Posttraumatic symptoms,posttraumatic growth,and internal resources among the general population in Greece: A nation-wide survey amid the first COVID-19 lockdown

Scarce and inconclusive evidence exists on the mental health consequences of the COVID-19 lockdown. This study examined the psychological impact of the lockdown in Greece, resilience levels, use of coping strategies, and identified high-risk groups. A sample of 1661 participants (mean age = 39.5, SD = 12.2; 75.5% females) completed a web-based survey, which was distributed through social networking sites, webpages, and personal contacts. Posttraumatic symptoms, posttraumatic growth, resilience, and coping strategies were assessed. Different population subgroups suffered the impact of lockdown disproportionately. Healthcare workers, females, younger, less educated, and those living alone reported higher rates of posttraumatic stress symptoms. Females achieved more posttraumatic growth and were using coping strategies more frequently than men. Men, older, healthcare workers, and those with a partner were more resilient. Interventions need to be developed to target personal resources, protect vulnerable populations, facilitate posttraumatic growth, and ameliorate wellbeing and quality of life.     

Using warnings to reduce categorical false memories in younger and older adults

Warnings about memory errors can reduce their incidence, although past work has largely focused on associative memory errors. The current study sought to explore whether warnings could be tailored to specifically reduce false recall of categorical information in both younger and older populations. Before encoding word pairs designed to induce categorical false memories, half of the younger and older participants were warned to avoid committing these types of memory errors. Older adults who received a warning committed fewer categorical memory errors, as well as other types of semantic memory errors, than those who did not receive a warning. In contrast, young adults' memory errors did not differ for the warning versus no-warning groups. Our findings provide evidence for the effectiveness of warnings at reducing categorical memory errors in older adults, perhaps by supporting source monitoring, reduction in reliance on gist traces, or through effective metacognitive strategies.     

Doors for memory: A searchable database

The study of human long-term memory has for over 50 years been dominated by research on words. This is partly due to lack of suitable nonverbal materials. Experience in developing a clinical test suggested that door scenes can provide an ecologically relevant and sensitive alternative to the faces and geometrical figures traditionally used to study visual memory. In pursuing this line of research, we have accumulated over 2000 door scenes providing a database that is categorized on a range of variables including building type, colour, age, condition, glazing, and a range of other physical characteristics. We describe an illustrative study of recognition memory for 100 doors tested by yes/no, two-alternative, or four-alternative forced-choice paradigms. These stimuli, together with the full categorized database, are available through a dedicated website. We suggest that door scenes provide an ecologically relevant and participant-friendly source of material for studying the comparatively neglected field of visual long-term memory.     

长期合作学习小组中的集体智慧及其影响因素研究

合作学习是应对信息时代学习困境的有效途径。研究一探索了合作学习群体中是否存在集体智慧,研究二比较了互动小组和名义小组在创新观点产生任务中的表现,研究三考察了合作学习小组在群体决策中的表现及其成员的观点和主观自信的影响。研究表明：在长期合作学习小组的多重任务表现中存在代表群体整体一般能力的C因素,即存在集体智慧;在创新观点的产生中,社会影响不利于集体智慧发挥作用;在困难问题解决的判断与决策中,集体智慧发挥的作用更明显,较不会受到个别成员的主观自信、实力和多数人意见左右。建议在合作学习等群体活动中通过策略选择和规则设置促进集体智慧发挥作用。     

让建言更多含金量：员工建言质量的前因机制

员工高质量的建议是企业提质增效的重要途径。然而, 以往研究主要聚焦在员工的“建言参与”和“建言数量”上, 忽略了一个最本质的问题——员工的建言质量如何?为解决这一关键问题, 分别从员工建言质量的内涵、测量、前因机制的角度构建一个关于员工建言质量的系统研究。研究一基于扎根理论, 探讨员工建言质量的内涵与结构, 开发员工建言质量的测量工具; 研究二是基于内隐建言理论, 从个体和团队两个层面探讨员工与领导的批判性思维对员工建言质量的影响机制。理论贡献在于推动员工建言质量的理论构建, 拓展批判性思维理论、内隐建言理论的应用。     

Infant illness severity and family adjustment in the aftermath of NICU hospitalization

Up to 15% of parents have an infant who will spend time in a neonatal intensive care unit (NICU). After discharge, parents may care for a medically fragile infant and worry about their development. The current study examined how infant illness severity is associated with family adjustment. Participants included parents with infants who had been discharged from the NICU 6 months to 3 years prior to study participation (N = 199). Via a Qualtrics online survey, parents reported their infants’ medical history, parenting stress, family burden, couple functioning, and access to resources. Multivariable regression analyses revealed that more severe infant medical issues during hospitalization (e.g., longer length of stay and more medical devices) were associated with greater family burden, but not stress or couple functioning. Infant health issues following hospitalization (i.e., medical diagnosis and more medical specialists) were associated with greater stress, poorer couple functioning, and greater family burden. Less time for parents was associated with increased stress and poorer couple functioning. Surprisingly, parents of infants who were rehospitalized reported less stress and better couple functioning, but greater family burden. Family-focused interventions that incorporate psychoeducation about provider−patient communication, partner support, and self-care may be effective to prevent negative psychosocial sequelae among families.     

The Impact of Comprehensive Community Initiatives on Population-Level Child,Youth, and Family Outcomes: A Systematic Review

Comprehensive community initiatives (CCIs) represent a popular method for creating systemic change, yet there is a dearth of evidence on their effectiveness (Zaff, Pufall Jones, Donlan, Lin, & Anderson, 2016). This article presents a systematic review of the evidence on the population-level impact of CCIs, focusing specifically on documented effects from studies using an experimental or quasi-experimental design. Of 1,947 articles identified through a database and hand search, 25 articles examining six different CCIs—most of which employed prevention science frameworks—met the review inclusion criteria. The results of this review show that CCIs can strengthen protective factors and reduce risk factors, delay initiation of and reduce substance use, and reduce the likelihood of, and delay engagement in, violent and/or delinquent behaviors. Impacts have been documented as soon as one year after initial intervention, and as early as 7^th grade, with effects sustained as long as seven years post-intervention, and as late as a year post-high school. However, relative to the prevalence of CCIs as a practical intervention, the evidence base is small, potentially dated, and focused on a narrow set of outcomes and populations. Recommendations for interpreting the evidence base are discussed, including methodological limitations and implications for future work.     

ACACIA: an agent-based program for simulating behavior to reach long-term goals

We present ACACIA, an agent-based program implemented in Java StarLogo 2.0 that simulates a two-dimensional microworld populated by agents, obstacles and goals. Our program simulates how agents can reach long-term goals by following sensorial-motor couplings (SMCs) that control how the agents interact with their environment and other agents through a process of local categorization. Thus, while acting in accordance with this set of SMCs, the agents reach their goals through the emergence of global behaviors. This agent-based simulation program would allow us to understand some psychological processes such as planning behavior from the point of view that the complexity of these processes is the result of agent–environment interaction.     

A classification of computer security incidents based on reported attack data

Previous studies of computer criminals have attempted to differentiate between offenders, but have not used data from the actual attacks. Drawing on theories from investigative psychology as well as information security, the current study differentiates 2755 computer security incidents using information about Method of Operation (MO), Impact, and Source Sector from reported attacks. Multivariate statistical analyses were applied on the data‐matrix of 22 variables and showed the co‐occurrences of various aspects of computer security incidents. A radex structure emerged where the high frequency variables were positioned in the centre of the data‐plot. Based on a previously developed taxonomy of cyber intrusions, the results of the analysis showed that it was possible to draw inferences about the less informative category of Objective, from information about Attacker, Tools, Access, and Results. By applying the division‐lines indicating the Objectives of Challenge/Status, Destruction, Political Gain and Financial Gain on the SSA‐plot, it was shown how the taxonomies could be further developed by taking into account the relationships between the categories. Copyright © 2005 John Wiley & Sons, Ltd.