Work

Decision Making Processes and Outcomes

Year: 2013

Type: article

Abstract: The primary aim of this study was to examine the contributions of individual characteristics and strategic processing to the prediction of decision quality. Data were provided by 176 adults, ages 18 to 93 years, who completed computerized decision-making vignettes and a battery of demographic and cognitive measures. We examined the relations among age, domain-specific experience, working memory, and three measures of strategic information search to the prediction of solution quality using a 4-step hierarchical linear regression analysis. Working memory and two measures of strategic processing uniquely contributed to the variance explained. Results are discussed in terms of potential advances to both theory and intervention efforts.

Source: Journal of Aging Research

DOI: 10.1155/2013/367208

Authors: Julie Hicks Patrick, Jenessa C. Steele, S. Melinda Spencer

Institutions: West Virginia University, Radford University, University of South Carolina

Language: English

Topic: Decision-Making and Behavioral Economics

Subfield: General Decision Sciences

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,000

Funder: National Institutes of Health