Predictors of Client Attrition in a University-Based Community Counseling Clinic

The purpose of this study was to investigate how symptom distress, social role, interpersonal relationships, gender, age, number of supports, and education level predict client attrition in a community sample. Using binary logistic regression and cross-sectional data, the authors examined the predictive impact of 8 variables on adult client attrition in a university-based community counseling clinic. Results indicated that education level, interpersonal relationships, and number of supports significantly predicted attrition. In this sample, gender, age, symptom distress, social role, and race did not significantly predict attrition. Implications for clinical assessment and counseling practice are discussed.     

大学生情绪智力与心理健康的关系:社会支持的中介作用和手机依赖的调节作用

以621名大学生为被试,采用情绪智力量表、心理症状自评量表、青少年社会支持评定量表、手机依赖指数量表为研究工具,探讨情绪智力与心理健康之间的关系,并在此基础上构建一个有调节的中介模型,探究社会支持的中介作用以及手机依赖在这一中介过程中的调节作用。结果发现：（1）情绪智力对心理健康的影响显著,社会支持在其中起部分中介作用,即情绪智力既可以直接影响心理健康,还可以通过社会支持的中介作用间接影响心理健康;（2）手机依赖调节了情绪智力通过社会支持影响大学生心理健康的中介过程的后半路径,相对于低手机依赖的大学生,高手机依赖大学生的社会支持对心理健康的影响更为显著。关注大学生心理健康,不仅要重视个体因素、生态环境因素的单独影响,更要重视这些因素的联合作用。     

Stigma towards psychosis: Cross‐cultural differences in prejudice,stereotypes, and discrimination in White British and South Asians

Public stigma towards people with mental health problems has been demonstrated in Western societies. Little is known about non‐Western cultures and whether cultures differ in their perceptions of people with mental health problems. Aim of this study was to examine cultural differences in prejudice, stereotypes, and discrimination towards people with psychosis. Participants were from White British and South Asian backgrounds (N = 128, aged 16–20 years) recruited from two schools and colleges in the United Kingdom. They completed a cross‐sectional survey on affective, cognitive, and behavioural dimensions of stigma. Results revealed significant cultural differences on all three stigma dimensions. South Asians attributed higher anger (prejudice) and dangerousness (stereotypes) to people with psychosis than White British. They also reported lower willingness to help, greater avoidance, and higher endorsement of segregation (discrimination). The effects of ethnic group on helping intentions, avoidance, and segregation endorsement were mediated by anger and by dangerousness. Understanding cultural differences in stigma towards psychosis will be important for designing stigma interventions as well as treatments for people with different cultural backgrounds.     

Perceived discrimination is associated with poorer health and well‐being outcomes among Pacific peoples in New Zealand

Our study investigated the association between perceived discrimination and outcomes related to health and well‐being for Pacific adults in New Zealand. We examined personal and group discrimination from the 2013 wave of the New Zealand Attitudes and Values Study (n = 429 women and 196 men). Personal discrimination was associated with poorer health and well‐being outcomes (higher psychological distress and lower self‐esteem, subjective evaluation of health, satisfaction with life and personal well‐being). Group discrimination, in contrast, was associated with poorer well‐being but not health outcomes (lower subjective evaluation of health and personal well‐being). These findings corroborate previous research and highlight the corrosive effect of discrimination towards health and well‐being among Pacific communities in New Zealand.     

Building cardiovascular disease competence in an urban poor Ghanaian community: A social psychology of participation approach

This paper describes conceptual, methodological, and practical insights from a longitudinal social psychological project that aims to build cardiovascular disease (CVD) competence in a poor community in Accra, Ghana's capital. Informed by a social psychology of participation approach, mixed method data included qualitative interviews and household surveys from over 500 community members, including people living with diabetes, hypertension, and stroke, their caregivers, health care providers, and GIS mapping of pluralistic health systems, food vending sites, bars, and physical activity spaces. Data analysis was informed by the diagnosis‐psychosocial intervention‐reflexivity framework proposed by Guareschi and Jovchelovitch. The community had a high prevalence of CVD and risk factors, and CVD knowledge was cognitive polyphasic. The environment was obesogenic, alcohol promoting, and medically pluralistic. These factors shaped CVD experiences and eclectic treatment seeking behaviours. Psychosocial interventions included establishing a self‐help group and community screening and education. Applying the “AIDS‐competent communities” model proposed by Campbell and colleagues, we outline the psychosocial features of CVD competence that are relatively easy to implement, albeit with funds and labour, and those that are difficult. We offer a reflexive analysis of four challenges that future activities will address: social protection, increasing men's participation, connecting national health policy to community needs, and sustaining the project.     

Do infants have a sense of numerosity? A p‐curve analysis of infant numerosity discrimination studies

Research demonstrating that infants discriminate between small (e.g., 1 vs. 3 dots) and large numerosities (e.g., 8 vs. 16 dots) is central to theories concerning the origins of human numerical abilities. To date, there has been no quantitative meta‐analysis of the infant numerical competency data. Here, we quantitatively synthesize the evidential value of the available literature on infant numerosity discrimination using a meta‐analytic tool called p‐curve. In p‐curve the distribution of available p‐values is analyzed to determine whether the published literature examining particular hypotheses contains evidential value. p‐curves demonstrated evidential value for the hypotheses that infants can discriminate between both small and large unimodal and cross‐modal numerosities. However, the analyses also revealed that the published data on infants’ ability to discriminate between large numerosities is less robust and statistically powered than the data on their ability to discriminate small numerosities. We argue there is a need for adequately powered replication studies to enable stronger inferences in order to use infant data to ground theories concerning the ontogenesis of numerical cognition.     

Effects of training and display content on Level 2 driving automation interface usability

IntroductionLevel 2 driving automation features, such as adaptive cruise control (ACC) combined with lane centering, primarily communicate their operating statuses through the instrument cluster. It remains unclear how interface-specific training and display content influence the ability to understand Level 2 activity in production vehicles.MethodsEighty participants viewed videos recorded from the driver’s point of view in a variety of driving scenarios with Level 2 activity displayed in the instrument cluster of a 2017 Mercedes-Benz E-Class. Half viewed one of two instrument cluster layouts (simple or complex), and half received an orientation to the interface before the experiment. After each video, they were asked about the scenario they had just seen. We then examined what information in the displays participants used to identify Level 2 activity and the usability of the displays.ResultsTraining improved recognition accuracy of when lane centering was temporarily inactive and understanding of why it was inactive. Neither training nor display content affected the ability to recognize when ACC had adjusted the vehicle’s speed or detected a vehicle ahead, or when ACC initially did not detect a lead vehicle and understanding of why it had not detected it. Both factors influenced which sources of information participants used to determine Level 2 activity. Recognition accuracy of system activity improved when participants used valid sources of information. Training, but not display content, improved lane centering usability, but not ACC usability.DiscussionBasic training improves detection of notifications that potentially require further driver action, but not of those that display persistent status information. Training does not result in full understanding of all system notifications or functional limitations, which reinforces the need for intuitive, salient communication about system behavior and its limitations.     

The impact of navigation system display size and environmental illumination on young driver mental workload

Driver distraction is a major cause of road crashes and has a great influence on road safety. In vehicles, one of the common distracting sources is navigation systems (NSs). The navigation system (NS) can distract the driver due to following directions and reading the provided information through its display. These tasks take the driver’s attention from the primary task of driving and may cause poor driving performance, increasing the risk of crashes. In this paper, the effect of the environment (i.e., urban areas and rural areas), the navigation system display (NSD) size, environmental illumination, and gender on young drivers between the ages of 18 and 29 years mental workload was investigated using a simulated driving experiment. To evaluate each driving condition, the NASA-TLX (NASA Task Load Index) workload assessment tool, and a distraction evaluation element, were introduced and used to assess the overall workload, the workload subscales and the distraction by the NSD. The assessment showed a higher perceived overall workload for urban areas and night driving as compared to a rural areas and daytime driving. Moreover, the results showed a greater perceived distraction by the NSD in urban areas compared to driving in rural areas. The subjects also felt distracted when using the small NS compared to using the large NS. The study concluded that urban areas driving, and night driving creates higher perceived workload than rural areas and daytime driving. Furthermore, small NSD leads to more perceived distraction than large NSD while driving. The NSD designers may utilize this research findings to optimize NSD designs to improve driving safety, performance and comfort. Moreover, this study contributes to our understanding of the effect of the NSD size on driving workload and distraction.     

Evaluating agents’ trustworthiness within virtual societies in case of no direct experience

A great deal of effort has been made to introduce trust models to assess trustworthiness within virtual societies. The great majority of them makes extensive use of direct experience as the main source of information, considering recommendation/reputation and inferential processes just later, as a secondary mechanism to refine trust assessment. In this kind of networks, unfortunately, direct experience might not always represent the best solution to assess trustworthiness. In fact, their highly dynamic structure promotes an increase of the average number of interconnections among agents. This in turn negatively affects the degree of knowledge the agents possess about each specific individual, i.e. direct experience. To date, however, it has not been said much about how to face these situations.It is fundamental to find an effective approach for trust assessment even in lack of direct experience, which is the central focus of this research. By the means of a multi-agent social simulation, we consider the situation in which an agent can just access indirect knowledge for trust assessment, namely recommendations of specific individuals or whole categories of individuals. Then, we compare the efficiency of these two approaches in order to identify when it is more convenient to rely on the first or on the second one. As expected, our results confirm that the dynamic nature of these networks strongly affects the role of categories. We modeled this feature introducing the “turnover” in the simulations, whereby the higher is the turnover the more convenient it is relying on categories. Besides this confirmatory result, our simulations highlight the higher degree of robustness of categories in the presence of unreliable recommenders. Such a result is even more significant if there is no available information about how reliable the recommenders are.The results we obtained are in accordance with the current literature and can be of important interest for the development of this sector.