Posttraumatic stress and physical health among adults: The role of coping mechanisms

The purpose of the present study was to examine whether coping mechanisms predict physical health, after controlling for posttraumatic stress disorder (PTSD) symptom clusters in a non-clinical sample of adults. Data were collected from 483 adults through an online survey. Most of the participants (66.7%) reported lifetime exposure to at least one traumatic event. The final sample of this study included 319 trauma-exposed individuals. Results indicated that PTSD symptoms on the avoidance and hyperarousal clusters had significant positive relationships with self-reported physical health symptoms. After controlling for gender and PTSD, denial, behavioral disengagement, and self-blame significantly and positively predicted physical health symptoms.     

Coping with loneliness in old age: a cross-cultural comparison

The present study is an examination of the influence of cultural background on the ways in which the aged cope with loneliness. Thirty-six participants from Canada and 105 from Portugal (60-83 years old) answered an 86-item questionnaire which examined thebeneficial strategies which they used to cope with loneliness. The strategies which were examined included Acceptance and Reflection, Self-Development and Understanding, Social Support Network, Distancing and Denial, Religion and Faith, and Increased Activity. Results indicated that the elderly of the two cultures differ on three subscales. Gender differences between and within cultures were also examined.     

Implicit Attitudes Toward Arab-Muslims and the Moderating Effects of Social Information

Three studies examined the relative valence and strength of implicit attitudes toward Arab-Muslims using the Implicit Association Test (IAT) while exploring the moderation of such implicit effects. Studies have suggested that repeated exposure to information associating members of a social group (e.g., Arab-Muslims) with evaluative attributes (e.g., terrorism) might create automatic attitudes toward them. Consistent with this notion, the IAT results indicated strong implicit preference for White over Arab-Muslim, whereas the magnitude of such a bias was substantially diminished when assessed by explicit measures (Study 1). It is also interesting to note that participants exhibited implicit preference for Black over Arab-Muslim when measured by the IAT, whereas no difference was found between the 2 groups in stimulus familiarity and in explicit attitudes (Studies 2 and 3). However, such implicit effects were moderated when participants were exposed to positive information about Arab-Muslims (Study 3). Theoretical and practical implications of these findings are further discussed.     

Family Influences on the Long Term Post-Disaster Recovery of Puerto Rican Youth

This study focused on characteristics of the family environment that may mediate the relationship between disaster exposure and the presence of symptoms that met DSM-IV diagnostic criteria for symptom count and duration for an internalizing disorder in children and youth. We also explored how parental history of mental health problems may moderate this mediational model. Approximately 18 months after Hurricane Georges hit Puerto Rico in 1998, participants were randomly selected based on a probability household sample using 1990 US Census block groups. Caregivers and children (N?=?1,886 dyads) were interviewed with the Diagnostic Interview Schedule for Children and other questionnaires in Spanish. Areas of the family environment assessed include parent-child relationship quality, parent-child involvement, parental monitoring, discipline, parents’ relationship quality and parental mental health. SEM models were estimated for parents and children, and by age group. For children (4–10 years old), parenting variables were related to internalizing psychopathology, but did not mediate the exposure-psychopathology relationship. Exposure had a direct relationship to internalizing psychopathology. For youth (11–17 years old), some parenting variables attenuated the relation between exposure and internalizing psychopathology. Family environment factors may play a mediational role in psychopathology post-disaster among youth, compared to an additive role for children. Hurricane exposure had a significant relation to family environment for families without parental history of mental health problems, but no influence for families with a parental history of mental health problems.     

A Quantitative Empirical Analysis of the Abstract/Concrete Distinction

This study presents original evidence that abstract and concrete concepts are organized and represented differently in the mind, based on analyses of thousands of concepts in publicly available data sets and computational resources. First, we show that abstract and concrete concepts have differing patterns of association with other concepts. Second, we test recent hypotheses that abstract concepts are organized according to association, whereas concrete concepts are organized according to (semantic) similarity. Third, we present evidence suggesting that concrete representations are more strongly feature‐based than abstract concepts. We argue that degree of feature‐based structure may fundamentally determine concreteness, and we discuss implications for cognitive and computational models of meaning.     

Statistical Learning of Unfamiliar Sounds as Trajectories Through a Perceptual Similarity Space

In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. Specifically, rather than identifying or labeling individual stimuli discretely in order to predict the next item in a sequence, we need only assume that the participant is able to represent the stimuli as evincing particular similarity relations to one another, with sequences represented as trajectories through this similarity space. We present experiments in which this hypothesis makes sharply different predictions from hypotheses based on the assumption that sequences are learned over discrete, labeled stimuli. We also present a series of simulation models that encode stimuli as positions in a continuous two‐dimensional space, and predict the next location from the current location. Although no model captures all of the data presented here, the results of three critical experiments are more consistent with the view that participants represent trajectories through similarity space rather than sequences of discrete labels under particular conditions.     

The psychometric function: I. Fitting, sampling, and goodness of fit

The psychometric function relates an observer’s performance to an independent variable, usually some physical quantity of a stimulus in a psychophysical task. This paper, together with its companion paper (Wichmann & Hill, 2001), describes an integrated approach to (1) fitting psychometric functions, (2) assessing the goodness of fit, and (3) providing confidence intervals for the function’s parameters and other estimates derived from them, for the purposes of hypothesis testing. The present paper deals with the first two topics, describing a constrained maximum-likelihood method of parameter estimation and developing several goodness-of-fit tests. Using Monte Carlo simulations, we deal with two specific difficulties that arise when fitting functions to psychophysical data. First, we note that human observers are prone to stimulus-independent errors (orlapses). We show that failure to account for this can lead to serious biases in estimates of the psychometric function’s parameters and illustrate how the problem may be overcome. Second, we note that psychophysical data sets are usually rather small by the standards required by most of the commonly applied statistical tests. We demonstrate the potential errors of applying traditionalX ² methods to psychophysical data and advocate use of Monte Carlo resampling techniques that do not rely on asymptotic theory. We have made available the software to implement our methods.