Personality characteristics below facets: A replication and meta-analysis of cross-rater agreement, rank-order stability, heritability, and utility of personality nuances

J Pers Soc Psychol. 2019 Oct;117(4):e35-e50. doi: 10.1037/pspp0000202. Epub 2018 Jul 26.

Abstract

Mõttus and colleagues (2017) reported evidence that the unique variance in specific personality characteristics captured by single descriptive items often displayed trait-like properties of cross-rater agreement, rank-order stability, and heritability. They suggested that the personality hierarchy should be extended below facets to incorporate these specific characteristics, called personality nuances. The present study attempted to replicate these findings, employing data from 6,287 individuals from 6 countries (Australia, Canada, Czech Republic, Denmark, Japan, and United States). The same personality measure-240-item Revised NEO Personality Inventory-and statistical procedures were used. The present findings closely replicated the original results. When the original and current results were meta-analyzed, the unique variance of nearly all items (i.e., items' scores residualized for all broader personality traits) showed statistically significant cross-rater agreement (median = .12) and rank-order stability over an average of 12 years (median = .24), and the unique variance of the majority of items had a significant heritable component (median = .14). These 3 item properties were intercorrelated, suggesting that items systematically differed in the degree of reflecting valid unique variance. Also, associations of items' unique variance with age, gender, and body mass index (BMI) replicated across samples and tracked with the original findings. Moreover, associations between item residuals and BMI obtained from one group of people allowed for a significant incremental prediction of BMI in an independent sample. Overall, these findings reinforce the hypotheses that nuances constitute the building blocks of the personality trait hierarchy, their properties are robust and they can be useful. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Publication types

  • Comparative Study
  • Meta-Analysis

MeSH terms

  • Adult
  • Age Factors
  • Australia
  • Body Mass Index
  • Canada
  • Character*
  • Cross-Cultural Comparison
  • Female
  • Humans
  • Japan
  • Male
  • Middle Aged
  • Observer Variation
  • Personality Disorders / diagnosis*
  • Personality Disorders / genetics
  • Personality Disorders / psychology
  • Personality Tests / statistics & numerical data*
  • Sex Factors