Nursing Motives for Helping Scale (N-MHS): reliability and validity

This paper presents the Nursing Motives for Helping Scale (N-MHS), an instrument designed for the evaluation of three of the four motives for helping derived from Batson's helping pathway theory. Dimensionality was analyzed by means of principal component analysis (n = 113), followed by confirmatory factor analysis. A 3-factor structure (corresponding to Batson's differentiation among altruistic motivation, reward-seeking motivation, and punishment-avoidance motivation, respectively), with 9 items distributed in three latent variables, revealed an acceptable fit to the data. Alpha values (.60 - .74) showed that internal consistency was acceptable for a newly developed subscale with a small number of items. Convergence validity was evaluated with correlations between N-MHS subscales scores and scores on the Professional Expectations Scale (Garrosa, Moreno-Jiménez, Rodríguez-Carvajal, and Morante, 2005). The three resulting subscales are a promising instrument for the evaluation of three nursing motives for helping that can contribute to reduce the potential risks and to improve the potential benefits both for the nurse and the patient.     

Mosaic trisomy 20 and mitigation in capital crimes sentencing: A review and case report

Trisomy 20 is a genetic abnormality in which individuals have an extra copy of chromosome 20. Complete trisomy 20 is rare and believed to be incompatible with life. A mosaic form of trisomy 20, in which only some cells or tissues contain the extra chromosome, is a relatively commonly encountered chromosomal abnormality found during prenatal testing, and c. 90% result in a normal phenotype. However, despite the absence of a consistent phenotype, certain findings have been reported across multiple cases of mosaic trisomy 20. These include an array of morphological findings, developmental delays, and learning disabilities. Beyond physical manifestations, a wide range of developmental and learning delays have also been reported. In this work, we provide an overview of the trisomy 20 literature and a case report of a young adult male with mosaic trisomy 20 who committed homicide. His developmental and life history, eventual diagnosis of mosaic trisomy 20, similarities and differences in his condition compared with prior research findings, and potentially new phenotypic findings associated with trisomy 20 that he manifested (childhood visual hallucinations, self‐injury, polydactyly) are presented. Additionally, the potential role of this genetic diagnosis in his neuropsychiatric history and its successful application as a mitigating factor at his capital sentencing trial are described. We did not identify other similar cases during our search of major scientific and legal databases. As a backdrop, the use of genetics in criminal trials is on the rise, and courts are increasingly likely to accept behavioral genetics evidence; therefore, it is crucial that the legal system is well acquainted with the opportunities and limitations of these approaches.     

Actor‐Partner Interdependence Models (APIM) and Voting Behavior: Methodology and Applications

Recently, the social sciences have witnessed a rising interest in dyadic design, as an efficient way to disentangle mechanisms of interpersonal influence. Despite the relevance of this design to political research, few efforts have been made to collect and efficiently analyze dyadic data. In this article, we suggest the Actor‐Partner Interdependence Model as a useful tool to test bidirectional effects in dyadic data on political attitudes and behaviors. The model explicitly assumes that members of a dyad (reciprocally identified as actor and partner) involved in political communication are interdependent and influence each other. We apply the model to estimate the effect of partner's party identification on actor's vote choice, using 1996 Indianapolis–St. Louis dyadic data. Results show that partner's party identification is significantly associated with vote choice. Moreover, we show that influence between dyad members is moderated by their intimacy and that an increased difference in socioeconomic status between dyad members tips the balance of the effect in favor of the individual with more resources. Our conclusions point to the effectiveness of APIM in modeling interdependent asymmetric relations and call for increasing efforts in collecting dyadic data and in developing proper tools for their analysis.     

Biotechnology and the New Right: Neoconservatism's Red Menace

Although the neoconservative movement has come to dominate American conservatism, this movement has its origins in the old Marxist Left. Communists in their younger days, as the founders of neoconservatism, inverted Marxist doctrine by arguing that moral values and not economic forces were the primary movers of history. Yet the neoconservative critique of biotechnology still borrows heavily from Karl Marx and owes more to the German philosopher Martin Heidegger than to the Scottish philosopher and political economist Adam Smith. Loath to identify these sources—or perhaps unaware of them—neoconservatives do not acknowledge these intellectual underpinnings or their implications. Thus, in the final analysis, their critique is incoherent and even internally inconsistent. By not acknowledging and embracing their intellectual roots, neoconservatives are left with a deeply ambivalent and often confused view of biotechnology and the society that gives rise to it.