Document Detail


Psychometric properties of component and global measures of structured interview assessed type A behavior in a population sample.
MedLine Citation:
PMID:  3671635     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Structured interview (SI) assessments of global and component Type A behavior were conducted in a general population sample of 903 respondents. Correlations among all the measures were positive and significant. A factor analysis revealed that the common component variance was explained by a single underlying factor. Interrater reliabilities were approximately 0.5 to 0.7 for the individual components and 0.8 for both the SI global Type A and a second global measure that was assigned independently by assessors who did the component scoring. Prediction of the SI-assessed global measure from the components accounted for 56% of the variance, and prediction of the second global measure from the components accounted for about 83% of the variance. Implications of the psychometric properties of the SI component and global measures of Type A behavior for future research are discussed.
Authors:
T E Dielman; A T Butchart; G E Moss; R V Harrison; W R Harlan; W J Horvath
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Psychosomatic medicine     Volume:  49     ISSN:  0033-3174     ISO Abbreviation:  Psychosom Med     Publication Date:    1987 Sep-Oct
Date Detail:
Created Date:  1987-12-04     Completed Date:  1987-12-04     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0376505     Medline TA:  Psychosom Med     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  458-69     Citation Subset:  IM    
Affiliation:
Department of Sociology, Eastern Michigan University.
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MeSH Terms
Descriptor/Qualifier:
Humans
Interviews as Topic
Michigan
Population Surveillance
Psychometrics
Regression Analysis
Type A Personality*
Grant Support
ID/Acronym/Agency:
HL28094/HL/NHLBI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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