1. A comprehensive item‐level examination of Conscientiousness' underlying structure across three large samples.
- Author
-
Phillips, Nathaniel L., Van Til, Kaela, Lynam, Donald R., and Miller, Joshua D.
- Subjects
CONSCIENTIOUSNESS ,EXTERNALIZING behavior ,FACTOR analysis ,INDIVIDUAL differences ,SELF-control - Abstract
Objective: The present study examined the hierarchical structure of Conscientiousness across three large samples using item‐level analyses. Background: Conscientiousness is among the strongest predictors of individual differences in major life outcomes. Yet decades of work understanding the optimal lower‐order structure of Conscientiousness has not rectified the differences that remain among existing models and measures. To precisely measure its relations to major life outcomes, it is necessary to work toward a comprehensive, replicable conceptualization of the construct's structure. Methods: The present pre‐registered study used three samples (Ns = 446, 406, & 424) to explore the domain's latent structure with item‐level "bass‐ackward" factor analyses and evaluate the resulting structure's interpretability, parsimony, and replicability. Participants completed self‐report measures of Conscientiousness and criteria in its nomological network (e.g., FFM traits, externalizing behavior, disinhibitory traits; informant reports were collected as well). Results: The factor analyses identified five interpretable and replicable factors (i.e., deliberation, order, industriousness, self‐discipline, and dependability) using predominant measures of general personality. An additional factor (i.e., traditionalism) was introduced in the six‐factor solution when the item pool was expanded to include less widely used measures of general personality. Conclusion: The authors discuss the item composition of each factor, their relation to existing models and measures of the domain's structure, their association with relevant criteria, and the general implications of conceptualizing Conscientiousness using flexible, item‐level factor analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF