Beliefs about group malleability and out‐group attitudes: The mediating role of perceived threat in interactions with out‐group members

Recent research suggests that inducing fixed (rather than malleable) beliefs about groups leads to more negative attitudes toward out‐groups. The present paper identifies the underlying mechanism of this effect. We show that individuals with a fixed belief about groups tend to construe intergroup settings as threatening situations that might reveal shortcomings of their in‐group (perceived threat). In the present research, we measured (Study 1) and manipulated (Study 2) participants' lay theories about group malleability. We found that the extent to which individuals had an entity (versus an incremental) group theory influenced the level of threat they felt when interacting with out‐group members, and that perceived threat in turn affected their level of ethnocentrism and prejudice. These findings shed new light on the role of lay theories in intergroup attitudes and suggest new ways to reduce prejudice. Copyright © 2015 John Wiley & Sons, Ltd.     

To Pass or Not to Pass: A Mathematical Model for Competitive Interactions in Rugby Union

ABSTRACT. Predicting behavior has been a main challenge in human movement science. An important step within the theory of coordination dynamics is to find out the rules that govern human behavior by defining order parameters and control parameters that support mathematical models to predict the behavior of a system. Models to describe human coordination have been focused on interlimb coordination and on interpersonal coordination in affiliative tasks but not on competitive tasks. This article aims to present a formal model with two attractors to describe the interactive behavior on a 2v1 system in rugby union. Interpersonal distance and relative velocity critical values were empirically identified and were included as task constraints that define the attractor landscape. It is shown that using relative velocity as a control parameter the model offers reasonable prediction concerning the decision-making process. The model has the plasticity to adapt to other settings where interpersonal distances and relative velocities amongst system components act as significant task constraints.     

The Many Senses of Imagination and the Manifestation of Fiction: A View from Husserl’s Phenomenology of Phantasy

The systematic importance of the eidetic account of phantasy for Husserlian phenomenology in general is undisputed, but whether this account can be relevant for Aesthetics has often been put into question. In this paper I argue that Husserl’s rich phenomenology of phantasy, and in particular his account of perceptual phantasy, can nevertheless significantly enhance our understanding of how we recognize and imaginatively participate in artistic fictions. Moreover, I show how Husserl’s peculiar formulation of a non-intuitive phantasy at stake in artistic representation anticipates some uses of the imagination in Aesthetics suggested by Ernst Gombrich and Kendall Walton.     

How Should We Assess the Fit of Rasch-Type Models? Approximating the Power of Goodness-of-Fit Statistics in Categorical Data Analysis

We investigate the performance of three statistics, R ₁, R ₂ (Glas in Psychometrika 53:525–546, 1988), and M ₂ (Maydeu-Olivares & Joe in J. Am. Stat. Assoc. 100:1009–1020, 2005, Psychometrika 71:713–732, 2006) to assess the overall fit of a one-parameter logistic model (1PL) estimated by (marginal) maximum likelihood (ML). R ₁ and R ₂ were specifically designed to target specific assumptions of Rasch models, whereas M ₂ is a general purpose test statistic. We report asymptotic power rates under some interesting violations of model assumptions (different item discrimination, presence of guessing, and multidimensionality) as well as empirical rejection rates for correctly specified models and some misspecified models. All three statistics were found to be more powerful than Pearson’s X ² against two- and three-parameter logistic alternatives (2PL and 3PL), and against multidimensional 1PL models. The results suggest that there is no clear advantage in using goodness-of-fit statistics specifically designed for Rasch-type models to test these models when marginal ML estimation is used.     

Pragmatic norms in science: making them explicit

The present work constitutes an attempt to make explicit those pragmatic norms successfully operating in empirical science. I will first comment on the initial presuppositions of the discussion, in particular, on those concerning the instrumental character of scientific practice and the nature of scientific goals. Then I will depict the moderately naturalistic frame in which, from this approach, the pragmatic norms make sense. Third, I will focus on the specificity of the pragmatic norms, making special emphasis on what I regard as a key idea underlying them, namely, the view, vigorously advocated by classical pragmatists like C. S. Peirce and G. Vailati, that the best test for objectivity is the test of action. Finally, I am going to put forward a tentative list of pragmatic norms that can be abstracted from a careful observation and analysis of scientific practice as provided by current philosophers of experimentation (A. Franklin and F. Steinle among others). The norms will be divided into four classes corresponding to four aspects of science in which they rule, that is, self-correction, prediction, explanation and both experimentation and computation. In the following account, the formulation of those pragmatic norms successfully governing science will be understood as a contribution that scientifically-oriented pragmatism can make to the normative naturalistic project in epistemology.