Abstract
Decision-making competence refers to the ability to make better decisions, as defined by decision-making principles posited by models of rational choice. The adult decision-making competence (A-DMC) scale is a relatively mature evaluation tool used for decision-making competence. However, the A-DMC is yet far from other mature psychological evaluation tools, and especially the structure of A-DMC remains unclear. In the current study, we estimated a regularized partial correlation network of decision-making competence in a Chinese sample consisting of 339 adults who were evaluated by the A-DMC, and then the centrality indicators were calculated. The results revealed that all nodes of the decision-making competence networks are positively associated, except for the association of resistance to framing (RF) and resistance to sunk costs (SC). The strongest edge was between RF and applying decision rules (DR; regularized partial correlation = 0.37). The centrality indicators of RF and applying DR were highest, revealing that these two variables may play important roles in the decision-making competence network. Our study conceptualizes the decision-making competence from network perspectives, so as to provide some insights for future researches.
Highlights
People make many decisions every day as they go about their lives
Network analysis was applied to the adult decisionmaking competence (A-DMC)
This is the first time that network analysis has been applied to the evaluation of decision-making competence
Summary
People make many decisions every day as they go about their lives. Some of these decisions are minor, but some are quite critical and shape our achievements and our lives, and the quality of these decisions related with the quality of life (Bruine de Bruin et al, 2020). Researchers have tried to measure decision-making competence in many ways (Lewis, 1981; Chiu et al, 2018). Some simulated decision-making games, such as the Iowa gambling task (IGT), balloon analogue risk task, and Cambridge gambling task (CGT), have been used to evaluate decisionmaking competence in many studies (Lauriola et al, 2013; Zois et al, 2014). Some studies have used the decisionmaking scenarios developed by Lewis (1981) to evaluate decision-making ability, in which participants were asked to help a fictitious person to analyze and solve problems in three open ended dilemmas, and their responses were recorded and coded by whether participants mentioned other options, benefit, risk, long-term consequence, and advice seeking. Performance on the IGT may involve rationality and working memory and consciousness of risk (Chiu et al, 2018)
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