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Abstract
People vary in the way in which they approach decision-making, which impacts real-world behavior. There has been a surge of interest in moving beyond reliance on self-report measures to capture such individual differences. Particular emphasis has been placed on devising and applying a range of methodologies that include experimental, neuroscience, and observational paradigms. This paper provides a selective review of recent studies that illustrate the methods and yield of these approaches in terms of generating a deeper understanding of decision-making style and the notable differences that can be found across individuals.
Highlights
IntroductionWhat had been lacking in research, until recent years, was a dedicated effort to prioritize and focus intensively on capturing this fundamental variation in decision-making style (Mohammed and Schwall, 2009; Appelt et al, 2011)
That people differ in how they go about making decisions is not a new idea
What had been lacking in research, until recent years, was a dedicated effort to prioritize and focus intensively on capturing this fundamental variation in decision-making style (Mohammed and Schwall, 2009; Appelt et al, 2011)
Summary
What had been lacking in research, until recent years, was a dedicated effort to prioritize and focus intensively on capturing this fundamental variation in decision-making style (Mohammed and Schwall, 2009; Appelt et al, 2011). Connors et al (2013) proposed that one way to advance our understanding of individual variation in decision-making was to supplement the reliance on self-report measures with concerted utilization of complementary approaches. The purpose of this paper is to highlight recent work that has gone beyond self-report to bring to light the profound variation that can be found in decision-making by using experimental, neuroscience, and observational methodologies. We illustrate the many ways decision-making process has been articulated within each discipline—there is as yet a universal language though many constructs share similarities—which may set a foundation for stimulating cross-disciplinary thinking
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