On the cross-cultural replicability of the resilient, undercontrolled, and overcontrolled personality types.

Personality types reflect typical configurations of personality attributes within individuals. Over the last 20 years, researchers have identified a set of three replicable personality types: resilient (R), undercontrolled (U), and overcontrolled (O) types. In this study, we examined the cross-cultural replicability of the RUO types in Italy, Poland, Spain, and the United States. Personality types were identified using cluster analyses of Big Five profiles in large samples of college students from Italy (n = 322), the United States (n = 499), Spain (n = 420), and Poland (n = 235). Prior to clustering the profiles, the measurement invariance of the Big Five measure across samples was tested. We found evidence for the RUO types in all four samples. The three-cluster solution showed a better fit over alternative solutions and had a relatively high degree of cross-cultural generalizability. The RUO types are evident in samples from four countries with distinct linguistic and cultural traditions. Results were discussed in light of the importance of considering how traits are organized within individuals for advancing contemporary personality psychology.

An application of the LC-LSTM framework to the self-esteem instability case.

The present research evaluates the stability of self-esteem as assessed by a daily version of the Rosenberg (Society and the adolescent self-image, Princeton University Press, Princeton, 1965) general self-esteem scale (RGSE). The scale was administered to 391 undergraduates for five consecutive days. The longitudinal data were analyzed using the integrated LC-LSTM framework that allowed us to evaluate: (1) the measurement invariance of the RGSE, (2) its stability and change across the 5-day assessment period, (3) the amount of variance attributable to stable and transitory latent factors, and (4) the criterion-related validity of these factors. Results provided evidence for measurement invariance, mean-level stability, and rank-order stability of daily self-esteem. Latent state-trait analyses revealed that variances in scores of the RGSE can be decomposed into six components: stable self-esteem (40 %), ephemeral (or temporal-state) variance (36 %), stable negative method variance (9 %), stable positive method variance (4 %), specific variance (1 %) and random error variance (10 %). Moreover, latent factors associated with daily self-esteem were associated with measures of depression, implicit self-esteem, and grade point average.