Decision Making Processes and Outcomes | Zendy

Julie Hicks Patrick | Zendy; Jenessa Steele | Zendy; S. Melinda Spencer | Zendy

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Decision Making Processes and Outcomes

Author(s) -

Julie Hicks Patrick,

Jenessa Steele,

S. Melinda Spencer

Publication year - 2013

Publication title -

journal of aging research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.564

H-Index - 43

eISSN - 2090-2212

pISSN - 2090-2204

DOI - 10.1155/2013/367208

Subject(s) - variance (accounting) , decision quality , multilevel model , quality (philosophy) , cognition , intervention (counseling) , cognitive psychology , linear regression , regression analysis , applied psychology , management science , medicine , data science , gerontology , computer science , psychology , knowledge management , machine learning , psychiatry , accounting , epistemology , team effectiveness , philosophy , business , economics

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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