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A meta-analysis of the correlations among broad intelligences: Understanding their relations

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  • Bryan, Victoria M.
  • Mayer, John D.

Abstract

The broad intelligences include a group of mental abilities such as comprehension knowledge, quantitative reasoning, and visuospatial processing that are relatively specific in their focus and fall at the second stratum of the Cattell-Horn-Carroll (CHC) model of intelligence. In recent years, the field has seen a proliferation of mental abilities being considered for inclusion among the broad intelligences, which poses challenges in terms of their effective and efficient assessment. We conducted a meta-analysis of 61 articles that reported correlations among the broad intelligences. Results indicated that the average correlation among broad intelligences fell between r = 0.58, 95% CI [0.53, 0.64], and r = 0.65, 95% CI [0.62, 0.68], depending upon the model employed to estimate the relations. Applying factor analysis to a composite correlation matrix drawn from the studies, we obtained dimensions of broad intelligence that may be useful to organizing the group. Finally, we discuss the implications of the correlations among broad intelligences as an evaluative tool for candidate intelligences.

Suggested Citation

  • Bryan, Victoria M. & Mayer, John D., 2020. "A meta-analysis of the correlations among broad intelligences: Understanding their relations," Intelligence, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:intell:v:81:y:2020:i:c:s0160289620300477
    DOI: 10.1016/j.intell.2020.101469
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    1. Ke-Hai Yuan & Ying Cheng & Wei Zhang, 2010. "Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 633-648, December.
    2. Reynolds, Matthew R. & Keith, Timothy Z., 2017. "Multi-group and hierarchical confirmatory factor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition: What does it measure?," Intelligence, Elsevier, vol. 62(C), pages 31-47.
    3. Otto Driel, 1978. "On various causes of improper solutions in maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 43(2), pages 225-243, June.
    4. Ree, Malcolm James & Carretta, Thomas R. & Teachout, Mark S., 2015. "Pervasiveness of Dominant General Factors in Organizational Measurement," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(3), pages 409-427, September.
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