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Journal of Pediatric Neuropsychology

, Volume 5, Issue 4, pp 152–162 | Cite as

Evaluating the Relation Between CHC Cognitive Factors and Selected Components of Executive Functioning

  • Elizabeth Roberds Lemann
  • Andrew S. DavisEmail author
  • W. Holmes Finch
  • Eric E. Pierson
Article

Abstract

Executive functioning remains an elusive paradigm in regard to their underlying constructs. The Cattell-Horn-Carroll (CHC) theory of cognitive functions is the predominant theory of the measurement of human intelligence in psychology in regard to test construction and interpretation. The purpose of this study was to evaluate the relations between components of the Tower Test and Color-Word Interference Test from the Delis-Kaplan Executive Function System (D-KEFS) and CHC theory, as measured by the Woodcock-Johnson III Tests of Cognitive Abilities (WJ-III-COG). Participants were 64 undergraduate students (women, n = 38; men, n = 26), with a mean age of 19.88 years. Results of a Structured Equation Model indicated a correlation between the two factors modeled for Intelligence and Executive functioning was estimated to be 0.575 (0.331), and was statistically significant (p < .001), with a 95% credible interval of (0.551, 0.599). Thus, approximately 33% of the variance for measures of Intelligence was accounted for by measures of Executive Functioning; the biggest CHC contributor was Numbers Reversed which argues for the importance of attention and working memory being an important component of executive functioning. The results suggest that despite a relation between some components of executive function and cognitive ability, much variance between the D-KEFS and WJ-III-COG remains unaccounted for. These findings have implications for evaluation and intervention planning within vocational and educational settings.

Keywords

Neuropsychology Neuropsychological assessment Executive functioning Intelligence CHC 

Notes

Compliance with Ethical Standards

Informed consent was obtained from all participants included in the study.

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Conflict of Interest

The authors declare that they have no conflict of interest.

References

  1. Anderson, P. J. (2008). Towards a developmental model of executive function. In V. Anderson, R. Jacobs, & P. J. Anderson (Eds.), Executive functions and the frontal lobes (pp. 3–21). New York: Psychology Press.Google Scholar
  2. Ardila, A., Pineda, D., & Rosselli, M. (1999). Correlation between intelligence test scores and executive function measures. Archives of Clinical Neuropsychology, 15, 31–36.Google Scholar
  3. Baddeley, A. (2000). The episodic buffer: a new component of working memory?. Trends in Cognitive Sciences, 4(11), 417–423.PubMedGoogle Scholar
  4. Bartholomew, D. J. (2004). Measuring intelligence: facts and fallacies. New York: Cambridge University Press.Google Scholar
  5. Beer, J. S., Simamura, A. P., & Knight, R. T. (2004). Frontal lobe contributions to executive control of cognitive and social behavior. In M. S. Gasaniga (Ed.), The cognitive neurosciences III (pp. 1091–1104). Cambridge: The MIT Press.Google Scholar
  6. Bernstein, E. E., Heeren, A., & McNally, R. J. (2017). Unpacking rumination and executive control: a network perspective. Clinical Psychological Science, 1–11.  https://doi.org/10.1177/2167702617702717.Google Scholar
  7. Carroll, J. B. (1993). Human cognitive abilities: a survey of factor-analytic studies. Cambridge: Cambridge University Press.Google Scholar
  8. Carroll, J. B. (2005). The three-stratum theory of cognitive abilities. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: theories, tests, and issues (2nd ed., pp. 69–76). New York: The Guilford Press.Google Scholar
  9. Cohen, J. (1992). A power primer. Pscychological Bulletin, 112(1), 155–159.Google Scholar
  10. Colom, R., Rebollo, I., Palacios, A., Jaun-Espinosa, M., & Kyllonen, P. C. (2004). Working memory is (almost) perfectly predicted by g. Intelligence, 32, 277–296.Google Scholar
  11. Conway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Scott, R. B. (2002). A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence. Intelligence, 30, 163–183.Google Scholar
  12. Conway, A. R., Kane, M. J., & Engle, R. W. (2003). Working memory capacity and its relation to general intelligence. Trends in Cognitive Sciences, 7, 547–552.PubMedGoogle Scholar
  13. Davis, A. S., Pierson, E. E., & Finch, W. H. (2011). A canonical correlation analysis of intelligence and executive functioning. Applied Neuropsychology, 18, 61–68.PubMedGoogle Scholar
  14. de Frais, C. M., Dixon, R. A., & Strauss, E. (2006). Structure of four executive functioning tests in healthy older adults. Neuropsychology, 20, 206–214.Google Scholar
  15. Decker, S. L., Hill, S. K., & Dean, R. S. (2007). Evidence of construct similarity in executive functions and fluid reasoning abilities. International Journal of Neuroscience, 117, 735–748.PubMedGoogle Scholar
  16. Decker, S. L., Davis, A. S., Eason, M., Bridges, R., & Vasel, L. (2016). Assessment of Executive Functions Using the Woodcock-Johnson IV Tests of Cognitive Abilities (Woodcock-Johnson IV Assessment Service Bulletin No. 9). Itasca: Houghton Mifflin Harcourt.Google Scholar
  17. Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis Kaplan executive function system: examiner’s manual. San Antonio: The Psychological Corporation.Google Scholar
  18. Denckla, M. B., & Reiss, A. L. (1997). Prefrontal-subcortical circuits in developmental disorders. In N. A. Krasnegor, G. R. Lyon, & P. S. Goldman-Rakic (Eds.), Development of the prefrontal cortex: evolution, neurobiology, and behavior (pp. 283–293). Baltimore: Paul H. Brookes Publishing Company.Google Scholar
  19. Diamond, A. (2002). Normal development of prefrontal cortex from birth to young adulthood: cognitive functions, anatomy, and biochemistry. In D. T. Stuss & R. T. Knight (Eds.), Principles of frontal lobe functions (pp. 466–503). New York: Oxford University Press.Google Scholar
  20. Diamond, A. (2012). Activities and programs that improve children’s executive functions. Current Directions is Psychological Science, 21, 335–341.Google Scholar
  21. Dunn, T. M., Rhodes, A., & Crowder, S. D. (2013). Resilience of the tower test to response bias. Universal Journal of Psychology 1(1), 1–9.Google Scholar
  22. Engle, R. W., Tuholski, S. W., Laughlin, W., & Conway, A. R. (1999). Working memory, short-term memory, and general fluid intelligence: a latent variable approach. Journal of Experimental Psychology: General, 128, 309–331.Google Scholar
  23. Floyd, R. G., McCormack, A. C., Ingram, E. L., Davis, A. E., Bergeron, R., & Hamilton, G. (2006). Relations between the Woodcock-Johnson III clinical clusters and measures of executive functions from the Delis-Kaplan executive function system. Journal of Psychoeducational Assessment, 24, 303–317.Google Scholar
  24. Floyd, R. G., Bergeron, R., Hamilton, G., & Parra, G. R. (2010). How do executive functions fit with the Cattell-Horn-Carroll model? Some evidence from a joint factor analysis of the Delis-Kaplan executive function system and the Woodcock-Johnson III tests of cognitive abilities. Psychology in the Schools, 47, 721–738.Google Scholar
  25. Friedman, N. P., Miyake, A., Corley, R. P., Young, S. E., DeFries, J. C., & Hewitt, J. K. (2006). Not all executive functions are related to intelligence. Psychological Science, 17, 172–179.PubMedGoogle Scholar
  26. Fuchs, M. W., & Day, J. D. (2010). Verbal ability and executive functioning development in preschoolers at head start. Developmental Psychology, 47, 404–416.Google Scholar
  27. Hoerig, D. C., Davis, A. S., & D’Amato, R. C. (2002). Evaluating the relationship between memory and intelligence in children with learning disabilities. Psychological Reports, 91, 1169–1173.PubMedGoogle Scholar
  28. Horn, J. L. (1988). Thinking about human abilities. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate psychology (pp. 645–685). New York: Academic.Google Scholar
  29. Horn, J. L. (1991). Measurement of intellectual capabilities: a review of theory. In K. S. McGrew, J. K. Werder, & R. W. Woodcock (Eds.), Woodcock-Johnson technical manual (pp. 197–232). Chicago: Riverside Publishing.Google Scholar
  30. Horn, J. L., & Blankson, N. (2005). Foundations for better understanding of cognitive abilities. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: theories, tests, and issues (2nd ed., pp. 41–68). New York: The Guilford Press.Google Scholar
  31. Horn, J. L., & Noll, J. (1997). Human cognitive capabilities: Gf-Gc theory. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment: theories, tests, and issues (pp. 53–91). New York: Guilford.Google Scholar
  32. Jarrold, C., & Towse, J. N. (2006). Individual differences in working memory. Neuroscience, 139, 39–50.PubMedGoogle Scholar
  33. Jewsbury, P. A., & Bowden, S. C. (2016). Construct validity of fluency and implications for the factorial structure of memory. Journal of Psychoeducational Assessment, 35, 547–567.Google Scholar
  34. Jewsbury, P. A., Bowden, S. C., & Strauss, M. E. (2016). Integrating the switching, inhibition, and updating model of executive function with the Cattell-Horn-Carroll model. Journal of Experimental Psychology: General, 145, 220–245.Google Scholar
  35. Jurado, M. B., & Rosselli, M. (2007). The elusive nature of executive functions: a review of our current understanding. Neuropsychology Review, 17, 213–233.PubMedGoogle Scholar
  36. Kyllonen, P. C., & Christal, R. E. (1990). Reasoning ability is (little more than) working memory capacity?! Intellignece, 14, 389–433.Google Scholar
  37. Latzman, R. D., & Markon, K. E. (2010). The factor structure and age-related factorial invariance of the Delis-Kapan executive function system (D-KEFS). Assessment, 17(2), 172–184.Google Scholar
  38. Lee, K., & Bull, R. (2016). Developmental changes in working memory, updating, and math achievement. Journal of Educational Psychology, 108(6), 869–882.  https://doi.org/10.1037/edu000090.CrossRefGoogle Scholar
  39. Levy, R., & Choi, L. (2013). Bayesian structural equation models. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: a second course. Charlotte: Information Age Publishing.Google Scholar
  40. McCloskey, G., Perkins, L. A., & Divner, B. V. (2009). Assessment and intervention for executive function difficulties. New York: Routledge.Google Scholar
  41. McGrew, K. S. (2014). CHC theory 101: from general intelligence g to CHC theory [PowerPoint Slides]. Retrieved from http://www.slideshare.net/iapsych/chc-theory-101-from-general-intelligence-g-to-chc-theory.
  42. McGrew, K. S., & Woodcock, R. W. (2001). Technical manual: Woodcock-Johnson III. Itasca: Riverside Publishing.Google Scholar
  43. Mendoza, J. L., Markos, V. H., & Gonter, R. (1978). A new persective on sequential testing procedures in canonical analysis: a Monte Carlo evaluation. Multivariate Behavioral Research, 13, 371.PubMedGoogle Scholar
  44. Miller, D. C. (2007). Essentials of school neuropsychological assessment. Hoboken: Wiley.Google Scholar
  45. 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, 49–100.  https://doi.org/10.1006/cogp.1999.0734.CrossRefPubMedGoogle Scholar
  46. Muthen, B., & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335.Google Scholar
  47. Naylor, M. G., Lin, X., Weiss, S. T., Raby, B. A., & Lange, C. (2010). Using canonical correlation analysis to discover genetic regulatory variants. PLoS One, 5(5), e10395.PubMedPubMedCentralGoogle Scholar
  48. Otero, T. M., Barker, L. A., & Naglieri, J. A. (2014). Executive function treatment and intervention in schools. Applied Neuropsychology: Child, 3, 205–214.Google Scholar
  49. Rabin, L. A., Paolillo, E., & Barr, W. B. (2016). Stability in test-usage practices of clinical neuropsychologists in the United States and Canada over a 10-year period: a follow-up survey of INS and NAN members. Archives of Clinical Neuropsychology, 31, 206–230.PubMedGoogle Scholar
  50. Richland, L. E., & Burchinal, M. R. (2013). Early executive function predicts reasoning development. Psychological Science, 24, 87–92.PubMedGoogle Scholar
  51. Schmidt, M. (2003). Hit or miss? Insight into executive functions (test review). Journal of the International Neuropsychological Society, 9, 962–964.Google Scholar
  52. Schneider, W. J., & McGrew, K. S. (2012). The Cattell-Horn-Carroll model of intelligence. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: theories, tests, and issues (3rd ed., pp. 99–144). New York: Guilford Press.Google Scholar
  53. Schneider, W. J., & McGrew, K. S. (2018). The Cattell-Horn-Carroll theory of cognitive abilities. In D. P. Flanagan & E. McDonough (Eds.), Contemporary cognitive assessment: theories, tests, and issues (4th ed., pp. 73–163). New York: Guilford Press.Google Scholar
  54. Schrank, F. A., McGrew, K. S., & Mather, N. (2014). Woodcock-Johnsom IV tests of cognitive abilities. Rolling Meadows: Riverside Publishing.Google Scholar
  55. Shunk, A. W., Davis, A. S., & Dean, R. S. (2007). Test review: Dean C. Delis, Edith Kaplan & Joel H. Kramer, Delis Kaplan Executive Function System (D-KEFS), The Psychological Corporation, San Antonio, TX, 2001. $415.00 (complete kit). Applied Neuropsychology, 13(4), 275–279.Google Scholar
  56. Sotelo-Dynega, M., & Dixon, S. G. (2014). Cognitive assessment practices: a survey of school psychologists. Psychology in the Schools, 51, 1031–1045.Google Scholar
  57. Sub, H. M., Oberauer, K., Wittman, W. W., Wilhelm, O., & Schulze, R. (2002). Working memory capacity explains reasoning ability – and a bit more. Intelligence, 30, 261–288.Google Scholar
  58. Suchy, Y. (2009). Executive functioning: overview, assessment, and research issues for non-neuropsychologists. Annals of Behavioral Medicine, 37(2), 106–116.  https://doi.org/10.1007/s12160-009-9097-4.CrossRefPubMedGoogle Scholar
  59. Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Boston: Pearson.Google Scholar
  60. Titz, C., & Karbacj, J. (2014). Working memory and executive functions: effects of training on academic achievement. Psychological Research, 78, 852–868.PubMedGoogle Scholar
  61. Unsworth, N., Miller, J. D., Lakey, C. E., Young, D. L., Meeks, J. T., Campbell, W. K., & Goodie, A. S. (2009). Exploring the relations among executive functions, fluid intelligence, and personality. Journal of Individual Differences, 30, 194–200.Google Scholar
  62. Woodcock, R. S., & Johnson, M. B. (1989). Woodcock-Johnson psychoeducational battery-revised. Itasca: Riverside Publishing.Google Scholar
  63. Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson III tests of cognitive abilities. Itasca: Riverside Publishing.Google Scholar
  64. Zook, N. A., Davalos, D. B., DeLosh, E. L., & Davis, H. P. (2004). Working memory, inhibition, and fluid intelligence as predictors of performance on tower of Hanoi and London tasks. Brain and Cognition, 56, 286–292.PubMedGoogle Scholar
  65. Zook, N., Welsh, M. C., & Ewing, V. (2006). Performance of healthy, older adults on the tower of London revised: associations with verbal and nonverbal abilities. Aging, Neuropsychology, and Cognition, 13, 1–19.Google Scholar

Copyright information

© American Academy of Pediatric Neuropsychology 2019

Authors and Affiliations

  • Elizabeth Roberds Lemann
    • 1
  • Andrew S. Davis
    • 1
    Email author
  • W. Holmes Finch
    • 1
  • Eric E. Pierson
    • 1
  1. 1.Ball State University Neuropsychology LaboratoryBall State UniversityMuncieUSA

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