Illegitimacy moderates the effects of power on approach

A wealth of research has found that power leads to behavioral approach and action. Four experiments demonstrate that this link between power and approach is broken when the power relationship is illegitimate. When power was primed to be legitimate or when power positions were assigned legitimately, the powerful demonstrated more approach than the powerless. However, when power was experienced as illegitimate, the powerless displayed as much approach as, or even more approach than, the powerful. This moderating effect of legitimacy occurred regardless of whether power and legitimacy were manipulated through experiential primes, semantic primes, or role manipulations. It held true for behavioral approach (Experiment 1) and two effects associated with it: the propensity to negotiate (Experiment 2) and risk preferences (Experiments 3 and 4). These findings demonstrate that how power is conceptualized, acquired, and wielded determines its psychological consequences and add insight into not only when but also why power leads to approach.     

Model for a flexible motor memory based on a self-active recurrent neural network

Using recent recurrent network architecture based on the reservoir computing approach, we propose and numerically simulate a model that is focused on the aspects of a flexible motor memory for the storage of elementary movement patterns into the synaptic weights of a neural network, so that the patterns can be retrieved at any time by simple static commands. The resulting motor memory is flexible in that it is capable to continuously modulate the stored patterns. The modulation consists in an approximately linear inter- and extrapolation, generating a large space of possible movements that have not been learned before. A recurrent network of thousand neurons is trained in a manner that corresponds to a realistic exercising scenario, with experimentally measured muscular activations and with kinetic data representing proprioceptive feedback. The network is “self-active” in that it maintains recurrent flow of activation even in the absence of input, a feature that resembles the “resting-state activity” found in the human and animal brain. The model involves the concept of “neural outsourcing” which amounts to the permanent shifting of computational load from higher to lower-level neural structures, which might help to explain why humans are able to execute learned skills in a fluent and flexible manner without the need for attention to the details of the movement.     

Bayes factors for testing inequality constrained hypotheses: Issues with prior specification

Several issues are discussed when testing inequality constrained hypotheses using a Bayesian approach. First, the complexity (or size) of the inequality constrained parameter spaces can be ignored. This is the case when using the posterior probability that the inequality constraints of a hypothesis hold, Bayes factors based on non‐informative improper priors, and partial Bayes factors based on posterior priors. Second, the Bayes factor may not be invariant for linear one‐to‐one transformations of the data. This can be observed when using balanced priors which are centred on the boundary of the constrained parameter space with a diagonal covariance structure. Third, the information paradox can be observed. When testing inequality constrained hypotheses, the information paradox occurs when the Bayes factor of an inequality constrained hypothesis against its complement converges to a constant as the evidence for the first hypothesis accumulates while keeping the sample size fixed. This paradox occurs when using Zellner's g prior as a result of too much prior shrinkage. Therefore, two new methods are proposed that avoid these issues. First, partial Bayes factors are proposed based on transformed minimal training samples. These training samples result in posterior priors that are centred on the boundary of the constrained parameter space with the same covariance structure as in the sample. Second, a g prior approach is proposed by letting g go to infinity. This is possible because the Jeffreys–Lindley paradox is not an issue when testing inequality constrained hypotheses. A simulation study indicated that the Bayes factor based on this g prior approach converges fastest to the true inequality constrained hypothesis.     

Entrepreneurship in young adults: Initial findings from the young entrepreneurs study

The scientific study of youth entrepreneurship is truly in its infancy, with research on the development of entrepreneurship constrained by theoretical foundations that rely on static, trait-like approaches that equate entrepreneurship with stable personality characteristics. In this article, we define entrepreneurship as a fluid process that relies on the bidirectional interplay between a developing individual and his or her context. We report initial findings from the Young Entrepreneurs Study that clarify how entrepreneurial intentions and actions manifest in youth. We present quantitative analyses that examined the relations between entrepreneurial strengths and entrepreneurial activities in a sample of 3461 college students, and we describe the results of semi-structured interviews from a 48-person subset of our larger sample that explored how entrepreneurial intentions and actions manifested in our sample. We describe a mixed-method triangulation that integrates these two sets of findings, then discuss implications for future research.     

Selfish or servant leadership? Evolutionary predictions on leadership personalities in coordination games

We study the personalities of emergent leaders in two coordination games in groups of four players each with monetary incentives. Our results support the evolutionary hypothesis that leadership is a social good for the group: leadership benefits followers but is potentially costly for the individual taking on the leader role. Across the two economic games leaders do less well - earn less money - on average than followers. Furthermore, social participants choose to lead more often than selfish participants and there is no relationship between leadership behavior and personal dominance. Our results support the idea that leadership can be servant rather than selfish and we note the implications of this finding.     

Power increases infidelity among men and women

Data from a large survey of 1,561 professionals were used to examine the relationship between power and infidelity and the process underlying this relationship. Results showed that elevated power is positively associated with infidelity because power increases confidence in the ability to attract partners. This association was found for both actual infidelity and intentions to engage in infidelity in the future. Gender did not moderate these results: The relationship between power and infidelity was the same for women as for men, and for the same reason. These findings suggest that the common assumption (and often-found effect) that women are less likely than men to engage in infidelity is, at least partially, a reflection of traditional gender-based differences in power that exist in society.     

Retracted: Racist biases in legal decisions are reduced by a justice focus

Six studies investigate whether the effect of racist biases on judges' legal decisions on minority defendants is reduced by a “justice focus.” Given that people associate legal decision‐making with the need to do so in a colorblind manner, a justice focus blocks the effect of racist biases on legal decisions. Experiment 1 shows that explicit instructions to adopt a justice goal decrease biases. Experiment 2 shows that a primed justice focus also decreases biases. Experiments 3a and 3b show the role of pre‐existing legal expertise, which makes people more susceptible a justice goal. Experiments 4a and 4b apply these findings by studying the role of a justice focus among professional courtroom judges. Together, these results demonstrate the importance of a justice focus in preventing racist biases in legal decision‐making. Importantly, a justice focus is a necessary but no sufficient condition for the colorblind administration of justice. Copyright © 2010 John Wiley & Sons, Ltd.     

Bayesian evaluation of informative hypotheses for multiple populations

The software package Bain can be used for the evaluation of informative hypotheses with respect to the parameters of a wide range of statistical models. For pairs of hypotheses the support in the data is quantified using the approximate adjusted fractional Bayes factor (BF). Currently, the data have to come from one population or have to consist of samples of equal size obtained from multiple populations. If samples of unequal size are obtained from multiple populations, the BF can be shown to be inconsistent. This paper examines how the approach implemented in Bain can be generalized such that multiple-population data can properly be processed. The resulting multiple-population approximate adjusted fractional Bayes factor is implemented in the R package Bain.     

Taking Up the Threads: The Aesthetic,Temporal, and Political Dimensions of Teaching

Studies in Philosophy and Education -     

Studying in the Superdiverse City: System_D and the Challenge of Solidarity in Brussels

Studies in Philosophy and Education - In recent years, the relation between studying and learning has been a topic of debate. This article is mainly interested in a concept of study practices,...