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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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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. |
format | Online Article Text |
id | pubmed-3824331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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