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Decision making in environments with non-independent dimensions, experimental data
Creator
Bhatia, S, University of Pennsylvania
Study number / PID
852830 (UKDA)
10.5255/UKDA-SN-852830 (DOI)
Data access
Open
Series
Not available
Abstract
This paper tests whether the dimensions involved in preferential choice tasks are evaluated independently from one another. Common decision heuristics satisfy dimensional independence, and multi-strategy models that assume that decision makers use a repertoire of these heuristics predict that they are unable to represent and respond to dimensional dependencies in the decision environment. In contrast, some single-strategy models are able to violate dimensional independence, and subsequently adapt to environments that feature interacting dimensions. Across five experiments, this paper documents systematic violations of the assumption of dimensional independence. This suggests that decision makers are able to modify their behavior to respond to dimensional dependencies in their environment, and in turn those models that are unable to do this do not provide a full account of human strategy selection and behavior change. This paper ends with a discussion of ways in which some existing models can be modified to incorporate violations of dimensional independence.This network project brings together economists, psychologists, computer and complexity scientists from three leading centres for behavioural social science at Nottingham, Warwick and UEA. This group will lead a research programme with two broad objectives: to develop and test cross-disciplinary models of human behaviour and behaviour change; to draw out their implications for the formulation and evaluation of public policy.
Foundational research will focus on three inter-related themes: understanding individual behaviour and behaviour change; understanding social and interactive behaviour; rethinking the foundations of policy analysis.
The project will explore implications of the basic science for policy via a series of applied projects connecting naturally with the three themes. These will include: the determinants of consumer credit behaviour; the formation of social values; strategies for evaluation of...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
31/12/2012 - 30/09/2017
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
Experimental data. In this paper, we test for violations of independence in choices between bundles composed of different objects (Studies 1 and 2), and real and artificial objects composed of different attributes (Studies 3–5). If the dimensional values of these alternatives do not alter how other dimensions are processed, then changing values on a dimension that is common across all alternatives should not affect choice. In Studies 1, 2, and 3, we use this insight to design binary choice problems in which two bundles contain the same amount of some object, or two objects contain the same amount of some attribute. We vary this common object or attribute across choice problems and find that this affects choice proportions, violating dimensional independence. In Studies 4 and 5, we test for violations of independence with artificial choice alternatives, for which non-independent attribute–reward relationships are learnt through experience.
Funding information
Grant number
ES/K002201/1
Access
Publisher
UK Data Service
Publication year
2017
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.