Summary information

Study title

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...
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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.

Related publications

Not available