From ABLE to TAPAS: A New Generation of Personality Tests to Support Military Selection and Classification Decisions

This article discusses 3 modern forced-choice personality tests developed for the U.S Armed Services to provide resistance to faking and other forms of response distortion: the Assessment of Individual Motivation, the Navy Computerized Adaptive Personality Scales, and the Tailored Adaptive Personality Assessment System. These tests represent the transition from Likert to forced-choice formats and from static to computerized adaptive item selection to meet the challenges of large-scale, high-stakes testing environments. For each test, we briefly describe the personality constructs that are assessed, the response format and scoring methods, and selected ongoing research and development efforts. We also highlight the potential of these tests for personnel selection, classification, and diagnostic screening purposes.     

The influence of retailer size on consumer responses to social responsibility initiatives

The current research demonstrates that retailer size moderates the positive effect of corporate social responsibility (CSR) initiatives on consumer outcomes such as increased purchase intentions and perceptions of CSR. Retailer size is introduced as a factor that leads consumers to respond more positively to small retailers' CSR activities, relative to CSR from large retailers. We also provide support for the ability of consistency/commitment to CSR to serve as a means by which larger retailers can counter their size liability. We replicate and generalize these results across multiple CSR forms. Implications for retail management and future research are discussed.     

Predictors of Diabetes Fatalism Among Arabs: A Cross-Sectional Study of Lebanese Adults with Type 2 Diabetes

Fatalism is a grounded cultural belief that is common among Arabs and is known to hinder self-care in chronic diseases including diabetes (Nabolsi and Carson in Scand J Caring Sci 25(4):716–724, 2011). The purpose of this study is to identify predictors of diabetes fatalism in this population. Data on 280 Lebanese patients with type 2 diabetes (mean age 58.24 ± 13.48 years; mean HbA1c 7.90 ± 1.90%; 53.76% females) recruited from one hospital in greater Beirut, Lebanon, and from the community using snowballing technique were examined. Multiple linear regression was used to assess the independent association between diabetes fatalism and demographic and patient characteristics. Age (β = ?.14, 95% CI ?.27, ?.002), BMI (β = .35, 95% CI .15; .54), level of education (β = ?3.98, 95% CI ?7.64; ?.32) and number of diabetes problems (β = ?5.03, 95% CI ?9.89; ?.18) were significantly associated with diabetes fatalism in the regression model. The combination of demographic and patient characteristics accounted for 14.5% of the variance in diabetes fatalism scores’ change. Patients with type 2 diabetes who exhibited more fatalistic attitudes were younger, of lower education levels, had higher BMI and had fewer diabetes comorbidities. Such findings are crucial for healthcare practitioners to identify fatalistic patients and to tailor culturally appropriate strategies in diabetes management. Further studies are warranted to explore other potential determinants of diabetes fatalism with larger sample and non-Lebanese Arabic population.     

Influence of Social Support Received in Online and Offline Contexts on Satisfaction With Social Support and Satisfaction With Life: A Longitudinal Study

People around the globe now regularly interact with family and friends through social network sites (SNSs). In this article, we investigated the differences between social interactions in online and offline contexts as well as users' satisfaction with the social support received in these contexts. It was hypothesized that SNSs are better set up for the task of leveraging informational support but that they are inferior to offline contexts in terms of emotional or instrumental support. We further assumed that users might feel similarly satisfied with how support is rendered online and offline but that only social support transacted in offline contexts would contribute to overall life satisfaction. All hypotheses were supported by longitudinal data (N = 327) that were used to investigate social support over the course of 2 years with 4 points of measurement.     

The Role of a Narrative's Emotional Flow in Promoting Persuasive Outcomes

The study of narrative persuasion has increased dramatically in the past decade. Whereas much of this research focuses on story and character involvement, the role of emotion—and emotional flow specifically—has been understudied. In this article, we explore the multiple ways that the desire for and the experience of emotional shifts may promote the persuasive influence of narratives. First, we propose that the desire for an emotional shift (e.g., mood management) can guide message selection. Then, the emotional flow, or the series of emotional shifts in response to the unfolding story, may promote and sustain continued engagement with the narrative world. As such, influence of the narrative is likely enhanced. We then argue that the heightened state of narrative engagement and its associated emotional states have implications for post-message attitudes, both short-term attitude change as well as over-time change via emotion-driven topic involvement and social sharing. A research agenda for greater integration of emotion into narrative research is proposed.     

Pilot programs in newborn screening

The term "pilot study" has been used over the years to describe the evaluation of the many elements involved in deciding whether a proposed condition should be added to a newborn screening (NBS) panel, and until recently, was unilaterally used to describe the evaluation of the assay to be used before the condition was officially adopted by a state for its newborn screening panel. Since Guthrie's introduction of screening for PKU, each time a new condition was added to the panel, the screening assay itself was validated through a population-based trial, in which the test was performed with de-identified samples to avoid association between the test result and the infant. This is considered by the laboratory as the "pilot phase" of adding a new condition. To advance the science of NBS, especially to accommodate new technologies that may provide new types of information (genetic versus physiological) for each new condition, pilot programs are essential. Involvement of the clinical community serves to improve these evaluations and provides the needed clinical validation of decisions made as a result of it. This paper describes the historical context of pilot programs in population-based NBS that utilize laboratory-based markers as indicators of concern; specifically, three applications that demonstrate different approaches to the use of pilots in adding conditions to a NBS panel are described.