Evaluation Bias in the Business Classroom: Evidence Relating to the Effects of Previous Experiences

We found that teaching evaluations were assigned as a function of the professors' gender and students' previous experience with a female professor. Based on the professor's style of organization, enthusiasm, credibility, and effectiveness, and students' willingness to take a course with the professor, students assigned higher evaluations to male professors than female professors. Previous experience with a female faculty member was found to be a relevant variable influencing perceived credibility, organization, and effectiveness evaluations. The findings imply that exposure to women in positions of responsibility may reduce stereotypical attitudes regarding women's ability to function in gender-atypical roles.     

The truth and nothing but the truth,yet never the whole truth: Frege,Russell and the analysis of unities

It is widely assumed that Russell's problems with the unity of the proposition were recurring and insoluble within the framework of the logical theory of his Principles of Mathematics. By contrast, Frege's functional analysis of thoughts (grounded in a type-theoretic distinction between concepts and objects) is commonly assumed to provide a solution to the problem or, at least, a means of avoiding the difficulty altogether. The Fregean solution is unavailable to Russell because of his commitment to the thesis that there is only one ultimate ontological category. This, combined with Russell's reification of propositions, ensures that he must hold concepts and objects to be of the same logical and ontological type. In this paper I argue that, while Frege's treatment of the unity of the proposition has immediate advantages over Russell's, a deeper consideration of the philosophical underpinnings and metaphysical consequences of the two approaches reveals that Frege's supposed solution is, in fact, far from satisfactory. Russell's repudiation of the Fregean position in the Principles is, I contend, convincing and Russell's own position, despite its problems, conforms to a greater extent than Frege's with common sense and, furthermore, with certain ideas which are central to our understanding of the origins of the analytical tradition.     

When God Commands Disobedience: Political Liberalism and Unreasonable Religions

Some religiously devout individuals believe divine command can override an obligation to obey the law where the two are in conflict. At the extreme, some individuals believe that acts of violence that seek to change or punish a political community, or to prevent others from violating what they take to be God’s law, are morally justified. In the face of this apparent clash between religious and political commitments it might seem that modern versions of political morality—such as John Rawls’s political liberalism—that refuse to take a stance on controversial religious matters, or eschew appeal to perfectionist doctrines, are beset by a particularly acute version of this problem of religious disobedience. Whilst political liberalism follows this path so as to generate wide and stable support, it raises the question of how political liberals should respond to religiously motivated non-compliance with the norms of that liberal conception of justice. This article evaluates what resources are available to political liberalism to respond to this challenge. It examines whether anti-perfectionism can be sustained in the face of those whose religious beliefs are in conflict with the law. We argue that, under certain circumstances, political liberalism requires direct engagement with the religious views of the unreasonable, including offering religious arguments to show that their particular interpretation of their faith is mistaken. This view takes political liberalism away from its usual ambitions, but it is a position that is both anticipated by Rawls and consistent with his view. It does, however, require that political liberals give up the claim that the view is a wholly non-sectarian, purely political view, and accept that, under certain circumstances it is a partially comprehensive version of liberal theory.     

Recognition of dance-like actions: Memory for static posture or dynamic movement?

Dance-like actions are complex visual stimuli involving multiple changes in body posture across time and space. Visual perception research has demonstrated a difference between the processing of dynamic body movement and the processing of static body posture. Yet, it is unclear whether this processing dissociation continues during the retention of body movement and body form in visual working memory (VWM). When observing a dance-like action, it is likely that static snapshot images of body posture will be retained alongside dynamic images of the complete motion. Therefore, we hypothesized that, as in perception, posture and movement would differ in VWM. Additionally, if body posture and body movement are separable in VWM, as form- and motion-based items, respectively, then differential interference from intervening form and motion tasks should occur during recognition. In two experiments, we examined these hypotheses. In Experiment 1, the recognition of postures and movements was tested in conditions in which the formats of the study and test stimuli matched (movement–study to movement–test, posture–study to posture–test) or mismatched (movement–study to posture–test, posture–study to movement–test). In Experiment 2, the recognition of postures and movements was compared after intervening form and motion tasks. These results indicated that (1) the recognition of body movement based only on posture is possible, but it is significantly poorer than recognition based on the entire movement stimulus, and (2) form-based interference does not impair memory for movements, although motion-based interference does. We concluded that, whereas static posture information is encoded during the observation of dance-like actions, body movement and body posture differ in VWM.     

Optimierung expositionsbasierter Therapie

Exposure is an effective approach for treating anxiety disorders, although a substantial number of individuals fail to benefit or experience a return of fear. Research results suggest that anxious individuals show deficits in the mechanisms underlying exposure therapy, such as inhibitory learning. Targeting these processes may help improve the efficacy of exposure; however, there has been little discussion of how to implement this model in clinical practice. The primary aim of this paper is to provide examples to clinicians for how to apply this model to optimize exposure therapy, in ways that distinguish it from a fear habituation approach and a belief disconfirmation approach. Optimization strategies include (1) expectancy violation, (2) deepened extinction, (3) occasional reinforced extinction, (4) removal of safety signals, (5) variability, (6) retrieval cues, (7) multiple contexts and (8) affect labeling. Case studies illustrate methods of applying these techniques with a variety of anxiety disorders.     

“You See It Everywhere. It’s Just Natural.”: Contextualizing the Role of Peers,Family, and Neighborhood in Initial Substance Use

The current study utilizes in-depth interviews with inner city African-American and Latino adolescents to understand how they negotiate initial substance use. We applied the social norms approach to explore the role of peers, family, and neighborhood on adolescents’ initial substance use. Utilizing data from 36 interview participants, our analysis revealed that extended family members were pivotal in providing adolescents with their initial alcohol; however, female adolescents were more likely than male adolescents to acquire marijuana from their male peers, for free. Understanding situational contexts underlying initial substance use is imperative for future interventions with this population.     

Predicting similarity judgments in intertemporal choice with machine learning

Similarity models of intertemporal choice are heuristics that choose based on similarity judgments of the reward amounts and time delays. Yet, we do not know how these judgments are made. Here, we use machine-learning algorithms to assess what factors predict similarity judgments and whether decision trees capture the judgment outcomes and process. We find that combining small and large values into numerical differences and ratios and arranging them in tree-like structures can predict both similarity judgments and response times. Our results suggest that we can use machine learning to not only model decision outcomes but also model how decisions are made. Revealing how people make these important judgments may be useful in developing interventions to help them make better decisions.     

A transdiagnostic examination of decreased intolerance of uncertainty and treatment outcome

Intolerance of uncertainty (IU) is characterized by negative beliefs and reactions to uncertainty. IU is present in emotional disorders and may be a mechanism of change in treatment . There are two components of IU, prospective and inhibitory IU, that may be differentially associated with outcome. The current study tested associations between pre- and post-treatment changes in the components of IU, symptoms of anxiety and depression, and treatment outcome in a large diagnostically heterogeneous partial hospital sample. Results suggested that social anxiety disorder was associated with greater pre-treatment prospective and inhibitory IU scores than those without the diagnosis. Results also showed that inhibitory IU predicted change in anxiety and depression symptoms and prospective IU and depression reductions predicted improvements in overall psychological health and psychological inflexibility. Only change in depression predicted improvement in interpersonal relationships throughout treatment. Clinical and theoretical implications of the findings are discussed.