Holistic Information Integration in Child Decision Making

Weighted-additive (WADD) strategies require decision makers to integrate multiple values weighted by their relevance. From what age can children make choices in line with such a WADD-strategy? We compare multi-attribute decisions of children (6–7; 8–10; 11–12-year-olds) with adults in an open information-board environment without pre-decisional information search. In two experiments, we classify decision strategies based on individual choice patterns and find that in all age groups the majority of participants are users of a WADD-strategy. Simple decision heuristics such as lexicographic strategies were applied rarely by children and not at all by adults. In two additional follow-up studies, we further investigate the underlying process of WADD-application by analysing decision latencies in combination with a retrospective think-aloud study. Results suggest that children did not apply WADD-strategies in a deliberate fashion in our experiments. Overall, our findings demonstrate that the ability to make good and quick decisions by holistically integrating information is already present in young children. Copyright © 2017 John Wiley & Sons, Ltd.

[1]  Tilmann Betsch,et al.  Utilizing probabilities as decision weights in closed and open information boards: a comparison of children and adults. , 2014, Acta psychologica.

[2]  Jörg Rieskamp,et al.  When easy comes hard: the development of adaptive strategy selection. , 2011, Child development.

[3]  Jonathan Evans,et al.  Science Perspectives on Psychological , 2022 .

[4]  Eric J. Johnson,et al.  Adaptive Strategy Selection in Decision Making. , 1988 .

[5]  T. Betsch,et al.  Utilization of probabilistic cues in the presence of irrelevant information: a comparison of risky choice in children and adults. , 2013, Journal of experimental child psychology.

[6]  Daniel M. Oppenheimer,et al.  Heuristics made easy: an effort-reduction framework. , 2008, Psychological bulletin.

[7]  Joshua Klayman,et al.  Children's decision strategies and their adaptation to task characteristics , 1985 .

[8]  Kevin A. Gluck,et al.  Verbalization of Decision Strategies in Multiple-Cue Probabilistic Inference , 2016 .

[9]  A. Schlottmann,et al.  How Children Reason about Gains and Losses: Framing Effects in Judgement and Choice , 2005 .

[10]  Arndt Bröder,et al.  Bayesian strategy assessment in multi‐attribute decision making , 2003 .

[11]  Andreas Glöckner,et al.  Intuition in Judgment and Decision Making: Extensive Thinking Without Effort , 2010 .

[12]  Nelson Cowan,et al.  Working Memory Maturation , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

[13]  A. Glöckner,et al.  Do People Make Decisions Under Risk Based on Ignorance? An Empirical Test of the Priority Heuristic Against Cumulative Prospect Theory , 2008 .

[14]  D. Davidson,et al.  The effects of decision characteristics on children's selective search of predecisional information. , 1996, Acta psychologica.

[15]  Andreas Glöckner,et al.  Modeling Option and Strategy Choices with Connectionist Networks: Towards an Integrative Model of Automatic and Deliberate Decision Making , 2008, Judgment and Decision Making.

[16]  A. Glöckner Investigating intuitive and deliberate processes statistically: The multiple-measure maximum likelihood strategy classification method , 2009, Judgment and Decision Making.

[17]  A. Bröder Decision making with the "adaptive toolbox": influence of environmental structure, intelligence, and working memory load. , 2003, Journal of experimental psychology. Learning, memory, and cognition.

[18]  Yoella Bereby-Meyer,et al.  Children's Choice Strategies: The Effects of Age and Task Demands. , 2004 .

[19]  J. Townsend,et al.  Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.

[20]  Benjamin E. Hilbig,et al.  Deliberation versus automaticity in decision making: Which presentation format features facilitate automatic decision making? , 2013, Judgment and Decision Making.

[21]  A. Glöckner,et al.  Multiple-reason decision making based on automatic processing. , 2008, Journal of experimental psychology. Learning, memory, and cognition.

[22]  Andreas Glöckner,et al.  Decisions beyond boundaries: when more information is processed faster than less. , 2012, Acta psychologica.

[23]  D. Davidson,et al.  Children's decision-making examined with an information-board procedure☆ , 1991 .

[24]  T. Betsch,et al.  Lost in search: (Mal-)adaptation to probabilistic decision environments in children and adults. , 2016, Developmental psychology.

[25]  D. Best,et al.  Children¿s decision making: the effects of training, reinforcement, and memory aids , 2003 .

[26]  R. Siegler,et al.  Conscious and unconscious strategy discoveries: a microgenetic analysis. , 1998, Journal of experimental psychology. General.

[27]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[28]  Gerd Gigerenzer,et al.  Heuristic decision making. , 2011, Annual review of psychology.