Higher-education administrators: when the future does not make a difference

The relationships between administrative actions and their long-term consequences were investigated in 14 people beginning training to become high-level college and university administrators, 19 people who had just finished that training, and 44 provosts (chief academic officers) at colleges and universities in the northeastern United States. The experienced administrators (those who had completed the training plus the provosts) were significantly more likely than the trainees to mention long-term consequences when describing their past and possible future administrative actions. However, in hypothetical choice situations, the experienced administrators were also significantly more likely than the trainees to choose smaller amounts of funds available immediately for their units versus larger amounts of promised future funds. With experience, administrators may both become more aware of their actions' long-term consequences and learn that they are unlikely to receive promised future funds. The contingencies in effect for higher-education administrators may lead them to make choices that do not result in their institutions meeting the highest standards.     

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.     

Kohonen neural networks and language.

Kohonen neural networks are a type of self-organizing network that recognizes the statistical characteristics of input datasets. The application of this type of neural network to language theory is demonstrated in the present note by showing three brief applications: recognizing word borders, learning the limited phonemes of one's native tongue, and category-specific naming impairments.     

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