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Individual differences in thinking style and dealing with contradiction: The mediating role of mixed emotions

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  • David Santos
  • Blanca Requero
  • Manuel Martín-Fernández

Abstract

The present research examined how individuals’ thinking style (holistic vs. analytic) is associated with the way they deal with contradictory information and whether experiencing mixed emotions can mediate this relationship. Participants first completed the thinking style measure and then were exposed to two contradictory pieces of information (Studies 1 and 2). In study 2, we also measured the experience of mixed emotions to test the mediating role of this variable. Across two studies, we found that individuals with a holistic thinking style were more able to reconcile contradictory information compared to individuals with an analytic thinking style. Study 2 showed that the relationship between thinking style and dealing with contradiction was mediated by the experience of mixed emotions. This research extends previous findings on confrontation of contradiction and mixed emotions by using an individual-differences rather than a cultural-differences approach, and establishes mixed emotions as a plausible mediating variable.

Suggested Citation

  • David Santos & Blanca Requero & Manuel Martín-Fernández, 2021. "Individual differences in thinking style and dealing with contradiction: The mediating role of mixed emotions," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.
    • Handle: RePEc:plo:pone00:0257864
    DOI: 10.1371/journal.pone.0257864
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    References listed on IDEAS

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    2. Ashok K. Lalwani & Sharon Shavitt, 2013. "You Get What You Pay For? Self-Construal Influences Price-Quality Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(2), pages 255-267.
    3. Alokparna (Sonia) Basu Monga & Deborah Roedder John, 2008. "WHEN DOES NEGATIVE BRAND PUBLICITY HURT? The Moderating Influence of Analytic Versus Holistic Thinking," Working Papers 0044, College of Business, University of Texas at San Antonio.
    4. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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