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The Cognitive Style Indicator: Development and validation of a new measurement instrument

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  • E. COOLS
  • H. VAN DEN BROECK
  • D. BOUCKENOOGHE

Abstract

This paper describes the development and validation of a cognitive style measure, the Cognitive Style Indicator (CoSI). Three studies were conducted to validate the CoSI. The first study consisted of 5924 employees who took part in a large-scale research with regard to career decisions. In the second study, 1580 people completed the CoSI as part of a ‘Competence Indicator’ tool on the Internet. Finally, the third study comprised 635 MBA students who completed the CoSI in the context of a ‘Management and Organization’ course. Reliability, item, and factor analyses demonstrated the internal consistency and homogeneity of three cognitive styles (knowing, planning, and creating style). In addition, substantial support was found for the instrument’s construct validity by including other cognitive style instruments, and personality and ability measures in the validation process. Criterion-related validity was confirmed by examination of the relationship between these cognitive styles and work-related characteristics. The main contributions of our research lie in (a) the development of a valid and reliable cognitive style instrument for use in organizations, and in (b) the further refinement of the analytic–intuitive cognitive style dimension by splitting the analytic pole in a knowing and a planning style.

Suggested Citation

  • E. Cools & H. Van Den Broeck & D. Bouckenooghe, 2006. "The Cognitive Style Indicator: Development and validation of a new measurement instrument," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/379, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:06/379
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    References listed on IDEAS

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    1. Hunt, Raymond G. & Krzystofiak, Frank J. & Meindl, James R. & Yousry, Abdalla M., 1989. "Cognitive style and decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 44(3), pages 436-453, December.
    2. Jill R. Hough & Dt Ogilvie, 2005. "An Empirical Test of Cognitive Style and Strategic Decision Outcomes," Journal of Management Studies, Wiley Blackwell, vol. 42(2), pages 417-448, March.
    3. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
    4. Christopher W. Allinson & John Hayes, 1996. "The Cognitive Style Index: A Measure of Intuition‐Analysis For Organizational Research," Journal of Management Studies, Wiley Blackwell, vol. 33(1), pages 119-135, January.
    5. Roger J., Ronald H. Volkema Gorman, 1998. "The Influence of Cognitive‐based Group Composition on Decision‐making Process and Outcome," Journal of Management Studies, Wiley Blackwell, vol. 35(1), pages 105-121, January.
    6. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    7. K. Jöreskog, 1969. "A general approach to confirmatory maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 183-202, June.
    8. Chan, David, 1996. "Cognitive Misfit of Problem-Solving Style at Work: A Facet of Person-Organization Fit," Organizational Behavior and Human Decision Processes, Elsevier, vol. 68(3), pages 194-207, December.
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