Source method biases as implicit personality theory at the domain and facet levels
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
30244473
DOI
10.1111/jopy.12435
Knihovny.cz E-resources
- Keywords
- cross-cultural, measurement error, multimethod assessment, personality structure,
- MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Personality * MeSH
- Personality Inventory standards MeSH
- Psychological Theory MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Cross-Cultural Comparison MeSH
- Personality Assessment standards MeSH
- Self Report standards MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
- Estonia MeSH
OBJECTIVE: We tested predictions about the structure and magnitude of method biases in single-source personality trait assessments. We expected a large number of distinct biases that would parallel the observed structure of traits, at both facet and item levels. METHOD: We analyzed multimethod ratings on the Estonian NEO Personality Inventory-3 in a sample of 3,214 adults. By subtracting informant ratings from self-reports, we eliminated true score variance and analyzed the size and structure of the residual method biases. We replicated analyses using data (N = 709) from the Czech Revised NEO Personality Inventory. RESULTS: The magnitude of method biases was consistent with predictions by McCrae (2018, Psychological Assessment). Factor analyses at the facet level showed a clear replication of the normative Five-Factor Model structure in both samples. Item factor analyses within domains showed that facet-level method biases mimicked the facet structure of the instrument. CONCLUSIONS: Method biases apparently reflect implicit personality theory (IPT)-beliefs about how traits and trait indicators covary. We discuss the (collective) accuracy and possible origins of IPT. Because method biases limit the accuracy of single-source assessments, we recommend assessments that combine information from two or more informants.
Department of Psychology University of Edinburgh Edinburgh Scotland
Department of Psychology University of Warwick Coventry England
Estonian Academy of Sciences Tallinn Estonia
Institute of Psychology Czech Academy of Sciences Brno Czech Republic
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