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Quantifying emotionally grounded discursive knowledge with cognitive-affective maps

Author

Listed:
  • Jasmin Luthardt

    (Freie Universität Berlin)

  • Jonathan Howard Morgan

    (University of Applied Sciences)

  • Inka Bormann

    (Freie Universität Berlin)

  • Tobias Schröder

    (University of Applied Sciences)

Abstract

Belief systems matter for all kinds of human social interaction. People have individual cognitions and feelings concerning processes in their environment, which is why they may evaluate them differently. Belief systems can be visualized with cognitive-affective maps (CAMs; as reported by Thagard (in: McGregor (ed) EMPATHICA: A computer support system with visual representations for cognitive-affective mapping, AAAI Press, CA, 2010)). However, it is unclear whether CAMs can be constructed in an intersubjective way by different researchers attempting to map the beliefs of a third party based on qualitative text data. To scrutinize this question, we combined qualitative strategies and quantitative methods of text and network analysis in a case study examining belief networks about participation. Our data set consists of 10 sets of two empirical CAMs: the first CAM was created based on participants’ freely associating concepts related to participation in education (N = 10), the second one was created based on given text data which the participants represented as a CAM following a standardized instruction manual (N = 10). Both CAM-types were compared along three dimensions of similarity (network similarity, concept association similarity, affective similarity). On all dimensions of similarity, there was substantially higher intersubjective agreement in the text-based CAMs than in the free CAMs, supporting the viability of cognitive affective mapping as an intersubjective research method for studying the emotional coherence of belief systems and discursive knowledge. In addition, this study highlights the potential for identifying group-level differences based on how participants associate concepts.

Suggested Citation

  • Jasmin Luthardt & Jonathan Howard Morgan & Inka Bormann & Tobias Schröder, 2022. "Quantifying emotionally grounded discursive knowledge with cognitive-affective maps," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1557-1595, June.
    • Handle: RePEc:spr:qualqt:v:56:y:2022:i:3:d:10.1007_s11135-021-01195-7
    DOI: 10.1007/s11135-021-01195-7
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    References listed on IDEAS

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    1. S. Wolfe, 2012. "Water Cognition and Cognitive Affective Mapping: Identifying Priority Clusters Within a Canadian Water Efficiency Community," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2991-3004, August.
    2. Zöller, Nikolas & Morgan, Jonathan H. & Schröder, Tobias, 2020. "A topology of groups: What GitHub can tell us about online collaboration," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    3. Hunter, David R. & Handcock, Mark S. & Butts, Carter T. & Goodreau, Steven M. & Morris, Martina, 2008. "ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i03).
    4. Scott D. Findlay & Paul Thagard, 2014. "Emotional Change in International Negotiation: Analyzing the Camp David Accords Using Cognitive-Affective Maps," Group Decision and Negotiation, Springer, vol. 23(6), pages 1281-1300, November.
    5. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
    6. Pierre Cossette & Michel Audet, 1992. "Mapping Of An Idiosyncratic Schema," Journal of Management Studies, Wiley Blackwell, vol. 29(3), pages 325-347, May.
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