Creative Problem Solving in Small Groups: The Effects of Creativity Training on Idea Generation,Solution Creativity,and Leadership Effectiveness

This investigation evaluated the degree to which creativity training, idea generation instruction, and creative process impacted idea production, creativeness of solutions, and leadership effectiveness. Three sets of hypotheses were tested with a 114 groups of adults. First, groups whose members had some (i.e., one CPS course) or advanced training (i.e., graduate-level study in creativity or creativity professionals) were significantly more effective at idea generation than groups without training. Furthermore, leaders with some and advanced training were perceived to be significantly more effective than those with no creativity training. With respect to creativeness of solutions, the advanced training groups outperformed all others. The second set of hypotheses focused on the effectiveness of idea generation instruction (i.e., instructions without brainstorming, brainstorming, and brainstorming with criticism). Analysis revealed no significant difference for idea generation instruction relative to idea production or creativeness of solutions. The final set of hypotheses examined the use of a simple process structure for groups without prior creativity training (i.e., distinct phases for idea generation and solution development). Analysis revealed that those meetings that followed a simple process structure out performed groups that did not follow a process for both idea generation and creativeness of solutions. Further results are presented and implications discussed.     

Self-Efficacy for Enhancing Students’ Career and College Readiness: A Survey of Professional School Counselors

Grounded in Bandura’s (1997) self-efficacy theory and Savickas’s (2011) career construction theory, this study examined school counselors’ beliefs about whether they can perform specific tasks related to supporting students’ career and college readiness. A national sample of school counselors (N = 2,047) completed the School Counselor Self-Efficacy for Enhancing Student Career and College Readiness Scale (Baker, Parikh-Foxx, & Martinez, 2017). Findings from a survey research design indicated that the extent of related training and the challenges associated with implementation of career service delivery were of concern to participants. Recommendations for training, practice, and further research are presented.     

A National Survey of Trauma Training in Psychology Internships

Directors from psychology internship programs across the United States were asked to participate in a survey regarding their sites’ provision of services to traumatized populations and didactic and supervisory training offered to interns. All totaled, 259 training directors completed the survey. Using a point system, an impact score of training saturation was determined based on the content and frequency of training offered in didactic, supervision, or combined formats. Of these, all reported at least one trauma training opportunity in either didactic or supervision format. More than half indicated that they offered at least 1 to 3 hours of didactics on trauma per week (62.2%) and slightly less offered supervision-specific training opportunities (54.5%). However, only 30.8% identified training opportunities in trauma/posttraumatic stress disorder that reached a high level of saturation in training, meaning they offered training activities above the median impact score. The most commonly reported barrier to offering trauma training was related to being busy meeting other specialty or program requirements. Findings provide a preliminary overview of current training practices that can be useful to students seeking trauma internship placements and administrators and faculty who are looking to revise their curriculum.     

Well-being through learning: a systematic review of learning interventions in the workplace and their impact on well-being

The view that learning is central to well-being is widely held and the workplace is an important setting in which learning takes place. Evaluations of the effectiveness of well-being interventions in work settings are commonplace, but to date, there has been no systematic review of the effectiveness of learning interventions with regard to their impact on well-being. The review synthesizes evidence from 41 intervention studies, and although no studies report a negative impact on well-being, 14 show no effect on well-being, with 27 studies having a positive impact. We classify the studies according to the primary purpose of the learning intervention: to develop personal resources for well-being through learning; to develop professional capabilities through learning; to develop leadership skills through learning; and to improve organizational effectiveness through organizational-level learning. Although there is an abundance of workplace learning interventions, few are evaluated from a well-being perspective despite the commonly held assumption that learning yields positive emotional and psychological outcomes. The evidence indicates an important gap in our evaluation of and design of workplace learning interventions and their impact on well-being, beyond those focusing on personal resources. This raises important theoretical and practical challenges concerning the relationship between learning and well-being in the context of professional capability enhancement, leadership capability and organizational learning.     

Brief Behavioral Activation Treatment for Depressed Adolescents Delivered by Nonspecialist Clinicians: A Case Illustration

Behavioral activation (BA) can be as effective as cognitive-behavioral therapy for the treatment of depression in adults, but to date there is little research with adolescents. This is problematic given the recognized need to increase access to evidence-based interventions for depression in young people. We have developed a new adaptation of brief Behavioral Activation (Lejuez, Hopko, Acierno, Daughters, & Pagoto, 2011) specifically for young people: Brief BA for depressed adolescents. In this paper, we use a case example with session-by-session measurement to show how a nonspecialist clinician can deliver this intervention successfully. We discuss the key themes arising from this training case, challenges the clinician faced, and how these were managed through training and supervision.     

The effect of driver improvement interventions on crash involvement; has it been under-estimated?

The available evidence suggests that driver improvement interventions (with the aim to increase driver safety, most often by education or training) do not work. The average effect calculated in several meta-analyses is close to, and not always possible to distinguish from, zero, despite total samples sizes of several hundred thousand drivers. However, it is possible that all studies included in these meta-analyses have under-estimated the effect, due to a methodological error; all crashes have been used as dependent variable, instead of only those that the targeted drivers have caused. This error is expected to have considerably deflated the effect sizes, but it is not known how large this effect could be.Using crash data for bus drivers in which culpability had been reliably established, a simple simulation was performed to determine the difference between using culpable and all crashes as an estimator of a safety effect. Using data for six years, calculations were made on single years. About ten percent of culpable crashes in each year were deleted to simulate a safety effect, where after the difference between the original and the simulated variable were calculated, using culpable only and all crashes in parallel. The effects using these two different kinds of datasets could then be compared and the under-estimation effect estimated.Culpable crashes, as compared to all crashes, yielded larger differences in means between time periods, and smaller standard deviations. In between-subjects comparisons resulted in 15–30 percent larger effects for culpable crashes. Within-subjects calculations yielded larger but not as systematic effects.The effect of driver improvement on crash involvement has been systematically under-estimated, as extremely few evaluation studies seem to have taken culpability for crashes into account. Therefore, new evaluations need to be undertaken, and/or old data re-analysed, to calculate a better estimate of the true effect of training and education in driving safety.     

Investigation of drivers’ thresholds of a subjectively accepted driving performance with a focus on automated driving

Lately, the development and implementation of automated driving moved to the center of interest in the automotive industry. In this context, one of the central issues – the configuration of adequate trajectories – is mainly tackled using a technical approach. However, it appears that a technically ideal driving performance does not necessarily coincide with the drivers’ subjective preferences. This study strives to determine thresholds of a subjectively accepted driving performance regarding lateral vehicle control. A second objective is to analyze the influence of selected personal and situational factors on these thresholds. An empirical online survey with 161 participants rating video sequences of driving performances was conducted. The video sequences differed not only with regard to the lateral offset of the ego-vehicle but also concerning the weather (sun/rain) and traffic conditions (existence/driving behavior of oncoming traffic). Additionally, the participants’ driving experience and sensation seeking were considered in the data evaluation. To analyze the data, binary logistic regression analyses were calculated. They revealed that the subjective evaluation of driving performances varies primarily depending on the lateral offset of both the ego-vehicle and the oncoming traffic. The results indicate that regarding the lateral offset certain thresholds of subjectively accepted driving performances do exist. Regarding the development of automated driving systems, two issues need to be considered in order to ultimately guarantee user acceptance. First, the subjective thresholds need to be integrated into the systems’ trajectory planning. Second, the oncoming traffic’s driving behavior has to be considered.     

Traction-energy balancing adaptive control with slip optimization for wheeled robots on rough terrain

On rough terrain, excessive wheel slippage is easily generated by changes of surface conditions such as soil types and geometries. It induces considerable loss of wheel traction and battery energy. To prevent this, wheeled robots should consistently recognize the current situation generated between wheel and surface. And also wheeled robots are required to optimally control wheel motion in limited wheel traction and battery capacity. Therefore, this paper proposes a novel wheel control algorithm based on slip optimization of traction and energy, which is adaptive to change of surface condition. Proposed wheel control algorithm is called Traction-Energy Balancing Adaptive Control (TEB) in this paper and TEB assigns optimized rotation speed to each wheel by observing wheel slip ratio which is a key parameter of TEB. As functions of TEB, TEB is largely divided into three main parts; (1) slip optimizer (2) slip controller (3) SC-compensator. In the slip optimizer, two optimal slip models were derived as a function of slip ratios regarding maximum traction and tractive efficiency using experimental data about wheel-terrain interaction in three types of soil (grass, gravel and sand). And the optimal slip models were employed in order to determine a desired slip value of wheel with observation of a change in actual robot velocity as control input in the slip controller. For optimal slip control, the proposed slip controller is based on conventional PID controller with compensating disturbance in the controller (SC-compensator) which occurs by change of surface shapes. In the SC-compensator, radial function networks (RBFN) was applied in the slip controller and RBFN was of help to readjust previously set PID gains depending on occurred slip error. Finally, TEB was experimentally verified by controlling a real robot having four wheels on various terrain types.     

The supervisory alliance: Comparison of measures and implications for a supervision toolkit

Background Clinical supervision lies at the core of the professional development of clinicians providing services within a range of service settings. The supervisory alliance is regarded as the most important construct in effective supervision which underlies the importance of metrics to assess this construct. Aims materials and Method A cross‐sectional self‐report questionnaire design was used to examine clinical supervision constructs. The study used two scales measuring the supervisory alliance (SRQ and SWAI‐T), a scale measuring supervision satisfaction (SSQ) and a scale measuring disclosure (TDS). The questionnaires were administered to 127 clinical psychology trainees who were undertaking a practicum placement. Results Both scales measuring the alliance were positively correlated with satisfaction with supervision and disclosure, with similar sizes of correlation for each alliance scale. There was also a large, positive correlation between the two scales of measuring the alliance. Discussion Both scales were designed for use in supervision and are related to supervision outcome measures in the expected directions. Conclusion The SRQ has some distinct advantages over the SWAI‐T that lend the SRQ to be potentially more useful in clinical and research settings.