Some determinants of factor structures from personality-trait descriptors.

Area of Science:

• Psychology
• Personality Science
• Quantitative Psychology

Background:

• Understanding the structure of personality traits is fundamental in psychology.
• Previous research has identified various models, including the influential "Big Five" factors.
• The determinants influencing these factor structures require further investigation.

Purpose of the Study:

• To investigate three key determinants of personality trait factor structures.
• To examine the impact of variable selection, judgment type, and sample homogeneity on factor analysis results.
• To integrate findings within the existing framework of personality trait research.

Main Methods:

• Utilized 57 bipolar scales to represent common trait terms across seven datasets.
• Compared factor structures derived from judgments about real people versus conceptual trait relations.
• Analyzed the effect of sample restriction on evaluatively homogeneous targets on factor size.

Main Results:

• Consistently identified variants of the "Big Five" personality factors across all datasets.
• Found strong similarities for the three largest factors, interpretable as general evaluation and two descriptive dimensions.
• Observed that conceptual judgments yield simpler factor structures than judgments about real people.
• Demonstrated that sample restriction reduces factor size, notably impacting the second factor (Factor II).

Conclusions:

• The selection of variables and type of judgment significantly influence personality factor structures.
• Sample homogeneity acts as a crucial determinant, affecting the prominence of specific personality factors.
• Findings reconcile previous research and offer a comprehensive framework for understanding personality structure determinants.