Teacher's Encouragement on Creativity,Intrinsic Motivation,and Creativity: The Mediating Role of Creative Process Engagement

Drawing on Dewey's pragmatic perspective on talent cultivation and previous research on promoting employee creativity in industry, this study investigates student creativity performance in relation to teacher's encouragement, intrinsic motivation, and creative process engagement. Based on survey data collected from 140 vocational high school students who participated in a nation‐wide contest in Taiwan, path analyses were performed using structure equation modeling techniques. The results indicate that both teacher's encouragement and intrinsic motivation have a significant, although indirect, effect on student creativity, and that creative process engagement, as opposed to teacher encouragement or intrinsic motivation, has a direct and significant mediating effect on student creativity. This finding is in partial agreement with prior research which reports student creativity is positively associated with teacher encouragement and intrinsic motivation, highlighting the mediating role of creative process engagement in facilitating student creative performance.     

How Power States Influence the Persuasiveness of Top‐Dog versus Underdog Appeals

Although both top‐dog and underdog positioning appeals are widely used in marketing and advertising, little is known about which strategy is more effective in persuading consumers. By introducing a sense of power, a social variable that is inherently relevant to the nature of the top‐dog versus underdog classification, we propose that consumers' responses to these two appeals are influenced by their psychological experience of power. Specifically, low‐power consumers will respond to top‐dog appeals more favorably because associating with top dogs facilitates power restoration. In contrast, high‐power consumers will respond to underdog appeals more favorably because supporting underdogs facilitates power expression. In four experimental studies, we provide consistent support for our main predictions as well as the underlying processes. Studies 1 and 2 demonstrate the differential effect of consumers' power states on their attitudes toward top‐dog versus underdog appeals. Providing process evidence, Studies 3 and 4 identify boundary conditions under which the basic effect was eliminated. These findings contribute to the persuasion literature and power research and provide important implications for positioning strategy and advertisement development.     

Building up resources in the relationship between work–family conflict and burnout among firefighters: moderators of guanxi and emotion regulation strategies

This study investigated the moderating effects of supervisor–subordinate “guanxi” alongside relevant emotional regulation strategies, including cognitive reappraisal and expressive suppression, undertaken by 402 firefighters experiencing burnout caused by work–family conflict, as revealed through the application and analysis of the job demands–resources model. According to the regression model for the moderating effects, high levels of supervisor–subordinate guanxi may improve the relationship between work–family conflict and burnout, while frequent suppression of expressivity may enhance this relationship. Moreover, when supervisor–subordinate guanxi is high, cognitive reappraisal may effectively mitigate the relationship between work–family conflict and burnout. To this end, both guanxi and cognitive reappraisal are crucial for supporting emotional regulation in the workplaces of ethnic Chinese societies.     

Migration patterns,family functioning,and life satisfaction among migrant children in China: A mediation model

There are three distinct patterns of migration among Chinese migrant children: whole‐family, single‐parent‐first, and both‐parents‐first migration. This study investigated the life satisfaction of children who migrated under the different migration patterns and examined the mediating role of family functioning in the relationship between the children's migration patterns and their life satisfaction. Participants consisted of migrant children (N = 703) from primary and junior middle schools in Chengdu, China. The results showed that (a) migrant children from the whole‐family and single‐parent‐first patterns of migration reported greater life satisfaction than did those from the both‐parents‐first pattern, and (b) family functioning partially mediated the association between migration patterns and life satisfaction. The present study highlights the importance of avoiding separation of children from both parents during migration and the need to develop interventions for migrant children's psychological adaptation by improving their families’ functioning.     

时间洞察力对成瘾行为的影响及其机制

成瘾行为给个体和社会带来了严重的危害。对成瘾人群时间洞察力的研究成为探讨成瘾行为产生和发展的一个新的视角。过去消极、现在享乐和现在宿命时间洞察力取向的个体更可能出现成瘾行为, 而未来时间洞察力取向则是成瘾行为的一个保护性因素, 它不仅可以减少成瘾行为的发生, 也有利于成瘾行为的康复。从自我调节, 冲动性决策等行为机制和前额叶的神经机制方面可以帮助我们深入理解时间洞察力对成瘾行为的影响。未来研究可以进一步探讨不同成瘾行为者时间洞察力的一致性与特异性; 采用纵向研究方法探讨成瘾者时间洞察力的动态变化过程; 对成瘾者的洞察力进行干预, 增加成瘾者的未来时间洞察力, 减少其过去消极和现在时间洞察力取向来帮助成瘾者实现时间洞察力的平衡, 从而提高其戒断效果。     

运动员情绪调节心率变异性的影响因素

以183名运动员为被试,以心率变异性为指标,考察不同情绪状态、不同情绪调节策略下运动员自主神经反应的性别、运动年限、运动等级特点。结果发现：（1）快乐情绪状态下的心率变异性显著高于悲伤情绪状态下;表达抑制的心率变异性显著高于认知重评;短运动年限运动员的心率变异性显著高于长运动年限运动员;男性运动员的心率变异性显著高于女性运动员。（2）在快乐情绪状态下采用表达抑制策略时,低运动等级运动员的心率变异性显著高于高运动等级运动员;在悲伤情绪状态下,高运动等级运动员采用表达抑制策略比认知重评策略产生更高的心率变异性     

Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence,influence and estimation

Nonnormality of univariate data has been extensively examined previously (Blanca et al., Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 9(2), 78–84, 2013; Miceeri, Psychological Bulletin, 105(1), 156, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of nonnormality, this study examined 1,567 univariate distriubtions and 254 multivariate distributions collected from authors of articles published in Psychological Science and the American Education Research Journal. We found that 74 % of univariate distributions and 68 % multivariate distributions deviated from normal distributions. In a simulation study using typical values of skewness and kurtosis that we collected, we found that the resulting type I error rates were 17 % in a t-test and 30 % in a factor analysis under some conditions. Hence, we argue that it is time to routinely report skewness and kurtosis along with other summary statistics such as means and variances. To facilitate future report of skewness and kurtosis, we provide a tutorial on how to compute univariate and multivariate skewness and kurtosis by SAS, SPSS, R and a newly developed Web application.     

Assessment of Differential Rater Functioning in Latent Classes with New Mixture Facets Models

Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred to as differential rater functioning (DRF). In existing DRF studies, the group membership of ratees is known, such as gender or ethnicity. However, DRF may occur when the group membership is unknown (latent) and thus has to be estimated from data. To solve this problem, in this study, we developed a new mixture facets model to assess DRF when the group membership is latent and we provided two empirical examples to demonstrate its applications. A series of simulations were also conducted to evaluate the performance of the new model in the DRF assessment in the Bayesian framework. Results supported the use of the mixture facets model because all parameters were recovered fairly well, and the more data there were, the better the parameter recovery.