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Hierarchical Linear Modeling Analyses of the NEO-PIR Scales in the Baltimore Longitudinal Study of Aging

Hierarchical Linear Modeling Analyses of the NEO-PIR Scales in the Baltimore Longitudinal Study... The authors examined age trends in the 5 factors and 30 facets assessed by the Revised NEO Personality Inventory in Baltimore Longitudinal Study of Aging data (N = 1,944; 5,027 assessments) collected between 1989 and 2004. Consistent with cross-sectional results, hierarchical linear modeling analyses showed gradual personality changes in adulthood: a decline in Neuroticism up to age 80, stability and then decline in Extraversion, decline in Openness, increase in Agreeableness, and increase in Conscientiousness up to age 70. Some facets showed different curves from the factor they define. Birth cohort effects were modest, and there were no consistent Gender × Age interactions. Significant nonnormative changes were found for all 5 factors; they were not explained by attrition but might be due to genetic factors, disease, or life experience. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Psychology and Aging American Psychological Association

Hierarchical Linear Modeling Analyses of the NEO-PIR Scales in the Baltimore Longitudinal Study of Aging

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References (70)

Publisher
American Psychological Association
Copyright
Copyright © 2005 American Psychological Association
ISSN
0882-7974
eISSN
1939-1498
DOI
10.1037/0882-7974.20.3.493
pmid
16248708
Publisher site
See Article on Publisher Site

Abstract

The authors examined age trends in the 5 factors and 30 facets assessed by the Revised NEO Personality Inventory in Baltimore Longitudinal Study of Aging data (N = 1,944; 5,027 assessments) collected between 1989 and 2004. Consistent with cross-sectional results, hierarchical linear modeling analyses showed gradual personality changes in adulthood: a decline in Neuroticism up to age 80, stability and then decline in Extraversion, decline in Openness, increase in Agreeableness, and increase in Conscientiousness up to age 70. Some facets showed different curves from the factor they define. Birth cohort effects were modest, and there were no consistent Gender × Age interactions. Significant nonnormative changes were found for all 5 factors; they were not explained by attrition but might be due to genetic factors, disease, or life experience.

Journal

Psychology and AgingAmerican Psychological Association

Published: Sep 1, 2005

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