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Decision Making Processes and Outcomes

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 co...

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Detalles Bibliográficos
Autores principales: Hicks Patrick, Julie, Steele, Jenessa C., Spencer, S. Melinda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824331/
https://www.ncbi.nlm.nih.gov/pubmed/24282638
http://dx.doi.org/10.1155/2013/367208
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author Hicks Patrick, Julie
Steele, Jenessa C.
Spencer, S. Melinda
author_facet Hicks Patrick, Julie
Steele, Jenessa C.
Spencer, S. Melinda
author_sort Hicks Patrick, Julie
collection PubMed
description 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.
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spelling pubmed-38243312013-11-26 Decision Making Processes and Outcomes Hicks Patrick, Julie Steele, Jenessa C. Spencer, S. Melinda J Aging Res Research Article 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. Hindawi Publishing Corporation 2013 2013-10-24 /pmc/articles/PMC3824331/ /pubmed/24282638 http://dx.doi.org/10.1155/2013/367208 Text en Copyright © 2013 Julie Hicks Patrick et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hicks Patrick, Julie
Steele, Jenessa C.
Spencer, S. Melinda
Decision Making Processes and Outcomes
title Decision Making Processes and Outcomes
title_full Decision Making Processes and Outcomes
title_fullStr Decision Making Processes and Outcomes
title_full_unstemmed Decision Making Processes and Outcomes
title_short Decision Making Processes and Outcomes
title_sort decision making processes and outcomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824331/
https://www.ncbi.nlm.nih.gov/pubmed/24282638
http://dx.doi.org/10.1155/2013/367208
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