Reaching Across the DMZ: Identity Uncertainty and Reunification on the Korean Peninsula

Drawing on uncertainty‐identity theory (Hogg, 2012), we explore the effects of uncertainty concerning a specific social identity on group identification and attitudes toward subgroup integration and separation in South Koreans' nested identity context (N = 148). All variables were measured. Path analysis revealed, as predicted, that superordinate identity uncertainty weakened superordinate identification and subgroup identity uncertainty weakened subgroup identification. We also found that subgroup identity uncertainty strengthened superordinate identification. This effect was stronger for those who perceived their superordinate group prototype and subgroup prototype to be distinct and nonoverlapping. Furthermore, superordinate identity uncertainty decreased reunification intentions by weakening superordinate identification. Subgroup identity uncertainty increased reunification intentions by strengthening superordinate identification only for those who perceived their superordinate group prototype and subgroup prototype to be distinct and nonoverlapping. Implications for uncertainty identity theory and intergroup relations are discussed.     

Influence analysis for the factor analysis model with ranking data

Influence analysis is an important component of data analysis, and the local influence approach has been widely applied to many statistical models to identify influential observations and assess minor model perturbations since the pioneering work of Cook (1986) . The approach is often adopted to develop influence analysis procedures for factor analysis models with ranking data. However, as this well‐known approach is based on the observed data likelihood, which involves multidimensional integrals, directly applying it to develop influence analysis procedures for the factor analysis models with ranking data is difficult. To address this difficulty, a Monte Carlo expectation and maximization algorithm (MCEM) is used to obtain the maximum‐likelihood estimate of the model parameters, and measures for influence analysis on the basis of the conditional expectation of the complete data log likelihood at the E‐step of the MCEM algorithm are then obtained. Very little additional computation is needed to compute the influence measures, because it is possible to make use of the by‐products of the estimation procedure. Influence measures that are based on several typical perturbation schemes are discussed in detail, and the proposed method is illustrated with two real examples and an artificial example.     

Thinking styles,self‐esteem,and extracurricular experiences

This study had two objectives. The first was to examine the relationship between thinking styles and self‐esteem. The second objective was to investigate the relationship of the participants' extracurricular experiences to both thinking styles and self‐esteem. Seven‐hundred and ninety‐four university students from Hong Kong participated in the study. Participants responded to the Thinking Styles Inventory (Sternberg & Wagner, 1992) and the Self‐Esteem Inventory (Adult Form, Coopersmith, 1981) as well as to a questionnaire designed to elicit both personal and situational characteristics. It was found that thinking styles and self‐esteem are statistically related. Meanwhile, both thinking styles and self‐esteem are statistically related to the participants' extracurricular experiences. Implications of these findings for teachers are discussed.     

Knowledge and economic growth—creativity,learning and knowledge utilization

The purpose of this study is to discuss the dynamic interdependence of knowledge and economic growth. We show that the traditional economics, which treats knowledge as parameters and is mainly developed within linearized, stable and static frameworks can hardly explain the modern economic complexity. We argue that it is necessary to treat creativity, learning and knowledge utilization as endogenous dynamic processes of social and economic evolution. To handle with the complicated dynamic interdependence of wealth and knowledge accumulation, we need to apply genuine nonlinear dynamic theory. In particular, we discuss possible benefits of government's intervention in education and science to the society when the social and economic evolution is characterized of nonlinearity, instability and multi‐equilibria.     

Chaotic attractors in the therapeutic system 1

Because little research had been done on the presence and role of latent communication in the context of team‐conducted family therapy, the writers set out to monitor unconscious responses generated under these conditions. Specifically, they investigated an ongoing family treatment situation conducted according to the “reflecting team model.” One team of therapists handles the actual treatment session, while the other observes from behind a one‐way mirror. During the course of a session, the second team makes suggestions to the treatment team either by telephone or by calling the therapists out of the treatment room.

As the project developed, the writers found that the unconscious responses of both family and treatment teams indicated a process at work beyond the conscious intentions of the participants. That is, the therapeutic enterprise was functioning as a dynamical system, whose increasing complexity suggested a self organizing principle at work. This paper traces the development of the system's movement toward greater complexity, identifies the specific interventions that indicate this process, describes how all participants demonstrated a high degree of resonance and synchronization with this overarching‐self organizing pattern. This paper serves to alert therapists to the role of unconscious communication within the therapeutic system and postulates that the generation of form within psychotherapy follows many of the same self organizing processes found in other human and non human systems.     

Trait emotional intelligence profiles of students from different university faculties

This study investigated the trait emotional intelligence (trait EI or trait emotional self‐efficacy) profiles of 512 students from five university faculties: technical studies, natural sciences, social sciences, arts, and humanities. Using the Trait Emotional Intelligence Questionnaire, it was hypothesised that (a) social sciences would score higher than technical studies in Emotionality, (b) arts would score higher than technical studies in Emotionality, (c) arts would score lower than technical studies in Self‐control, and (d) there would be an interaction between gender and faculty, whereby female students would score higher than male students within the social sciences only. Several other exploratory comparisons were also performed. Results supported hypotheses (a), (b), and (d), but not hypothesis (c), although the differences were in the predicted direction.     

Approach/Positive Anticipation,Frustration/Anger,and Overt Aggression in Childhood

ABSTRACT We examined mothers' ratings of children's affective and behavioral aspects of approach tendencies and links with overt aggressive behavior problems while considering the genetic etiology of these processes. Approach/positive anticipation (AP), frustration/anger (FA), and overt aggression in 4–9‐year‐olds were assessed using mothers' reports in a diverse national sample (n=992) and a sample of same‐sex twins (n=195 pairs). AP and FA were positively correlated with each other and with overt aggression (r from .2 to .5), and these associations were very similar for boys and girls. AP and FA provided overlapping as well as independent statistical prediction of aggression. AP statistical prediction of aggression was substantially mediated by FA, an effect that was accounted for by underlying genetic and nonshared environmental influences.