Depression and vulnerability as assessed by the Rorschach method

We examined clinically depressed (CD; n = 16), previously depressed (PD; n = 19) and never depressed (ND; n = 18) individuals on 13 theoretically selected Rorschach (Exner, 1993; Rorschach, 1942) variables and on the Beck Depression Inventory (BDI; Beck, Rush, Shaw, & Emery, 1979). The group assignment was made according to the criteria of Diagnostic and Statistical Manual of Mental Disorders (4th ed.; American Psychiatric Association, 1994). We tested 2 contradictory models for depressive vulnerability, Beck's (Clark & Beck, 1999) and Miranda and Persons's (1988; Persons & Miranda, 1992), in a planned comparison design with focused contrasts. The CDs significantly contrasted the combined group of NDs and the PDs in a pathological direction on 8 of the 13 Rorschach variables and on the BDI. However, the combined group of CDs and PDs also significantly contrasted the NDs in a pathological direction on 3 of these Rorschach variables and on the BDI. In addition, logistic regression analyses indicated that Rorschach indexes significantly improved the prediction of major depression above and beyond that achieved by the BDI. The findings show that the Rorschach method was able to identify (a) cognitive and aggressive disturbances that are present in individuals who are actively depressed but not in individuals who have been depressed in the past or never been depressed and (b) affective and coping disturbances that are present in depressed individuals and to some degree in PD individuals but not in individuals who have not experienced depression. We discuss the scanty evidence of psychological disturbances in PD individuals, as measured with the Rorschach, in relation to the mood-state dependent hypothesis of Miranda and Persons (1988; Persons & Miranda, 1992).     

Psychopathic and nonpsychopathic violent offenders on the rorschach: discriminative features and comparisons with schizophrenic inpatient and university student samples

We examined discriminant and convergent validity of theoretically relevant Rorschach Comprehensive System (CS) variables (Exner, 2003) and Meloy and Gacono's (1992) aggression variables in distinguishing between imprisoned violent offenders (VO) who were psychopathic (P-VO) and nonpsychopathic (NP-VO) under psychiatric treatment, schizophrenic inpatients (ISs), and university students (USs). A total of 7 of 12 variables discriminated significantly between P-VO and NP-VO, which suggests more aggressive, cognitive, and interpersonal disturbances among P-VO. We also found significant differences between VOs, ISs, and USs. Logistic regression analyses revealed that AgPast accumulated incrementally in the classification of P-VO versus NP-VO, and AgC accumulated incrementally in the classification of VO versus IS when entered after CS variables. The findings support the view that psychopathy is a distinctive form of antisocial personality disorder (Diagnostic and Statistical Manual of Mental Disorders; American Psychiatric Association, 1994) organized at a more severe pathological level.     

Asymptotically distribution-free (ADF) interval estimation of coefficient alpha

The point estimate of sample coefficient alpha may provide a misleading impression of the reliability of the test score. Because sample coefficient alpha is consistently biased downward, it is more likely to yield a misleading impression of poor reliability. The magnitude of the bias is greatest precisely when the variability of sample alpha is greatest (small population reliability and small sample size). Taking into account the variability of sample alpha with an interval estimator may lead to retaining reliable tests that would be otherwise rejected. Here, the authors performed simulation studies to investigate the behavior of asymptotically distribution-free (ADF) versus normal-theory interval estimators of coefficient alpha under varied conditions. Normal-theory intervals were found to be less accurate when item skewness >1 or excess kurtosis >1. For sample sizes over 100 observations, ADF intervals are preferable, regardless of item skewness and kurtosis. A formula for computing ADF confidence intervals for coefficient alpha for tests of any size is provided, along with its implementation as an SAS macro.     

American Indian Historical Trauma: Community Perspectives from Two Great Plains Medicine Men

The field of community psychology has long been interested in the relations between how community problems are defined, what interventions are developed in response, and to what degree power is distributed as a result. Tensions around these issues have come to the fore in debates over the influence of historical trauma (HT) in American Indian (AI) communities. After interviewing the two most influential medicine men on a Great Plains reservation to investigate how these tensions were being resolved, we found that both respondents were engaging with their own unique elaboration of HT theory. The first, George, engaged in a therapeutic discourse that reconfigured HT as a recognizable but malleable term that could help to communicate his “spiritual perspective” on distress and the need for healing in the reservation community. The second, Henry, engaged in a nation-building discourse that shifted attention away from past colonial military violence toward ongoing systemic oppression and the need for sociostructural change. These two interviews located HT at the heart of important tensions between globalization and indigeneity while opening the door for constructive but critical reflection within AI communities, as well as dialogue with allied social scientists, to consider how emerging discourses surrounding behavioral health disparities might be helpful for promoting healing and/or sociostructural change.     

Psychological‐Mindedness and American Indian Historical Trauma: Interviews with Service Providers from a Great Plains Reservation

The concept of historical trauma (HT) was developed to explain clinical distress among descendants of Jewish Holocaust survivors and has since been ascribed new meanings to account for suffering in diverse contexts. In American Indian (AI) communities, the concept of AI HT has been tailored and promoted as an expanded notion of trauma that combines psychological injury with historical oppression to causally connect experiences with Euro‐American colonization to contemporary behavioral health disparities. However, rather than clinical formulations emphasizing psychological injury, a focused content analysis of interviews with 23 AI health and human service providers (SPs) on a Great Plains reservation demonstrated strong preferences for socio‐cultural accounts of oppression. Reflective of a local worldview associated with minimal psychological‐mindedness, this study illustrates how cultural assumptions embedded within health discourses like HT can conflict with diverse cultural forms and promote “psychologized” perspectives on suffering that may limit attention to social, economic, and political determinants of health.     

Socio-technical communication: The hybrid space and the OLB model for science-based cyber education

Lessons from safety-critical sociotechnical systems, such as aviation and acute medical care, demonstrate the importance of the human factor and highlight the crucial role of efficient communication between human agents. Although a large proportion of fatal incidents in aviation have been linked to failures in communication, cognitive engineering provides the theoretical framework to mitigate risks and increase performance in sociotechnical systems not only in the civil sector, but also in the military domain. Conducting cyber operations in multidomain battles presents new challenges for military training and education as the increased importance of psychological factors such as metacognitive skills and perspective-taking both in lower and higher ranking staff, becomes more apparent. The Hybrid Space framework (Jøsok et al., 2016) provides a blueprint for describing the cognitive and behavioral constraints for maneuvering between socio-technical and cyber-physical systems whilst cooperating, coordinating or competing with accompanying cognitive styles in the chain of command. We apply the Hybrid Space framework to communicative challenges in the military cyber domain and suggest a three-phase Orienting, Locating, Bridging model for safe and efficient communication between partners. Based on the educational principles of the Norwegian Defence Cyber Academy, we discuss the required skill-sets and knowledge in which cyber officer cadets are trained and taught early in their education, and how these refer to the theoretical framework of the Hybrid Space and the key principles of communication as defined in cognitive engineering.