Key points are not available for this paper at this time.
The current pair of highly-powered, preregistered studies estimate the associations between personality/temperament and youth psychopathology, and evaluate the generalizability of these associations across diverse populations and research designs. In Study 1, a multilevel meta-analysis of 147 studies (N = 46,369) quantified the associations between Five-Factor Model personality traits and internalizing/externalizing psychopathology dimensions among subjects aged 1.5 to 18. All traits but openness evidenced small-to-medium bivariate associations with both psychopathology dimensions (z = |.18 - .46|). After adjusting for the covariance between internalizing and externalizing, each dimension showed a distinct personality profile. Internalizing was associated with neuroticism (β = .42) and negative-extraversion (β = -.37). Externalizing was associated with extraversion (β = .30), negative-conscientiousness (β = -.46), and negative-agreeableness (β = -.50). Most variance was driven by informant effects, particularly within the externalizing dimension and when personality and psychopathology were informed by the same person (i.e., mono-informant). Study 2 was a preregistered replication and extension of Study 1 in a large cohort of youth (N = 10,414) using individual-participant, item-level data. Most of Study 1’s associations were replicated for higher-order scales (e.g., Effortful Control) and for their lower-order scales (e.g., Activation Control). Again, mono-informant effects were more pronounced than cross-informant effects. Taken together, these studies provide the first quantitative synthesis of associations between personality/temperament and psychopathology in youth. These preregistered quantitative findings are largely consistent with decades of theory (e.g., Tackett, 2006), evidence a robustness of effects across populations, and highlight the impact of mono-informant effects.
Building similarity graph...
Analyzing shared references across papers
Loading...
Benjamin A. Katz
Stony Brook University
Allison N. Shields
Northwestern University
Ashley L. Watts
Leiden University
Building similarity graph...
Analyzing shared references across papers
Loading...
Katz et al. (Mon,) studied this question.
synapsesocial.com/papers/68e56f7db6db64358751064b — DOI: https://doi.org/10.31234/osf.io/75rcv