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Personality assessment in a diverse urban sample
Angelina R Sutin1, Paul T Costa, Michele K Evans
1Department of Medical Humanities and Social Sciences, Florida State University College of Medicine.
Psychological Assessment
|July 3, 2013
Summary
The revised NEO personality inventory (NEO-PI-R) shows excellent data quality and replicability across diverse ethnic and socioeconomic groups. Personality assessment is reliable even with lower literacy challenges in varied populations.
Area of Science:
- Psychological assessment
- Personality psychology
- Sociology
Background:
- The revised NEO personality inventory (NEO-PI-R) is a widely used measure of personality traits.
- Ensuring its psychometric properties in diverse populations is crucial for accurate assessment.
- Previous research has not fully explored the NEO-PI-R's factor structure in socioeconomically varied and ethnically diverse samples.
Purpose of the Study:
- To examine the data quality and replicability of the NEO-PI-R factor structure.
- To assess the NEO-PI-R's performance in a diverse sample varying in ethnicity, socioeconomic status, and literacy.
- To evaluate the reliability of personality trait assessment in socioeconomically diverse populations.
Main Methods:
- Utilized data from 546 participants in the Healthy aging in neighborhoods of diversity across the life span study.
- Participants were African American (58%) and white (42%) urban dwellers, with 51% living below 125% of the federal poverty line.
- Assessed NEO-PI-R data quality (validity, acquiescence, internal consistency), factor congruence, and readability via telephone administration.
Main Results:
- Excellent data quality and factor congruence were observed in the overall sample.
- Literacy emerged as the most significant predictor of data quality.
- While Openness to Experience and Extraversion showed slightly weaker structures in lower socioeconomic status groups, overall factor congruence supported replication beyond chance levels, even with lower literacy.
Conclusions:
- The NEO-PI-R demonstrates robust data quality and replicability across diverse ethnic and socioeconomic backgrounds.
- Personality traits can be reliably assessed using the NEO-PI-R in socioeconomically diverse populations, including those experiencing poverty.
- Literacy is a key factor influencing data quality in personality assessments.
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