Individual Growth Curve Analysis Illuminates Stability and Change inPersonality Disorder Features

Individual growth curve analysis illuminates stability and change in personality disorder features: the longitudinal study of personality disorders.

BACKGROUND The long-term stability of personality pathology remains an open question. Its resolution will come from prospective, multiwave longitudinal studies using blinded assessments of personality disorders (PD). Informative analysis of multiwave data requires the application of statistical procedures, such as individual growth curve modeling, that can detect and describe individual change ...

Evaluating the Power of Latent Growth Curve Models to Detect Individual Differences in Change

Stability and change in personality disorder features: the Longitudinal Study of Personality Disorders.

BACKGROUND There exists no empirical literature documenting the long-term longitudinal stability of personality pathology comparable to that available for normal personality. A number of test-retest studies have usefully established the short-term reliability of Axis II measures. However, the test-retest design is methodologically inadequate for resolving issues related to the long-term stabili...

Beyond stability: Predicting inter-individual differences in intra-individual change

Demonstration of a high longitudinal stability of inter-individual diferences in behaviour has been one traditional goal of personality psychology. In recent years, impressively high longitudinal correlations have been reported for seuand other-ratings of behaviour in adulthood, indicating a high overall stability of personality differences in that period of development. However, even 5-year co...

Latent Growth Curve Analysis

Learning and development are ubiquitous. When new skills are acquired, when attitudes and interests develop, people change. Measuring change demands a longitudinal perspective, with multiple waves of data collected on representative people at sensibly spaced intervals. Multi-wave data is usually analyzed by individual growth modeling using a multilevel model for change (Singer & Willett, 2003)....