithmetic Expressions. In CogSci.
DOI: https://doi.org/10.5334/joc.403 | Journal eISSN: 2514-4820
Language: English
Submitted on: Dec 4, 2023
Accepted on: Sep 26, 2024
Published on: Oct 10, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Thea Ionescu, Robert L. Goldstone, Doris Rogobete, Mihaela Taranu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.