Direct assessment of individual connotation and experience: An introduction to cognitive-affective mapping.

Abstract: We introduce cognitive-affective maps (CAMs) as a novel tool to assess individual experiences and belief systems. CAMs were first presented by the cognitive scientist and philosopher Paul Thagard as a graphical representation of a mental network, visualizing attitudes, thoughts, and affect...

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Published in:Politics & the Life Sciences Vol. 41; no. 1; pp. 131 - 140
Main Authors: Reuter, Lisa, Mansell, Jordan, Rhea, Carter, Kiesel, Andrea
Format: Article
Published: Cambridge University Press Spring2022
Subjects:
Online Access:View this record in EBSCOhost
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        10.1017/pls.2021.31
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      tig:
        atl: Direct assessment of individual connotation and experience: An introduction to cognitive-affective mapping.
      aug:
        au:
          Reuter, Lisa
          Mansell, Jordan
          Rhea, Carter
          Kiesel, Andrea
        affil:
          Albert Ludwigs University Freiburg
          Network for Economic and Social Trends, Western University
          L'Université de Montréal
      su:
        Quantitative research
        Qualitative research
        Mental representation
        Software development tools
        Acquisition of data
      sug:
        subj:
          Quantitative research
          Qualitative research
          Custom Computer Programming Services
          Computer systems design and related services (except video game design and development)
          Mental representation
          Software development tools
          Acquisition of data
      keyword:
        attitudes
        cognitive-affective mapping
        mixed methods
        network analysis
        attitudes
        cognitive-affective mapping
        mixed methods
        network analysis
      ab: Abstract: We introduce cognitive-affective maps (CAMs) as a novel tool to assess individual experiences and belief systems. CAMs were first presented by the cognitive scientist and philosopher Paul Thagard as a graphical representation of a mental network, visualizing attitudes, thoughts, and affective connotations toward the topic of interest. While CAMs were originally used primarily to visualize existing data, the recent release of the new software tool Valence has facilitated the applicability of CAMs for empirical data collection. In this article, we explain the concept and the theoretical background of CAMs. We exemplify how CAMs can be applied in research practice, including different options for analysis. We propose CAMs as a user-friendly and versatile methodological bridge between qualitative and quantitative research approaches and encourage incorporating the method into studies to access and visualize human attitudes and experience.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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