In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …

Personality psychology, which seeks to study individual differences in thoughts, feelings,
and behaviors that persist over time and place, has experienced a renaissance in the last …

We argue that it is useful to distinguish between three key goals of personality science—
description, prediction and explanation—and that attaining them often requires different …

Personality traits continue to change throughout the lifespan. However, we still know little
about when, why, and how personality traits change. In this paper, we review the current …

We discuss the Gaussian graphical model (GGM; an undirected network of partial
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …

Trait stability and maturation are fundamental principles of contemporary personality
psychology and have been shown to hold across many cultures. However, it has proven …

We propose a self-regulation model of grandiose narcissism. This model illustrates an
interconnected set of processes through which narcissists (ie, individuals with relatively high …

The six–dimensional HEXACO model of personality structure and its associated inventory
have increasingly been used in personality research. But in spite of the evidence supporting …

This article reviews the causal implications of latent variable and psychometric network
models for the validation of personality trait questionnaires. These models imply different …

Clinical and basic personality psychologists interact less than they should, given their similar
interests. In clinical personality psychology, available evidence supports a transition from the …