Getting scientists to think about what they are doing

Research scientists are trained to produce specialised bricks of knowledge, but not to look at the whole building. Increasing public concern about the social role of science is forcing science students to think about what they are actually learning to do. What sort of knowledge will they be producing, and how will it be used? Science education now requires serious consideration of these philosophical and ethical questions. But the many different forms of knowledge produced by modern science cannot be covered by any single philosophical principle. Sociology and cognitive psychology are also needed to understand what the sciences have in common and the significance of what they generate. Again, traditional modes of ethical analysis cannot deal adequately with the values, norms and interests activated by present-day technoscience without reference to its sociological, political and economic dimensions. What science education now requires is ‘metascience’, a discipline that extends beyond conventional philosophy and ethics to include the social and humanistic aspects of the scientific enterprise. For example, students need to learn about the practices, institutions, career choices, and societal responsibilities of research scientists, and to rehearse in advance some of the moral dilemmas that they are likely to meet. They need also to realise that science is changing rapidly, not only in its research techniques and organisational structures but also in its relationships with society at large.     

The use of diagrams in analogical problem solving

In four experiments, we examined the impact of perceptual properties on the effectiveness of diagrams in analogical problem solving, using variants of convergence diagrams as source analogues for the radiation problem. Static diagrams representing the initial problematic state (one large line directed at a target) and the final state for a convergence solution (multiple converging lines) were not accessed spontaneously but were often used successfully once a hint to consider the diagram had been provided. The inaccessibility of static diagrams was not alleviated by adding additional diagrams to represent intermediate states (Experiment 1), but spontaneous access was improved by augmenting static diagrams with a verbal statement of the convergence principle (Experiment 3). Spontaneous retrieval and noticing were increased markedly by animating displays representing converging forces and thereby encouraging encoding of the lines as indicating motion toward a target (Experiments 3 and 4). However, neither static nor animated diagrams were effective when the arrows were reversed to imply divergence rather than convergence (Experiment 2). The results indicate that when animation encourages the interpretation of a diagram as a helpful source analogue, it can greatly enhance analogical transfer.     

The spatial distribution of inhibition of return

Inhibition of return (IOR) refers to the finding that response times (RTs) are typically slower for targets at previously attended (cued) locations than for targets at novel (uncued) locations. Although previous research has indicated that IOR may spread beyond a cued location, the present study is the first to examine the spatial distribution of IOR with high spatial resolution over a large portion of the central visual field. This was done by using a typical IOR procedure (cue, delay, target) with 4 cue locations and 441 target locations (each separated by 1° of visual angle). The results indicate that IOR spreads beyond the cued location to affect the cued hemifield. However, the cues also produced a gradient of RTs throughout the visual field, with inhibition in the cued hemifield gradually giving way to facilitation in the hemifield opposite the cue.     

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.     

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.