The role of intelligence in decision-making in early adolescence.

Eirini Flouri,Vanessa Moulton,George B Ploubidis

doi:10.1111/bjdp.12261

Eirini Flouri, Vanessa Moulton + Show 1 more

Open Access

https://doi.org/10.1111/bjdp.12261

Copy DOI

Abstract

This study investigated the role of intelligence and its development across childhood in decision‐making in adolescence (age 11 years). The sample was 12,514 children from the UK's Millennium Cohort Study, followed at ages 3, 5, 7, and 11 years. Decision‐making (risk‐taking, quality of decision‐making, risk adjustment, deliberation time, and delay aversion) was measured with the Cambridge Gambling Task. Even after adjustment for confounding, intelligence was positively associated with risk adjustment and quality of decision‐making in both boys and girls. Furthermore, in girls risk adjustment was related positively to IQ gains. Our findings suggest that there are important, substantively, associations between intelligence and adapting behaviour to risk at the cusp of adolescence, the period when the response to risk can shape life trajectories. Statement of Contribution What is already known on this subject In children, intelligence and decision‐making, measured with gambling tasks, are inconsistently linked.This could be due to gambling tasks not separating risk‐taking from contingency‐learning. What the present study adds This study measured 11‐year‐olds’ decision‐making using a gambling task in which probabilities of different outcomes are presented explicitly. IQ was positively associated with risk adjustment and quality of decision‐making.Also significant were IQ gains (for risk adjustment, only in girls).There are links between intelligence and adapting behaviour to statistical risk in children.

Highlights

What is already known on this subject In children, intelligence and decision-making, measured with gambling tasks, are inconsistently linked
In most empirical studies to date, decision-making was measured with the Iowa Gambling Task (IGT) (Bechara, Damasio, Damasio, & Anderson, 1994) in which participants are unaware of the probabilities of the contingencies when they start performing at the beginning of the task
We carried out this study to investigate whether intelligence in childhood predicts adolescent decision-making measured with a gambling task (the Cambridge Gambling Task (CGT); Rogers et al, 1999) in which probabilities of different outcomes are presented explicitly

Summary

Introduction

What is already known on this subject In children, intelligence and decision-making, measured with gambling tasks, are inconsistently linked. In most empirical studies to date, decision-making was measured with the Iowa Gambling Task (IGT) (Bechara, Damasio, Damasio, & Anderson, 1994) in which participants are unaware of the probabilities of the contingencies when they start performing at the beginning of the task With this task, it is difficult to distinguish risk-taking from contingency learning. Performance on the IGT is typically interpreted as reflecting ‘hot’ (affective) decision-making, it appears that it is linked with deliberate, cognitive capacities (associated with intelligence) Building on this observation, we carried out this study to investigate whether intelligence in childhood predicts adolescent decision-making measured with a gambling task (the Cambridge Gambling Task (CGT); Rogers et al, 1999) in which probabilities of different outcomes are presented explicitly. These are situations where responses are expected to be driven by ‘cold’, data-oriented cost/benefit analysis, associated with intelligence

Methods

Results

Conclusion