Hierarchical linear modeling analyses of the NEO-PI-R scales in the Baltimore Longitudinal Study of Aging

Antonio Terracciano, Robert R. McCrae, Larry J. Brant, Paul T. Costa

Research output: Contribution to journalArticlepeer-review

328 Scopus citations

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 X 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.

Original languageEnglish (US)
Pages (from-to)493-506
Number of pages14
JournalPsychology and aging
Volume20
Issue number3
DOIs
StatePublished - Sep 2005
Externally publishedYes

Keywords

  • Aging
  • Five-factor model
  • HLM
  • Longitudinal study
  • Personality change

ASJC Scopus subject areas

  • Social Psychology
  • Aging
  • Geriatrics and Gerontology

Fingerprint

Dive into the research topics of 'Hierarchical linear modeling analyses of the NEO-PI-R scales in the Baltimore Longitudinal Study of Aging'. Together they form a unique fingerprint.

Cite this