Counselor Education Doctoral Program Faculty Members’ Refereed Article Publications

This study investigated articles published in refereed journals by counselor educators (N = 378) employed by 55 doctoral programs accredited by the Council for Accreditation of Counseling and Related Educational Programs. The counselor educators published in 321 different journals, and the variables that predicted publications rates included (a) year earned doctoral degree, (b) academic rank, (c) Carnegie category classification of current university, and (d) gender. Implications for counselor education and scholarly productivity are discussed.     

On regression and supervision

The centrality of the supervisory relationship to the professional development of supervisees may encourage dependency needs and regressive wishes. This process may undermine the delicate balance in supervision between an optimal didactic tension and an atmosphere of calmness and security. The present paper advises supervisors to take into account the gap in power and interests between their supervisees and themselves, and the temptation that may arise within them to use their supervisees' regression in order to avoid resistance. Such awareness will help them make controlled and appropriate use of such analytic powers and maintain the balance between supervisees' “regressive selves” and “mature selves.” In addition, a perception of supervisory relations as a space of mutual alternating regressive states is offered as an important aspect of supervisor–supervisee communication.     

Nonlinear analyses in sales research: theoretical bases and analytical considerations for polynomial models

Despite theoretical bases that may support nonlinear relationships, there is a relative paucity of studies testing these effects in organisational and behavioural research. Theories hypothesising linear associations among variables in sales research found to have low predictive validity are prime candidates for re-conceptualisation with theories predicting nonlinear relationships. In the sales domain, while nonlinear-oriented theories have been advanced and many nonlinear associations have been explored, myriad additional variables may possess theoretically-based nonlinear relationships with key sales-related outcomes. Further, nonlinear integration can be useful in improving linear analyses involving moderation. The purpose of this article is to expound upon and promote the utilisation of theoretically-driven nonlinear analyses in sales research. In this pursuit, the article delineates the rationale for nonlinear examinations and provides an extensive review of nonlinear research conducted in the extant sales literature. Based on this review, theoretical bases used to support nonlinear hypotheses are advanced and types of polynomial tests are identified. Additionally, guidelines in conducting and interpreting main effect and moderated polynomial analyses are provided along with future research opportunities for nonlinear analyses in sales research.     

潜在剖面分析在区分抑郁情绪患者的应用

目的：使用情绪启动的研究范式,探讨情绪启动对抑郁情绪患者的分类效果.方法：抽取35名抑郁情绪患者和35名正常被试,分别完成6种条件的实验任务,采用潜在剖面分析和logistic回归分析,分析6种条件对两组被试的分类结果.结果：两组被试在6种条件下对人脸表情判断的正确数和反应时存在显著差异,抑郁患者的反应时间明显延长,识别的正确数比正常被试少,潜在剖面分析的结果与真实结果具有较高的一致性.结论：潜在剖面分析能较好地区分正常组与抑郁组患者,为鉴别正常人与抑郁情绪患者提供新的途径.     

Coping Strategies and Psychological Outcomes: The Moderating Effects of Personal Resiliency

Certain coping strategies alleviate stress and promote positive psychological outcomes, whereas others exacerbate stress and promote negative psychological outcomes. However, the efficacy of any given coping strategy may also depend on personal resiliency. This study examined whether personal resiliency moderated the effects of task-oriented, avoidance-oriented, and emotion-oriented coping strategies on measures of depression, anxiety, stress, positive affect, negative affect, and satisfaction with life. Results (N = 424 undergraduates) showed higher personal resiliency was associated with greater use of task-oriented coping strategies, which were in turn associated with more adaptive outcomes, and less reliance on nonconstructive emotion-oriented strategies, which in turn were associated with poorer psychological outcomes. In addition, individual differences in personal resiliency moderated the effects of task-oriented coping on negative affect and of emotion-oriented coping on negative affect and depression. Specifically, proactive task-oriented coping was associated with greater negative affect for people lower in personal resiliency. Moreover, high personal resiliency attenuated the negative effects of emotion-oriented coping on depression and negative affect. The effects of avoidance-oriented coping were mixed and were not associated with or dependent on levels of personal resiliency.     

Using Raw VAR Regression Coefficients to Build Networks can be Misleading

Many questions in the behavioral sciences focus on the causal interplay of a number of variables across time. To reveal the dynamic relations between the variables, their (auto- or cross-) regressive effects across time may be inspected by fitting a lag-one vector autoregressive, or VAR(1), model and visualizing the resulting regression coefficients as the edges of a weighted directed network. Usually, the raw VAR(1) regression coefficients are drawn, but we argue that this may yield misleading network figures and characteristics because of two problems. First, the raw regression coefficients are sensitive to scale and variance differences among the variables and therefore may lack comparability, which is needed if one wants to calculate, for example, centrality measures. Second, they only represent the unique direct effects of the variables, which may give a distorted picture when variables correlate strongly. To deal with these problems, we propose to use other VAR(1)-based measures as edges. Specifically, to solve the comparability issue, the standardized VAR(1) regression coefficients can be displayed. Furthermore, relative importance metrics can be computed to include direct as well as shared and indirect effects into the network.     

A shortened version of Raven’s standard progressive matrices for children and adolescents

Numerous developmental studies assess general cognitive ability, not as the primary variable of interest, but rather as a background variable. Raven’s Progressive Matrices is an easy to administer non-verbal test that is widely used to measure general cognitive ability. However, the relatively long administration time (up to 45 min) is still a drawback for developmental studies as it often leaves little time to assess the primary variable of interest. Therefore, we used a machine learning approach – regularized regression in combination with cross-validation – to develop a short 15-item version. We did so for two age groups, namely 9 to 12 years and 13 to 16 years. The short versions predicted the scores on the standard full 60-item versions to a very high degree r = 0.89 (9–12 years) and r = 0.93 (13–16 years). We, therefore, recommend using the short version to measure general cognitive ability as a background variable in developmental studies.     

Estimating effectiveness of speed reduction measures for pedestrian crossing treatments using an empirically supported speed choice modeling framework

Pedestrian crossing treatments, such as Pedestrian Hybrid Beacons (PHBs) and Rectangular Rapid-Flashing Beacons (RRFBs), are traffic control devices implemented to help pedestrians safely cross busy or higher-speed roadways at midblock crossings and uncontrolled intersections. This study aims to assess the effectiveness of the PHB and RRFB by analyzing drivers’ speeding behavior under different roadway types with real-life traffic conditions. In order to understand the effect of pedestrian crossing treatments (i.e., PHB and RRFB) have on drivers’ speeding behavior, this paper analyzes four zones (i.e., one upstream zone and three consecutive downstream zones). For the four analysis zones, different indexes were computed which corresponds to the differences in drivers’ speed when encountered with the pedestrian crossing treatments. A grouped random effect hurdle beta regression model is estimated for the indexes, with a fixed effect hurdle beta model used for comparison and validating the importance of considering the grouped random heterogeneity across participants. The proposed analysis framework was validated by the means of an empirical driving simulator study, based on two urban roads in the Central Florida region, North Alafaya Trail (SR-434) and South Orange Blossom Trail (US-441). The results revealed that the proposed modeling framework reflects drivers’ difference in speed for the different pedestrian crossing treatments. The results suggest that with proper understanding of the PHB, the PHB can reduce drivers speed even beyond the location of the PHB. Meanwhile, the RRFB does have some effect in speed reduction beyond the location of the RRFB, however many drivers failed to acknowledge the RRFB. It is suggested that when drivers’ have proper education on the use of the PHB to reduce speed safely and for the installation of RRFB be on roads with two or less lanes and a speed limit less than 40 mph. While the main purpose of the pedestrian crossing treatments is to help pedestrians cross safely, speed reduction can be considered a byproduct as revealed in this study.     

Congruence of efficacy beliefs on the coach-athlete relationship and athlete anxiety: Athlete self-efficacy and coach estimation of athlete self-efficacy

This study’s purpose was to assess the extent to which congruence of athlete self-efficacy and Coach Estimation of Athlete Self-Efficacy (CEASE) is associated with coach-athlete relationship quality and athlete anxiety. Data were obtained from 71 British coach-athlete dyads from individual sports regarding athlete self-efficacy, CEASE, coach-athlete relationship quality, and athlete anxiety. Polynomial regression analyses were conducted to assess congruence, with significant interactions depicted in surface response graphs. Athlete self-efficacy was significant in predicting athlete perceptions of relationship quality and CEASE was significant in predicting coach perceptions of relationship quality, but neither directly predicted the other person’s relationship perceptions. Congruence (of athlete self-efficacy and CEASE) was significant in predicting athlete, but not coach, perceptions of relationship quality. Athlete anxiety was not significantly predicted. Overall, results from the study suggest that the coach-athlete relationship is enhanced when coaches and athletes have congruent perceptions of efficacy, with more cooperative and effective interactions resulting from congruence at high and low efficacy.