Influence of dysphoria on positive and negative cognitive reactivity to daily mood fluctuations

We used an experience sampling design to investigate the influence of dysphoria on positive and negative cognitive reactivity. Participants recorded their thoughts and mood four times per day on PDA devices for one week. We hypothesized that those higher in dysphoria would demonstrate a greater increase in negative thinking in response to negative mood, and a weaker increase in positive cognitions in response to positive mood. These hypotheses were largely supported. For those participants who reported higher initial dysphoria, there was a stronger association between negative mood and thinking and a weaker link between positive mood and thinking. Regression analyses indicated that positive and negative cognitive reactivity were independently related to dysphoria, suggesting that they represent distinct processes. Our results highlight the importance of understanding levels of both negative and positive cognitive reactivity and underscore the benefits of assessing mood and cognition with repeated measurements in "real-time," in order to better understand the antecedent effects of mood on thinking.     

Automatic emotion regulation during anger provocation

Individuals frequently have to regulate their emotions, especially negative ones, to function successfully. However, deliberate emotion regulation can have significant costs for the individual. Are there less costly ways to achieve emotion regulatory goals? In two studies, we test the hypothesis that more automatic types of emotion regulation might provide the benefits of deliberate emotion regulation without the costs. Study 1 introduces a priming technique that manipulates automatic emotion regulation. Using this priming technique, we show that relative to priming emotion expression, priming emotion control leads to less anger experience in response to a laboratory anger provocation. Study 2 examines the experiential and physiological consequences of automatic emotion regulation. Results suggest that relative to priming emotion expression, priming emotion control reduces negative emotion experience without maladaptive cardiovascular responding. Together, these findings suggest that automatic emotion regulation may provide an effective means of controlling powerful negative emotions.     

BEALER ON THE AUTONOMY OF PHILOSOPHICAL AND SCIENTIFIC KNOWLEDGE

Abstract: In a series of influential articles, George Bealer argues for the autonomy of philosophical knowledge on the basis that philosophically known truths must be necessary truths. The main point of his argument is that the truths investigated by the sciences are contingent truths to be discovered a posteriori by observation, while the truths of philosophy are necessary truths to be discovered a priori by intuition. The project of assimilating philosophy to the sciences is supposed to be rendered illegitimate by the more or less sharp distinction in these characteristic methods and its modal basis. In this article Bealer's particular way of drawing the distinction between philosophy and science is challenged in a novel manner, and thereby philosophical naturalism is further defended.     

MAKING SPACE FOR THE METHODOLOGICAL MOSAIC: THE FUTURE OF THE FIELD OF SCIENCE-AND-RELIGION

This article is a response to Josh Reeves's recent book Against Methodology in Science and Religion: Recent Debates on Rationality and Theology that welcomes Reeves's proposal for an anti-essentialist future for the field of science-and-religion, particularly because it has the potential to move the field beyond current, well-worn methods: the dominance of Christian theology and doctrine, the importance of credibility strategies, and the dependence upon philosophical discourses. Reeves’ proposal has the potential to open the science-and-religion field to other topics, problems, and methods, such as studying lived science-and-religion. One way of doing this is to study popular culture and its artifacts such as literature, which portrays a co-mingling of religion and science at the level of day-to-day experiences and practices of characters. For at the level of lived experience, religion and science are not well-defined disciplines neatly compartmentalized into separate academic departments.     

Incompatible identities: Memory and experience at the National September 9/11 Memorial and Museum

The National September 9/11 Memorial and Museum in New York City is simultaneously a secular location and sacred place, a space for collective mourning and for individual grief. The incised identities of the diasporic 9/11 dead are displaced from loved ones and from traditional resting places for the dead. While the ephemeral presence of the deceased on the memorial site may be tangible to some, the dead will soon return to this site in the physical form of bone fragments and unidentifiable remains. What will this place then become – public place or death space, ossuary or park, or simultaneously a heterotopic realm of incompatible identities and multiple experiences? The writer's voice echoes these heterotopic tensions; the presence of the subjective voice struggles with the vividness of a ‘prosthetic’ attachment to the events of 9/11 and the scholarly voice struggles to attain a critical distance from the event. From these seemingly incompatible perspectives, a middle ground is negotiated by embedding an autoethnographical perspective, allowing for reflection upon the implications of the return of the dead to the heart of the living city upon practices of death and grief, of memory and experience, of mourning and of everyday life.     

Stochastic search item selection for factor analytic models

In this paper we implement a Markov chain Monte Carlo algorithm based on the stochastic search variable selection method of George and McCulloch (1993) for identifying promising subsets of manifest variables (items) for factor analysis models. The suggested algorithm is constructed by embedding in the usual factor analysis model a normal mixture prior for the model loadings with latent indicators used to identify not only which manifest variables should be included in the model but also how each manifest variable is associated with each factor. We further extend the suggested algorithm to allow for factor selection. We also develop a detailed procedure for the specification of the prior parameters values based on the practical significance of factor loadings using ideas from the original work of George and McCulloch (1993). A straightforward Gibbs sampler is used to simulate from the joint posterior distribution of all unknown parameters and the subset of variables with the highest posterior probability is selected. The proposed method is illustrated using real and simulated data sets.     

Repetitive Thought Impairs Sleep Quality: An Experience Sampling Study

Although previous research has suggested that presleep negative cognitive activities are associated with poor sleep quality, there is little evidence regarding the association between negative thoughts and sleep in real-life settings. The present study used experience sampling and long-term sleep monitoring with actigraphy to investigate the relationships among negative repetitive thought, mood, and sleep problems. During a 1-week sampling period, 43 undergraduate students recorded their thought content and mood eight times a day at semirandom intervals. In addition to these subjective reports, participants wore actigraphs on their wrists in order to measure sleep parameters. Analyses using multilevel modeling showed that repetitive thought in the evening was significantly associated with longer sleep-onset latency, decreased sleep efficiency, and reduced total sleep time. Furthermore, impaired sleep quality was significantly associated with reduced positive affect the next morning, and decreased positive affect was indirectly associated with increased repetitive thought in the evening. These findings suggest the existence of a self-reinforcing cycle involving repetitive thought, mood, and impaired sleep quality, highlighting the importance of cognitive and emotional factors in enhancement and maintenance of good-quality sleep.     

The origins of probabilistic inference in human infants

Reasoning under uncertainty is the bread and butter of everyday life. Many areas of psychology, from cognitive, developmental, social, to clinical, are interested in how individuals make inferences and decisions with incomplete information. The ability to reason under uncertainty necessarily involves probability computations, be they exact calculations or estimations. What are the developmental origins of probabilistic reasoning? Recent work has begun to examine whether infants and toddlers can compute probabilities; however, previous experiments have confounded quantity and probability—in most cases young human learners could have relied on simple comparisons of absolute quantities, as opposed to proportions, to succeed in these tasks. We present four experiments providing evidence that infants younger than 12 months show sensitivity to probabilities based on proportions. Furthermore, infants use this sensitivity to make predictions and fulfill their own desires, providing the first demonstration that even preverbal learners use probabilistic information to navigate the world. These results provide strong evidence for a rich quantitative and statistical reasoning system in infants.     

Priming as a way of understanding children’s mental representations of the social world

Priming is a well established tool for experimental examination of how mental representations drive thoughts, feelings, and behaviors that has been widely used in adult research. Priming is also a well established technique in cognitive development research. Social development research, however, has rarely used priming as a research method despite evidence that this technique is promising for helping researchers untangle causal connections between children’s mental representations and children’s social development outcomes. This paper discusses how priming methods may yield important insights into the role that children’s mental representations of the social world play in children’s social functioning. We begin by discussing the theoretical conceptualization underlying priming and priming methods. We next review evidence demonstrating the effectiveness of priming techniques in child development research. We conclude by suggesting ways in which priming can inform future research in social development using research examining attachment, social-information-processing, gender development, and mood and mental health as examples.