Concept mapping—An effective method for identifying diversity and congruity in cognitive style |
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| Institution: | 1. Open University of the Netherlands, 177, Valkenburgerweg, 6401 DL, Heerlen, The Netherlands;2. Pennsylvania State University, Penn State Great Valley, 30 E. Swedesford Rd., Malvern, PA 19355, USA;3. Concept System, Inc., 136 East State Street, Ithaca, NY 14850, USA;1. Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, Canada;2. School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Canada;3. Telfer School of Management, University of Ottawa, Ottawa, Canada;1. Department of Epidemiology, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, St. Louis, MO 63130, United States;2. Department of Physical Education, School of Health and Biosciences, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil;3. Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130, United States;4. Health Communications Research Laboratory, Washington University in St. Louis, 700 Rosedale Avenue, St. Louis, MO 63112, United States;5. Department of Behavioral Science and Health Education, College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Ave., St Louis, MO 63130, United States;1. Cornell University, 475 Warren Hall, Ithaca, NY 14853, USA;2. Charles H. Dyson School of Applied Economics and Management, Cornell University, 475 Warren Hall, Ithaca, NY 14853, USA;3. Ohio State University, Columbus, OH, USA;4. Health Promotion, Education, and Behavior, University of South Carolina, SC 29208, USA;5. Charles H. Dyson School of Applied Economics, Cornell University, 475 Warren Hall, Ithaca, NY 14853, USA;1. University of South Carolina School of Medicine Greenville, United States;2. University of South Carolina, Department of Exercise Science, United States;3. University of South Carolina, Department of Health Promotion, Education, and Behavior, United States;1. Department of Geography at The Ohio State University, Columbus, OH, USA;2. Children’s Defense Fund-Ohio, Columbus, OH, USA;3. Center for Urban and Regional Studies at the University of North Carolina-Chapel Hill, Chapel Hill, NC, USA;4. College of Behavioral & Community Sciences and Professor, Communication Sciences & Disorders at the University of South Florida, Tampa, FL, USA |
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| Abstract: | This paper investigates the effects of cognitive style for decision making on the behaviour of participants in different phases of the group concept mapping process (GCM). It is argued that cognitive style should be included directly in the coordination of the GCM process and not simply considered as yet another demographic variable. The cognitive styles were identified using the Kirton Adaption-Innovation Inventory, which locates each person’s style on a continuum ranging from very adaptive to very innovative. Cognitive style could explain diversity in the participants’ behaviour in different phases of the GCM process. At the same time, the concept map as a group’s common cognitive construct can consolidate individual differences and serves as a tool for managing diversity in groups of participants. Some of the results were that: (a) the more adaptive participants generated ideas that fit to a particular, well-established and consensually agreed paradigm, frame of reference, theory or practice; (b) the more innovative participants produced ideas that were more general in scope and required changing a settled structure (paradigm, frame of reference, theory or practice); and (c) the empirical comparison of the map configurations through Procrustes analysis indicated a strong dissimilarity between cognitive styles. |
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| Keywords: | Group concept mapping Cognitive style Procrustes analysis |
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