What could be My Next Job? Using Flat Information Structures to Generate Creative Future Career Ideas

In a dynamic labor market, it is important to help people combine information and generate creative solutions to cope with complex career challenges. In the present research, we apply the theory of information structure to creative career idea generation and hypothesize that flat information structures—that is, structures in which the information is disorganized—are more conducive to creativity than hierarchical information structures—that is, structures in which information is organized in higher‐order categories. In two experimental studies, participants had to combine career information related to self and work preferences that was presented either in flat or hierarchical structures. We found that flat information structures, compared with hierarchical information structures, led to future career ideas that were more creative on average. Our results suggest that cognitive flexibility explains the effect of information structure on the creativity of career ideas. Theoretical implications and suggestions for career management practices are discussed.     

Teachers’ Perceptions of Students’ Creativity in China’s Classrooms: The Role of Students’ Academic Achievement and Misbehaviors

Teachers can be biased, especially toward low achievers and students with behavioral issues. However, creative students often appear to be disruptive in the classroom, and many of them struggle academically. The purpose of the present study was to examine the extent to which teachers’ perceptions of students’ creativity is associated with students’ academic achievement and classroom (mis)behaviors, as well as to examine the interaction between these two factors. Three hundred and fifty‐four eighth‐grade students selected from five middle schools in China participated in this study. Using achievement scores, peer nominations, a divergent thinking test, a self‐rated ideational behavior scale, and teacher ratings, the present study found that, whereas creativity has no significant relationship with teachers’ perceptions, academic achievements and misbehavior are significantly associated within structors’ perceptions. The achievement bias resulted in the underestimation of low achievers’ creativity, even when the low achievers were highly creative. More nuances emerged when student misbehaviors were considered. Specifically, misbehaving low achievers’ originality was further underestimated even when they were highly original. In contrast, teachers overestimated well‐behaved high achievers’ creativity, even when the students comprised the lowest creativity group. The results are further discussed from a socio‐cultural perspective.     

父母协同教养与学前儿童社会行为的关系:亲子关系和同胞关系的链式中介作用

以河南省某市四所幼儿园大、中、小班共196名学前儿童及其父母和教师为研究对象,基于家庭系统理论,采用父、母填写的父母感知协同教养量表和亲子关系量表、母亲填写的儿童早期同胞关系质量问卷和幼儿教师报告的儿童行为量表探讨亲子关系、同胞关系在父母感知协同教养与学前儿童社会行为之间的中介作用。结果发现：（1）母子冲突和母子亲密分别在母亲感知协同教养与同胞冲突和同胞温暖间起部分中介作用;父子冲突和父子亲密分别在父亲感知协同教养与同胞冲突和同胞温暖间起完全中介作用;（2）父/母子冲突和同胞冲突在母亲感知协同教养和儿童攻击行为间起链式中介作用;父子冲突和同胞冲突在父亲感知协同教养和儿童攻击行为间起链式中介作用。     

错失恐惧对亲社会行为的影响

网络信息的纷繁复杂,让人们担忧因错失信息而导致自身的利益受损,本研究探讨这种现象的加剧对个体的亲社会行为的影响。本研究分别使用问卷法（研究1）和实验法（研究2）,探究错失恐惧对亲社会行为的影响以及在其过程中人际安全感的中介作用和基本心理需要满足的调节作用。结果发现：（1）个体的错失恐惧程度负向预测了其亲社会行为;（2）人际安全感在错失恐惧对亲社会行为的影响中起中介作用,高的错失恐惧水平会降低个体的人际安全感,从而减少个体的亲社会行为;（3）基本心理需要满足在错失恐惧对亲社会行为的负向预测作用中起调节作用,当个体的基本心理需要满足程度低的时候,错失恐惧对亲社会行为的消极影响显著增强。     

职场排斥对培训行业员工建言行为的影响——有调节的中介作用模型

研究采用问卷法,以安徽、天津的培训机构中的401名在职员工为研究对象,以组织支持感作为中介变量,以积极心理资本作为调节变量,从资源保存理论的视角探讨了职场排斥对员工建言行为的影响。研究结果表明:(1)职场排斥对员工的建言行为具有负向预测作用,职场排斥水平越高,其建言行为水平越低。(2)组织支持感在职场排斥与建言行为之间起中介作用,职场排斥通过组织支持感影响员工的建言行为。(3)组织支持感的中介作用受到积极心理资本的调节,积极心理资本会增强组织支持感的中介作用。     

未来时间洞察力与大学生职业决策自我效能感的关系:领悟社会支持与自尊的链式中介

为考察未来时间洞察力对大学生职业决策自我效能感的影响及其作用机制,本研究采用未来时间洞察力量表、领悟社会支持量表、自尊量表和职业决策自我效能感量表,对756名高校学生进行调查。结果表明:(1)未来时间洞察力、领悟社会支持、自尊、职业决策自我效能感两两之间存在显著正相关;(2)社会支持和自尊在未来时间洞察力与职业决策自我效能感之间起显著的中介作用。具体为三条中介路径:一是社会支持的单独中介作用; 二是自尊的单独中介作用; 三是社会支持和自尊的链式中介作用。研究揭示了未来时间洞察力与大学生职业决策自我效能感的关系及其作用机制,拓展了大学生职业决策自我效能感的影响因素,对大学生的职业指导具有一定的现实意义。     

情绪智力对大学生生活满意度的影响:生涯适应力的中介作用与压力性生活事件的调节作用

选用情绪智力量表、生涯适应力量表、压力性生活事件量表和生活满意度量表对921名大学生进行调查,分析了情绪智力、生涯适应力、压力性生活事件和生活满意度之间关系。结果表明:(1)生涯适应力部分中介了情绪智力与大学生的生活满意度之间的关系;(2)压力性生活事件调节了这一中介过程的后半路径。因此,在情绪智力与大学生生活满意度的关系中,生涯适应力起到了部分中介作用,压力性生活事件起到了调节作用。     

COVID-19 and the Acceleration of Behavioral Parent Training Telehealth: Current Status and Future Directions

The SARS-COV-2 (COVID-19) pandemic and associated social distancing guidelines have accelerated the telehealth transition in mental health. For those providing Behavioral Parent Training (BPT), this transition has called for moving sessions that are traditionally clinic-based, active, and directive to engaging, supporting, and treating families of children with behavior disorders remotely in their homes. Whereas many difficulties accompany this transition, the lessons learned during the current public health crisis have the potential to transform BPT service delivery on a large scale in ways that address many of its long-standing limitations. We describe both challenges and opportunities and consider the possibilities inherent in a large scale BPT service delivery model capable of increasing the reach and impact of evidence-based treatment for all families.     

Effectiveness of the compensatory strategy adopted by older drivers: Difference between professional and non-professional drivers

It has been a controversial issue for the effect of ageing population on driving safety. Apparently, drivers’ physiological and cognitive performances deteriorate with age. However, older drivers may compensate for the elevated risk by adjusting their behaviors, known as compensatory strategy. Despite the extensive research on this topic, the compensatory strategy of older professional drivers is not well understood since many studies focused on the differences in compensatory behavior between older and young drivers. Professional drivers tend to be more skillful and able to cope with the unfavorable driving environments, thus presenting a higher capability to mitigate the risk. This study attempts to examine the compensatory behavior and its safety effect amongst older professional drivers, as compared to those of older non-professional drivers, using the driving simulator approach. In the driving simulator experiment, participants were asked to follow a leading vehicle for one hour, and two sudden brake events were presented. 41 (mid-aged and older) drivers completed the driving tests. Each participant was required to complete a car-following test, either under high or low traffic flow conditions. Performance indicators include driving capability (i.e. lateral control, longitudinal control, and brake reaction time) and compensatory behavior (i.e. average speed, and time headway). Additionally, two modified traffic conflict measures: time exposed time-to-collision (TET) and time integrated time-to-collision (TIT) are applied to indicate the traffic conflict risk. The random parameter Tobit models were estimated to measure the association between conflict risk and driver attributes, and random intercept models were used to assess other driving performance indicators. Results show that despite the impaired lateral control performance and longer brake reaction time of older drivers, the likelihood of severe traffic conflict of older drivers is lower than that of mid-aged drivers. Furthermore, though both older professional and older non-professional drivers adopted longer time headway, the reduction in the risk of severe traffic conflict is more profound among the older professional drivers. Such findings suggest that older professional drivers are more capable of mitigating the possible collision risk by adopting the compensatory strategy, as compared to older non-professional drivers. This justifies the existence of compound effect by the compensatory strategy of older driver and better driving skills of professional driver. This research provides useful insights into driver training and management strategies for employers, as older drivers would become a major cohort in the transportation industry.     

Influence of following vehicle’s tailway and classification on subject driver’s response to the circular yellow indication

Traffic crashes at signalized intersections are frequently linked to driver behavior at the onset of the circular yellow (CY) indication. To better understand behavioral factors that influence a driver’s decision to stop or go at an intersection, this study analyzed the behavior of the driver of a subject vehicle at the onset of the CY indication. Driver performance data from 53 participants were collected in the Oregon State University Driving Simulator, simulating scenarios of driving through high-speed intersections under various conditions. Data included interactions where the driver stopped at the stop line (n = 644) or proceeded through the intersection (n = 628) in response to a CY indication. Data were analyzed as panel data while considering 12 indicator variables related to the driver’s stop/go decision. These indicator variables included time to stop line (TTSL), tailway time, following vehicle type, vehicle speed at the onset of the CY indication, and demographics (age, gender, driving experience, level of education, personal vehicle type, number of times driving per week, number of miles driving last year, participation in previous simulation studies. A random-parameter binary logit model was used to determine contributing factors for driver decision making at the onset of CY indication while accounting for unobserved heterogeneity. Four indicator variables were significantly related to the driver’s stop/go decision, but three factors varied across observations. Findings showed that a driver’s stop/go decision in response to a CY indication was associated with the time to the stop line (TTSL), tailway time to the following vehicle, subject vehicle speed at the onset of the CY indication, and driver’s age (20–36 years), but was not significantly associated with classification of the following vehicle. Also, the findings indicated that a shorter tailway increased a subject driver’s red-light running frequency. These findings provide insights into variables that affect driver decisions in a vehicle-following situation at the onset of the CY indication. This information can help make better decisions in smart traffic control systems such as to extend/decrease the green interval slightly to avoid decisions that are more difficult.