Cognitive structural models: The perception of risk and prevention in coronary heart disease
This paper examines the relationship between causal models and the assessment of actions in a naturalistic domain. Two studies used a novel network diagram technique to elicit individual causal models of the factors affecting the risk of coronary heart disease. The same individuals also rated the ef...
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Published in | The British journal of psychology Vol. 86; no. 3; pp. 321 - 336 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.08.1995
John Wiley & Sons, Inc Cambridge University Press British Psychological Society |
Subjects | |
Online Access | Get full text |
ISSN | 0007-1269 2044-8295 |
DOI | 10.1111/j.2044-8295.1995.tb02755.x |
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Summary: | This paper examines the relationship between causal models and the assessment of actions in a naturalistic domain. Two studies used a novel network diagram technique to elicit individual causal models of the factors affecting the risk of coronary heart disease. The same individuals also rated the effectiveness of different preventive actions. In their diagrams, individuals depicted the causal interrelationships between various factors and estimated the strength of the connecting paths. Total path strength accounted for two‐thirds of the variance in ratings of preventive actions. A number of methodological issues were also explored, which supported the utility of the technique. Consensual models allowed a ready comparison between groups of subjects and showed the importance of distinguishing the presence of paths from the strengths of those paths. The studies support the value of the technique in analysing individual differences in the way people represent complex causal structures; various extensions and applications are also proposed. |
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Bibliography: | istex:542A42221A86E7DB80E12E7226FDECE2FDC40CB0 ark:/67375/WNG-NHFGF9FB-K ArticleID:BJOP2755 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
ISSN: | 0007-1269 2044-8295 |
DOI: | 10.1111/j.2044-8295.1995.tb02755.x |