1. Assessing adolescents' personality with the NEO PI-R
- Author
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Filip De Fruyt, Jean-Pierre Rolland, Hans A. Hoekstra, and Ivan Mervielde
- Subjects
Agreeableness ,Adult ,Male ,Adolescent ,Personality Inventory ,Psychometrics ,Psychology, Adolescent ,050109 social psychology ,Big Five personality traits and culture ,Revised NEO Personality Inventory ,Developmental psychology ,Belgium ,Humans ,0501 psychology and cognitive sciences ,Big Five personality traits ,Child ,Applied Psychology ,05 social sciences ,Discriminant validity ,Alternative five model of personality ,050301 education ,Reproducibility of Results ,Clinical Psychology ,Facet (psychology) ,Female ,Personality Assessment Inventory ,Psychology ,Factor Analysis, Statistical ,Psychological Theory ,0503 education ,Personality - Abstract
The suitability of the Revised NEO Personality Inventory (NEO PI-R) to assess adolescents' personality traits was investigated in an unselected heterogeneous sample of 469 adolescents aged 12 to 17 years. They were further administered the Hierarchical Personality Inventory for Children (HiPIC) to allow an examination of convergent and discriminant validity. The adult NEO PI-R factor structure proved to be highly replicable in the sample of adolescents, with all facet scales primarily loading on the expected factors, independent of the age group. Domain and facet internal consistency coefficients were comparable to those obtained in adult samples, with less than 12% of the items showing corrected item-facet correlations below 1 .20 1. Although, in general, adolescents reported few difficulties with the comprehensibility of the items, they tend to report more problems with the Openness to Ideas (05) and Openness to Values (06) items. Correlations between NEO PI-R and HiPIC scales underscored the convergent and discriminant validity of the NEO facets and HiPIC scales. It was concluded that the NEO PI-R in its present form is useful for assessing adolescents' traits at the primary level, but additional research is necessary to infer the most appropriate facet level structure.
- Published
- 2001