Optimism and Traumatic Stress: The Importance of Social Support and Coping1

This study examined the effects of optimism following traumatic stress and pathways through which optimism may act. Rescue and recovery workers at the crash site of US Air Flight 427 (n= 159) were studied 2, 6, 9, and 12 months after the crash to examine optimistic outlook, social support, coping, and stress. As predicted, a more optimistic disposition was associated with less self‐reported distress, less use of avoidant and wishful‐thinking coping strategies, greater use of problem‐focused and seeking‐social‐support coping, and greater availability of social support. Contrary to expectations, coping did not account for the relationships observed between optimism and stress responding. Social support explained some of the effects of optimism on coping and stress, but these mediational effects varied over time. Findings suggest that optimism affects stress and coping directly and indirectly by affecting how much social support is available.     

Conditional estimation of exponential random graph models from snowball sampling designs

A complete survey of a network in a large population may be prohibitively difficult and costly. So it is important to estimate models for networks using data from various network sampling designs, such as link-tracing designs. We focus here on snowball sampling designs, designs in which the members of an initial sample of network members are asked to nominate their network partners, their network partners are then traced and asked to nominate their network partners, and so on. We assume an exponential random graph model (ERGM) of a particular parametric form and outline a conditional maximum likelihood estimation procedure for obtaining estimates of ERGM parameters. This procedure is intended to complement the likelihood approach developed by  Handcock and Gile (2010) by providing a practical means of estimation when the size of the complete network is unknown and/or the complete network is very large. We report the outcome of a simulation study with a known model designed to assess the impact of initial sample size, population size, and number of sampling waves on properties of the estimates. We conclude with a discussion of the potential applications and further developments of the approach.     

Introduction: novel therapies in developmental disabilities--hope, reason, and evidence

Complementary and alternative medicine (CAM) is used both alongside (complementary) and as a substitute for (alternative) conventional therapies. Although CAM use is reported to be high among children with typical development, reported rates for CAM use to address symptoms of children with developmental disabilities may be higher. Increased use in this population may relate to hope for amelioration of symptoms, concerns regarding side effects of conventional treatments, and a need on the part of families to participate in decision making regarding their child's care. Primary health care providers may find that the child's needs are best served when they maintain a dialogue with families to evaluate the evidence supporting novel therapies. Interventions need to be assessed in an evidence based fashion whether or not they are initially preceived as CAM. This issue of Mental Retardation and Developmental Disabilities Research Reviews contains reviews of CAM used to treat several developmental disabilities as well as some broader discussions related to the determinants of CAM use, current efforts to evaluate novel therapies, and how to consider the possibility of placebo effects.     

Processing of facial expressions of negative emotion in alexithymia: the influence of temporal constraint

Alexithymia, a characteristic involving a limited affective vocabulary appears to involve three components: difficulty identifying feelings, difficulty describing feelings, and externally oriented thinking. There is evidence that alexithymic characteristics are associated with differences in emotion information-processing. We examined the role of temporal factors in alexithymic emotion-processing deficits, taking into account the confound between alexithymic characteristics and positive and negative affectivity. One hundred forty-six participants completed the 20-item Toronto Alexithymia Scale and the Positive and Negative Affect Schedule. In a signal-detection paradigm, participants judged facial expressions depicting neutral or negative emotions under slow and rapid presentation conditions. The alexithymia component of difficulty in describing feelings was inversely related to the ability to detect expressions of negative emotion in the speeded condition. This relationship was independent of positive and negative affectivity. Alexithymic components positive and negative affectivity were unrelated to response bias. The results emphasize the influence of difficulty describing feelings within the alexithymia construct and its difference from positive and negative affectivity. They suggest that an alexithymic deficit in describing feelings is associated with a deficit in processing negative emotions that is most apparent when processing capacity is challenged. Theoretical and methodological implications are discussed.     

Network models for social influence processes

This paper generalizes thep* class of models for social network data to predict individual-level attributes from network ties. Thep* model for social networks permits the modeling of social relationships in terms of particular local relational or network configurations. In this paper we present methods for modeling attribute measures in terms of network ties, and so constructp* models for the patterns of social influence within a network. Attribute variables are included in a directed dependence graph and the Hammersley-Clifford theorem is employed to derive probability models whose parameters can be estimated using maximum pseudo-likelihood. The models are compared to existing network effects models. They can be interpreted in terms of public or private social influence phenomena within groups. The models are illustrated by an empirical example involving a training course, with trainees' reactions to aspects of the course found to relate to those of their network partners.This research was supported by grants from the Australian Research Council. The authors would like to acknowledge the help of Stanley Wasserman, Janice Langan-Fox and Larry Hubert, and would like to thank four anonymous reviewers for their helpful comments. Earlier versions of this article were presented at the North American Conference of the Psychometric Society, Lawrence, Kansas, June, 1999, and at the Australasian Mathematical Psychology Conference, Brisbane, Australia, December 1999.     

Connecting neurosis and psychosis: the direct influence of emotion on delusions and hallucinations

Diagnostic classification systems contain a core divide between neurosis and psychosis, leading to their separate study and treatment. The basis for the separation of the disorders is outlined and reassessed. It is argued that the empirical evidence does not support such a sharp distinction between neurosis and psychosis. The frequent occurrence of emotional disorder prior to and accompanying psychosis indicates that neurosis contributes to the development of the positive symptoms of psychosis. Psychological theories and experimental evidence concerning the influence of emotion on the content and form of delusions and hallucinations are therefore reviewed. It is argued that in many cases delusions are a direct representation of emotional concerns, and that emotion contributes to delusion formation and maintenance. The content of hallucinations less often directly expresses the emotional concerns of the individual, but emotion can trigger and contribute to the maintenance of hallucinatory phenomena, although how this occurs is not well understood. It is concluded that study needs to be made of the interaction between psychotic and neurotic processes in the development of delusions and hallucinations, and that neurotic and psychotic disorders may have common maintenance processes.     

‘How the other half lives’?: Taking a critical approach to the social psychology of economic inequality and extreme wealth

The negative impact of economic inequality on social issues and wellbeing is of importance to social psychology that historically has an interest in social justice. Social Identity Theory is explored as an approach that acknowledges the wider context of social issues. The use of experiments encounters challenges in categorizing wealth and how individuals account for extreme wealth. Mainstream research agendas in psychology are not neutral and draw upon current ideology (such as neoliberalism) that can often maintain inequality. These difficulties are addressed by Critical Social Psychology driven by a social justice agenda that challenges the acceptance of neoliberal values. The application of Critical Social Psychology to wealth inequality is demonstrated with research using UK media data. Critical feminist psychology is discussed to explore the role of class and how to challenge the stigmatization of working-class people. Finally, this paper outlines how Discursive Psychology addresses how extreme wealth and the practices of the super-rich are warranted. A discursive approach questions the acceptance of wealth inequality as an everyday assumption and demonstrates how dominant discourse draws upon individualism. Furthermore, Discursive Psychology has examined how accountability for problematic practices, such as tax avoidance that maintain inequality, are managed in media broadcasts.