The development of bystander intentions and social–moral reasoning about intergroup verbal aggression

A developmental intergroup approach was taken to examine the development of prosocial bystander intentions among children and adolescents. Participants as bystanders (N = 260) aged 8–10 and 13–15 years were presented with scenarios of direct aggression between individuals from different social groups (i.e., intergroup verbal aggression). These situations involved either an ingroup aggressor and an outgroup victim or an outgroup aggressor and an ingroup victim. This study focussed on the role of intergroup factors (group membership, ingroup identification, group norms, and social–moral reasoning) in the development of prosocial bystander intentions. Findings showed that prosocial bystander intentions declined with age. This effect was partially mediated by the ingroup norm to intervene and perceived severity of the verbal aggression. However, a moderated mediation analysis showed that only when the victim was an ingroup member and the aggressor an outgroup member did participants become more likely with age to report prosocial bystander intentions due to increased ingroup identification. Results also showed that younger children focussed on moral concerns and adolescents focussed more on psychological concerns when reasoning about their bystander intention. These novel findings help explain the developmental decline in prosocial bystander intentions from middle childhood into early adolescence when observing direct intergroup aggression.     

Social influences on cognitive processing in enacted social support: effects on receivers’ cognitive appraisals,emotion, and affiliation

Background and objectives. Social support is linked with psychological health, but its mechanisms are unclear. We examined supporters’ influence on recipients’ cognitive processing as a mechanism of effects of support on outcomes associated with depression.

Design/methods. 2?×?2 between-subjects experiment. 147 participants (1) experienced a negative event (false feedback); (2) received social support modeling one of two contrasting cognitive processing modes (abstract/evaluative or concrete/experiential); (3) generated explanations for the event, later coded for processing mode and internal/external causal attribution; and (4) reported on emotion, perceptions of self and future, and social affiliation. To examine relational effects, half of participants were led to perceive the supporter as similar to themselves via a shared birthday manipulation.

Results. Support condition influenced participants’ processing mode and causal attributions as predicted. Abstract/evaluative support led to more positive emotion and self-perceptions, and less pessimistic expectancies for the future than concrete/experiential support. Perceived similarity moderated effects on beliefs about an upcoming social interaction, magnifying positive affiliation outcomes of abstract/evaluative versus concrete/experiential support.

Conclusions. Processing modes that are generally maladaptive at the intrapersonal level may be adaptive (and vice versa) when they are interpersonally influenced, and perceived similarity may facilitate interpersonal effects of processing mode on affiliation.     

Unrealistic representations of “the self”: A cognitive neuroscience assessment of anosognosia for memory deficit

Three cognitive components may play a crucial role in both memory awareness and in anosognosia for memory deficit (AMD): (1) a personal data base (PDB), i.e., a memory store that contains “semantic” representations about the self, (2) monitoring processes (MPs) and (3) an explicit evaluation system (EES), or comparator, that assesses and binds the representations stored in the PDB with information obtained from the environment.We compared both the behavior and the functional connectivity (as assessed by resting-state fMRI) of AMD patients with aware patients and healthy controls. We found that AMD is associated with an impoverished PDB, while MPs are necessary to successfully update the PDB.AMD was associated with reduced functional connectivity within both the default-mode network and in a network that includes the left lateral temporal cortex, the hippocampus and the insula. The reduced connectivity between the hippocampus and the insular cortex was correlated with AMD severity.     

Working psychodynamically and psychosocially with women who have been raped

In this paper, I analyse aspects of the experience of some female University students who have been raped drawing on a Kleinian psychoanalytic perspective and Layton’s concept of ‘normative unconscious processes’. I suggest that Klein’s writing provides a theoretical basis for thinking about the projective and introjective processes that may be at play between perpetrator and ‘victim’. Here, I focus upon Kleinian conceptualisations of castration anxiety, fragmentation, envy, greed and guilt. In terms of ‘normative unconscious processes’, I explore how castration anxiety (in a more symbolic sense of powerlessness), fragmentation, envy, greed and guilt may also operate within social discourses around sexual violence. Specifically, I draw upon Freyd’s concept of DARVO and Payne’s Rape Myth Acceptance Scale which both explain ‘victim blaming’ in terms of the social reversal of the positions of perpetrator and ‘victim’. I illustrate this social process with reference to representations of rape within the mainstream media. My hypothesis is that, although the ‘psychic’ and the ‘social’ are two contrasting positions theoretically, it is possible to draw on both of them to make sense of the experience of working with rape clinically.

The clinical context of this paper is my work as a psychodynamic counsellor at a modern London-based University. I draw on composite case studies of women who have been raped, drawing on both ‘psychic’ and ‘social’ perspectives. I seek to explore how the ‘psychic’ and the ‘social’ can be integrated in different ways depending upon the clinical situation. I suggest that they can be mutually enriching ways of working. Through approaching how the ‘psychic’ and the ‘social’ might interrelate from a clinical viewpoint, I conclude that the idea of ‘working psychosocially’ is of most use when approached as a flexible concept that different clinicians may draw on in different ways with different patients.     

The distinct contributions of cause–effect order and reasoning type in judgments of causality

ABSTRACT

People generally perceive a stronger link between smoking and cancer than between cancer and smoking. Generally, prior research on asymmetrical causal reasoning has not distinguished predictive (searching for effects) and diagnostic reasoning (searching for causes) from the order in which causes and effects are presented. Across 6 studies (overall N = 627), we show that order and reasoning have an additive influence on the causality perception: causes, spatially or temporally presented before the effect, strengthen the causality attribution associated to predictive (vs. diagnostic) frames. Moreover, we show that order and reasoning frame are bi-directionally related, as the cause-first order triggers predictive reasoning and vice versa, and people mentally maintain the cause-first order when envisaging a causal relation. Besides its methodological contribution to the causal reasoning literature, this research demonstrates the powerful role of word order in causal reasoning. Implications for the role of word order in communication and risk prevention are discussed.     

Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion

Abstract

Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score (LCS) models provide a powerful analytical framework to analyze data from ALDs. With developmental data, LCS models can be specified using measurement occasion as the time metric. This provides a number of benefits, but has an important limitation: It makes it not possible to characterize the longitudinal changes as a function of a developmental process such as age or biological maturation. To overcome this limitation, we propose an extension of an occasion-based LCS model that includes age differences at the first measurement occasion. We conducted a Monte Carlo study and compared the results of including different transformations of the age variable. Our results indicate that some of the proposed transformations resulted in accurate expectations for the studied process across all the ages in the study, and excellent model fit. We discuss these results and provide the R code for our analysis.