The effects of social change within a group on membership preferences: to leave or not to leave?

Two studies examined immediate (Study 1) and long-term (Study 2) behavioral consequences of previously documented asymmetries in cognitive and evaluative reactions to change in majority and minority positions within a group. Study 1 found an overall decrease in preferences for group membership immediately following change, which was preceded by decategorization and devaluation of the group in response to loss, together with lack of categorization and positive evaluation in response to gain of the majority position. Study 2 found a gradual increase in preference to stay with (vs. exit) the group among former minorities with prolonged interactions that confirmed their gained majority position. A gradual increase in preference for group membership was paralleled with gradual increases in perception of both inclusion within and differentiation from the group.     

Social anxiety and interpersonal perception: a social relations model analysis

Cognitive models of social phobia posit that an individual's negative beliefs about the way he or she is perceived by others (metaperceptions) are a core feature of the disorder. The social relations model () was used to analyze interpersonal perception data collected following unstructured social interactions in 62 socially anxious (SA) and 62 not socially anxious (NSA) individuals. Using this model, the interpersonal perceptions were analyzed to evaluate whether pathological levels of social anxiety are associated with self-perceptions, metaperceptions, and perceptions from others. SA participants saw themselves negatively and believed others saw them negatively. Although seen as more nervous by others, SA participants were not seen as less likeable. A mediational model demonstrated that the negative metaperceptions of SA individuals were more a function of their own self-perceptions than the negative perceptions of others. These findings were not attributable to depressive symptoms. Implications for theory and treatment of social phobia are discussed.     

Strength-is-Weakness: The (ir)relevant relation between resources and payoffs in coalition formation

A key observation in coalition formation is that bargainers who control many resources are often excluded from coalitions by bargainers who control few resources, the Strength-is-Weakness effect. We argue that this effect is contingent on whether resources provide a legitimate claim to be included in a coalition. Across three incentivized coalition experiments (n = 2745; 915 triads), three participants (player A had four resources, player B had three resources, player C had two resources) negotiated about a payoff of 90 monetary units. Depending on condition, these resources were obtained randomly, earned, or earned and proportionally linked to the payoff. Results showed player As were less included when resources were obtained randomly and more often included in coalitions when resources were earned and/or proportionally linked to the payoff. This provides evidence that the Strength-is-Weakness is contingent on the legitimacy of the resources.     

Biofeedback of slow brain potentials]

Slow cortical potentials constitute neurophysiological indicators of cortical excitability. Behaviorally they correlate with attention and motor preparation. A system for biofeedback and self-regulation of slow cortical potentials (SCP) has been developed. The portable system allows on-line visual feedback of filtered and corrected slow brain potentials in a predetermined sequence of trials. Three different algorithms for transforming the original SCP-signal into a feedback-signal have been developed and were compared in a controlled outcome study. With the optimal feedback method subjects were able to produce cortical positivity and negativity on command after three sessions. Increases and decreases of negativity of up to 20 microV were also achieved. Therefore a simple and portable PC-based device for the clinical application of SCP-biofeedback is now available.     

The emergence of knowledge systems thinking: A changing perception of relationships among innovation,knowledge process and configuration

As agriculture develops, policy and management decisions increasingly focus on agricultural innovation emerging from utilizing knowledge and/or technology. This paper considers models for underpinning knowledge and technology policy and management. It describes the emergence of knowledge systems thinking. The system construct is applied to actors (individuals, networks and institutions) involved in knowledge processes. These actors potentially form a highly articulated and complex whole. Knowledge policy and management focus on measures that enhance the synergy between actors. Knowledge systems are viewed as “soft systems,” i.e., they only become systems as a result of active construction and joint learning. The soft systems perspective facilitates the identification of various knowledge system models, which have consequences for policy and management decisions with respect to investment, design, and training. In an attempt to create a unifying theory for these models, it is posited that these models are consistent combinations of innovation, knowledge process and structural configuration. Currently, he is the director of an international program on “Comparative research in knowledge systems in support of sustainable agriculture.”     

BIOFEEDBACK OF EVENT-RELATED SLOW POTENTIALS OF THE BRAIN

A biofeedback paradigm was developed for self-regulation of cortical DC-shifts. Subjects received continuous visual feedback of their actual DC-shift during six sec. intervals. Feedback trial series alternated with transfer test trial series. Several studies demonstrated that subjects are able to achieve cortical self-regulation which is maintained and even improved in transfer test trials. This method is used to investigate the covariation of DC-shifts and performance in reaction time tasks, mental tasks and signal detection by varying DC-shifts systematically. The procedure was also applied to different patient groups to test the functional significance of distinct brain regions and to explore deficits in patient groups.     

The Idea of Creation and the Theory of Autopoietic Processes

Systems theory is proposed as a major resource for reconceptualizing a Christian theology of creation. Section I outlines the principles of the theory of autopoietic systems and discusses in particular Manfred Eigen's and Stuart Kauffman's differing views of the emergence of life. Section II shows how biblical texts conceive of God's "blessing" as a divine installment and reshaping of spatio-temporal fields for creaturely self-productivity. On this double basis, Section III undertakes a constructive attempt to formulate a theology of self-productivity within a Trinitarian framework. The unity of divine self-consistency and capacity for self-relativization is seen as the clue for understanding how God not only sustains the world in general but also influences particular processes by changing the overall probability pattern of evolving systems.     

Fungible Correlation Matrices: A Method for Generating Nonsingular,Singular, and Improper Correlation Matrices for Monte Carlo Research

For a fixed set of standardized regression coefficients and a fixed coefficient of determination (R-squared), an infinite number of predictor correlation matrices will satisfy the implied quadratic form. I call such matrices fungible correlation matrices. In this article, I describe an algorithm for generating positive definite (PD), positive semidefinite (PSD), or indefinite (ID) fungible correlation matrices that have a random or fixed smallest eigenvalue. The underlying equations of this algorithm are reviewed from both algebraic and geometric perspectives. Two simulation studies illustrate that fungible correlation matrices can be profitably used in Monte Carlo research. The first study uses PD fungible correlation matrices to compare penalized regression algorithms. The second study uses ID fungible correlation matrices to compare matrix-smoothing algorithms. R code for generating fungible correlation matrices is presented in the supplemental materials.