科技信任、管理信任及其对公众水灾风险认知的影响——基于长江中下游的社会调查

信任和风险在一定程度上互为因果,两者通过认知行为决策及行为后果这一环节构建互馈关系。探索公众对社会减灾能力的信任及其对灾害风险认知的影响机制,有助于揭示灾害风险的潜在因素,调适风险认知与避灾行为,从而降低灾害风险。选取水灾发生频繁、强度大、防洪措施多样的长江中下游地区为研究区,运用随机抽样调查和入户访谈相结合的方式获取资料,研究公众的水灾科技信任和管理信任的水平、影响机制、动机-效应差异。主要结论有:①公众科技信任水平普遍高于管理信任。信任水平受到公众性别、年龄、灾害经历、城乡差异等因素不同程度的影响,信任具有区域共构的特点;②科技信任改变了公众水灾风险认知,加强了其灾害应对信心,降低了其对受灾风险的估测,对其避灾行为倾向影响显著,而管理信任对公众水灾风险认知及防灾备灾行为倾向的影响均不大;③信任的产生动机以认可减灾措施有用性为前提,科技减灾和管理减灾由于具有不同的减灾原理及作用时段,导致了公众的不同信任动机及其效应。     

动机、满足、兴趣——英语学习中不能忽视的因素

在英语学习中动机、满足、兴趣是不能忽视的因素,只有明确自己学英语的动机,通过多方努力感受到学习的满足,产生学习英语浓厚的兴趣,才能真正使英语学习走向高效,走向成功。     

Motivating the Workforce: The Value of External Health and Safety Awards

This paper considers the prevalence and use of external health and safety awards by companies in the United Kingdom. A review is provided of the types of award schemes currently available. The results from two small research projects present data on the benefits that motivate participation in these awards. The results demonstrate that award schemes are used to motivate the workforce, and a comparison is made with company incentive schemes. However, there are a number of further benefits that can be identified. These benefits may have commercial implications, and include improved opportunities in the competitive tendering process and strengthening of community relations. Benefits may also include positive feedback for the health and safety professional that could lead to acknowledgement by senior management of their contribution to the health and safety performance in the organization.     

基于Meta分析的高校教师职业压力失范行为JD-R模型*

为深入了解高校教师职业压力失范行为的形成机制,以工作需求-资源(JD-R)模型为理论框架,确定职业压力失范行为的工作需求、工作资源、损耗因素及激励因素,提出各要素间的假设作用关系,构建高校教师职业压力失范行为JD-R模型;通过文献检索、文献筛选及文献编码过程,纳入中英文文献共125篇,总样本量为79 310,采用Meta分析定量验证该模型。结果表明:在高校教师职业压力失范行为JD-R模型中,工作需求、工作资源、损耗因素、激励因素中各包含5、6、2、4个因素,各要素间作用关系显著;高校教师职业压力失范行为由工作需求与工作资源通过损耗因素与激励因素的双重心理过程导致。     

煤矿事故预防中的行为激励机制研究

在分析矿业及非矿业事故现状及其原因的基础上,对人的不安全行为进行研究,激励安全行为,抑制不安全行为,将大大减少工作中产生的意外情况,提高人的可靠性,从而降低事故发生的频率.笔者以行为科学和安全激励理论为基础,分析激励与安全行为的关系,依据煤矿事故控制和预防机理,提出煤矿安全行为激励体系构建的思路和构架,该研究成果对减少事故与伤害、提高矿业安全绩效有一定的实用意义和参考价值.     

Influence of volunteer and project characteristics on data quality of biological surveys

Volunteer involvement in biological surveys is becoming common in conservation and ecology, prompting questions on the quality of data collected in such surveys. In a systematic review of the peer‐reviewed literature on the quality of data collected by volunteers, we examined the characteristics of volunteers (e.g., age, prior knowledge) and projects (e.g., systematic vs. opportunistic monitoring schemes) that affect data quality with regards to standardization of sampling, accuracy and precision of data collection, spatial and temporal representation of data, and sample size. Most studies (70%, n = 71) focused on the act of data collection. The majority of assessments of volunteer characteristics (58%, n = 93) examined the effect of prior knowledge and experience on quality of the data collected, often by comparing volunteers with experts or professionals, who were usually assumed to collect higher quality data. However, when both groups’ data were compared with the same accuracy standard, professional data were more accurate in only 4 of 7 cases. The few studies that measured precision of volunteer and professional data did not conclusively show that professional data were less variable than volunteer data. To improve data quality, studies recommended changes to survey protocols, volunteer training, statistical analyses, and project structure (e.g., volunteer recruitment and retention).