Emotional intelligence meets traditional standards for an intelligence

An intelligence must meet several standard criteria before it can be considered scientifically legitimate. First, it should be capable of being operationalized as a set of abilities. Second, it should meet certain correlational criteria: the abilities defined by the intelligence should form a related set (i.e., be intercorrelated), and be related to pre-existing intelligences, while also showing some unique variance. Third, the abilities of the intelligence should develop with age and experience. In two studies, adults (N=503) and adolescents (N=229) took a new, 12-subscale ability test of emotional intelligence: the Multifactor Emotional Intelligence Scale (MEIS). The present studies show that emotional intelligence, as measured by the MEIS, meets the above three classical criteria of a standard intelligence.     

Childhood Peer Relationship Problems and Young People's Involvement with Deviant Peers in Adolescence

Using prospective longitudinal data from the Christchurch Health and Development Study, this article examined the relationship between children's peer relationship problems in middle childhood and their subsequent risk of forming deviant peer affiliations in adolescence. The analysis proceeded in three steps. First, a structural equation model demonstrated a moderate association between early peer relationship problems and later deviant peer affiliations (r = .27). Second, the model was extended to include a latent variable measure of early conduct problems. This analysis revealed that when the confounding effects of concurrently measured conduct problems were taken into account, peer relationship problems in middle childhood were no longer significantly related to young people's choice of deviant peers in adolescence. Third, the model was further extended to include lagged variables, permitting an examination of possible reciprocal relationships between early conduct problems and peer relationship problems. Results suggested that both early peer relationship problems and adolescent deviant peer involvement are symptomatic of early child behavioral adjustment. The implications of these findings for explanations of deviant peer selection are discussed.     

Karl Schmitz-Moormann: Our Intellectual Legacy From a Great Mind

Karl Schmitz-Moormann's thought as expressed in his last book exemplifies Catholic theology based on realism, flow, evolution, and free will. Categories of creation are reviewed: from nothing, continuous, called forth, informed, and free.     

Jewish Identity, Hostility Toward Germany, and Knowledge About the Holocaust in the United States and Germany

This study examined the relationships among Jewish identity, hostility toward Germany, and knowledge of the Holocaust in American and German Jews. Questionnaires were distributed at synagogues in the United States, and packets were sent to heads of Jewish communities in Germany. Participants were 109 Americans and 31 Germans. Results suggested that hostility toward Germany and knowledge of the Holocaust are related to Jewish identity in American Jews, but that the variables are not related to Jewish identity for Jews in Germany. Additionally, Jews in Germany knew more about the Holocaust than did their American counterparts. Clinical psychology internship and post-doctoral fellowship at the University of California,it>Faculty position at Connecticut College in 1965 and served in its department of psychology for 33 years, until his retirement in 1998     

The relationship between aggression in children and locus of control beliefs

Gender differences are evident in the etiology and maintenance of aggressive behavior (which is on the increase for both male and female youths), but the explanatory models that have been proposed, including social learning theory and information processing models, are more appropriate for boys than for girls. In an attempt to elucidate processes underlying aggression, particularly for girls, the authors explored locus of control as a cognitive variable possibly related to aggressive behavior. The relationships between teacher-reported aggression and 3 types of locus of control (internal, powerful other, and unknown) for success and failure experiences were investigated. For girls, aggressive behavior was positively related to internal and unknown locus of control. In contrast, boys' aggressive behavior was unrelated to internal locus of control beliefs and negatively related to external locus of control beliefs. Possible explanatory mechanisms for the relationship between locus of control beliefs and aggression are discussed. The present study contributes to the understanding of aggression in girls and points to different processes underlying girls' and boys' aggression.     

Two Approaches for Identifying Shared Personality Dimensions Across Methods

Two approaches are illustrated, one exploratory and one confirmatory, or determining the extent to which personality dimensions are invariant across different methods of measurement. Using the interbattery factor model (Browne, 1979, 1980; Tucker, 1958), Study 1 explores the links between the Five-Factor Model of Personality, as assessed by the NEO-PI (Costa & McCrae, 1985), and the Needs system of Murray, as assessed by the Personality Research Form (Jackson, 1984). Study 2 uses an interbattery approach to examine the common structure underlying two widely used coping measures: the revised Ways of Coping Cchecklis (Folkman, Lazarus, Dunkel-Schetter, Delongis, & Gruen, 1986) and the COPE Inventory (Carver, Scheier, & Weintraub, 1989). The two studies illustrate the use of interbattery factor analysis as a means of separating battery-specific (method) factors from interbattery (trait) factors, in contrast to traditional factor analysis that describes underlying structure without regard to method of measurement. By maintaining the distinction between variability that is method-specific and variability that is common across methods, the interbattery factor model allows the common trait structure underlying multiple measures to be described more accurately.     

Pancultural Gender Stereotypes Revisited: The Five Factor Model

Williams and Best's (1982, 1990a) cross-culturalgender stereotype data from 25 countries, previouslyanalyzed in terms of affective meanings, ego states, andpsychological needs, were re-analyzed in terms of the Five Factor Model (FFM) of personality.In each country, participants were approximately 100university students, equally divided by gender. Withresults averaged across all countries, it was found that the pancultural male stereotype was higherthan the pancultural female stereotype on Extraversion,Conscientiousness, Emotional Stability, and Openness toExperience while the pancultural female stereotype was higher on Agreeableness. Re-analysis of thestereotype data from Japan and Pakistan, which had beenfound relatively atypical in previous analyses, revealedFFM profiles generally similar to the pancultural profiles. The evaluative nature of each factoris discussed and related to the stereotypes associalization models.     

A Systems/Dialectical Model of Supervision: A Symbolic Process

Although there has been a proliferation of models of supervision in the marriage and family therapy literature recently, most tend to focus on methods rather than on the process of supervision. The model presented here is grounded in developmental concepts and focuses on student learning through a dialectical process of cognitive and emotional growth and incorporates three stages: 1) developing relationships; 2) breaking impasses, and 3) orchestrating changes. Students discover that supervision becomes isomorphic with relationship issues that arise in their therapy sessions. Dialectical in nature in that each stage is characterized by the resolution of contradictory emotions, the supervision process helps supervisees experience emotional shifts in their interactions with others, referred to as emotional restructuring.     

Knowledge level learning and the power law: A soar model of skill acquisition in scheduling

Zusammenfassung. Das hier vorgestellte Modell lernt graduell, Planungsaufgaben aus der Klasse der Maschinenbelegungsprobleme (job-shop-scheduling problems) zu lösen. Mit Hilfe des Chunking-Mechanismus von Soar wird episodisches Wissen über die Belegungsreihenfolge von Aufträgen auf Maschinen memoriert. Bei der Entwicklung des Modells wurden zahlreiche qualitative (z. B. Transfereffekte) und quantitative Befunde (z. B. Bearbeitungszeiten) aus einer früheren empirischen Untersuchung berücksichtigt. In einer Validierungsstudie wurden dieselben Aufgaben von 14 Probanden und dem Modell bearbeitet. Die Passung von Simulationsdaten und empirischen Ergebnissen fiel insgesamt gut aus. Allerdings löst das Modell die Aufgaben schneller und zeigt auch einen etwas besseren Lernverlauf als die Probanden. Das Modell liefert eine Erklärung für das Rauschen, das typischerweise bei Bearbeitungszeiten zu beobachten ist: es handelt sich um erworbenes Wissen, das mehr oder weniger gut und auch unterschiedlich häufig auf neue Situationen übertragen wird. Der Lernverlauf der Probanden entspricht nur für aggregierte Daten einer Potenzfunktion (power law). Der vorgestellte Mechanismus zeigt, wie ein symbolisches Modell der Informationsverarbeitung graduelle Verhaltensänderungen generiert und wie der offensichtliche Erwerb allgemeiner Prozeduren ohne explizites Lernen von deklarativen Regeln erfolgen kann. Es wird nahegelegt, daß es sich hier um die Modellierung einer Form impliziten Lernens handelt. Summary. The model presented here gradually learns how to perform a job-shop scheduling task. It uses Soar's chunking mechanism to acquire episodic memories about the order to schedule jobs. The model was based on many qualitative (e.g., transfer effects) and quantitative (e.g., solution time) regularities found in previously collected data. The model was tested with new data where scheduling tasks were given to the model and to 14 subjects. The model generally fit these data with the restrictions that the model performs the task (in simulated time) faster than the subjects, and its performance improves somewhat more quickly than the subjects' performance. The model provides an explanation of the noise typically found in problem solving times - it is the result of learning actual pieces of knowledge that transfer more or less to new situations but rarely by an average amount. Only when the data are averaged (i.e., over subjects) does the smooth power law appear. This mechanism demonstrates how symbolic models can exhibit a gradual change in behavior and how the apparent acquisition of general procedures can be performed without resorting to explicit declarative rule generation. We suggest that this may represent a type of implicit learning.