This article introduces the concept of collective narcissism-an emotional investment in an unrealistic belief about the in group's greatness-aiming to explain how feelings about an ingroup shape a tendency to aggress against outgroups. The results of 5 studies indicate that collective, but not individual, narcissism predicts intergroup aggressiveness. Collective narcissism is related to high private and low public collective self-esteem and low implicit group esteem. It predicts perceived threat from outgroups, unwillingness to forgive outgroups, preference for military aggression over and above social dominance orientation, right-wing authoritarianism, and blind patriotism. The relationship between collective narcissism and aggressiveness is mediated by perceived threat from outgroups and perceived insult to the ingroup. In sum, the results indicate that collective narcissism is a form of high but ambivalent group esteem related to sensitivity to threats to the ingroup's image and retaliatory aggression.

For over three decades confirmatory factor analysis (CFA) has been used to test the construct validity of models of posttraumatic stress disorder (PTSD). The four symptom dimensions of PTSD in the fifth edition of Diagnostic and Statistical Manual of Mental Disorders ( DSM–5) are based on CFA. Since the publication of DSM–5, the number of proposed factors has grown from four to seven. We review these models, focusing on (a) the number of symptoms per factor, indicating how well factors are identified; (b) correlations between factors, indicating how distinct they are; and (c) their external validation. Of the 27 CFAs published since 2013, almost all included factors composed of only two symptoms, and most relied on more than one. High factor correlations were the norm. Two thirds of models provided external validation. Discussion concerns implications for PTSD’s measurement and construct validity and recommendations for improving CFA in the PTSD literature.

The hypothesis that psychometric instruments incorporating local idioms of distress predict functional impairment in a non-Western, war-affected population above and beyond translations of already established instruments was tested. Exploratory factor analysis was conducted on the War-Related Psychological and Behavioral Problems section of the Penn/RESIST/Peradeniya War Problems Questionnaire (PRPWPQ; N. Jayawickreme, Jayawickreme, Goonasekera, & Foa, 2009), a measure that incorporates local idioms of distress, using data from 197 individuals living in Northern and Eastern Sri Lanka. Three subscales--Anxiety, Depression, and Negative Perception--were identified. Regression analyses were conducted to test whether these 3 subscales better predicted functional impairment than the PTSD Symptom Scale-Self Report (PSS; Foa, Riggs, Dancu, & Rothbaum, 1993) and the Beck Depression Inventory (BDI; Beck & Steer, 1987), both widely used self-report measures of posttraumatic stress disorder and depression, respectively. Two of the 3 subscales from the PRPWPQ--Anxiety and Depression--were significantly associated with higher rates of functional impairment after controlling for age, the PSS and the BDI. After the inclusion of PRPWPQ, the PSS and the BDI did not significantly contribute to the final regression model predicting functional impairment. These findings suggest that the scores of measures with local idioms of distress have incremental validity in non-Western war-affected populations, predicting functional impairment above and beyond translations of established self-report measures that have been developed in the Western world.

The aim of the current study was to investigate the extent to which individual differences in personal growth initiative (PGI) were associated with lower reports of functional impairment of daily activities among a genocide-affected population in Rwanda. PGI measures an individual's motivation to develop as a person and the extent to which he or she is active in setting goals that work toward achieving self-improvement. We found that PGI was negatively associated with functional impairment when controlling for depression, posttraumatic stress disorder, and other demographic factors. Our results suggest that PGI may constitute an important mindset for facilitating adaptive functioning in the aftermath of adversity and in the midst of psychological distress, and as such they might have practical applications for the development of intervention programs.

A growing body of literature indicates that the mental distress experienced by survivors of war is a function of both experienced trauma and stressful life events. However, the majority of these studies are limited in that they 1) employ models of psychological distress that emphasize underlying latent constructs and do not allow researchers to examine the unique associations between particular symptoms and various stressors; and 2) use one or more measures that were not developed for that particular context and thus may exclude key traumas, stressful life events and symptoms of psychopathology. The current study addresses both these limitations by 1) using a novel conceptual model, network analysis, which assumes that symptoms covary with each other not because they stem from a latent construct, but rather because they represent meaningful relationships between the symptoms; and 2) employing a locally developed measure of experienced trauma, stressful life problems and symptoms of psychopathology. Over the course of 2009 to 2011, 337 survivors of the Sri Lankan civil war were administered the Penn-RESIST-Peradeniya War Problems Questionnaire (PRPWPQ). Network analysis revealed that symptoms of psychopathology, problems pertaining to lack of basic needs, and social problems were central to the network relative to experienced trauma and other types of problems. After controlling for shared associations, social problems in particular were the most central, significantly more so than traumatic events and family problems. Several particular traumatic events, stressful life events and symptoms of psychopathology that were central to the network were also identified. Discussion emphasizes the utility of such network models to researchers and practitioners determining how to spend limited resources in the most impactful way possible.