Linking Proactive Personality to Creative Performance: The Role of Job Crafting and High-Involvement Work Systems

This study proposed that job crafting serves as a mechanism reflecting how proactive personality affects creative performance, and this study explored whether these relationships are moderated by high-involvement work systems. Drawn from the conservation of resources theory to develop a cross-level moderated mediation model, a three-wave longitudinal study was conducted with 346 employees and their supervisors in 27 high technology firms in China. This study found that proactive personality was positively related to creative performance and that job crafting mediated the relationship between proactive personality and creative performance, and an indirect effect of proactive personality on creative performance through job crafting was significant when high-involvement work systems was low but not high. Thus, the research results indicate that when human resource management involves less participatory management, incentive rewards, extensive training and information sharing, proactive employees can draw from their personality to craft their job tasks, relations and cognitions, thereby improving creative performance. The theoretical and managerial implications, limitations, and future research directions are discussed.     

Parenting and management skills: The mediator role of empathy

The present study aimed to test the effect of sex as well as the experience of parenting at the level of empathy and management skills and the mediating effect of empathy on the relationship between the experience of parenting and management skills. No differences were found between men and women concerning management skills. Women had higher empathy levels than men. Being a father or mother increased management skills and empathy levels. However, the experience of parenting interferes with management skills by increasing levels of empathy only in men. Career counselors need to considerer not only the processes inherent to each management task, but also the variables that intensify these competences, integrating emotional and relational dimensions.     

Mediation of Childhood Adversity and Health by Relationship Quality in Diverse Couples

Individuals with economic disadvantage experience greater (a) adverse childhood experiences (ACE), (b) risk for low relationship quality and relationship dissolution, and (c) disparity in physical and mental health. Thus, a critical need exists to understand the connections between areas of disparity in family and relational health on physical and mental health for those most vulnerable to the deleterious effects. The researchers therefore tested a dyadic model for the mediation of ACE and health by relationship quality with data from 503 couples with economic disadvantage and a racial or ethnic minority background (76.9%). The data fit the proposed model and explained a majority of the variance in health, 82.3% of the variance in menʼs health and 56.5% in womenʼs health—both large effects. Moreover, the significant indirect pathway between ACE and health through relationship quality contributed 98.05% and 57.40% of the total effects for men and women, respectively. Overall, a significant relationship existed between ACE, relationship quality, and health for men and women at the actor-level and the dyadic influence between members of a couple contributed to the overall model fit. Results add to support for the role of relationship quality as a dyadic social determinant of health disparities with implications for prevention and intervention.     

初中生校园排斥对抑郁的影响：反刍思维与特质正念的作用

研究对955名初中生进行问卷调查,探讨校园排斥对抑郁的影响,以及反刍思维和特质正念的作用。结果表明：（1）校园排斥正向预测初中生抑郁,反刍思维在校园排斥与抑郁间具有中介作用;（2）校园排斥对抑郁的直接效应受到特质正念的调节,直接效应对低特质正念初中生更为显著;（3）特质正念调节反刍思维对校园排斥与初中生抑郁中介过程的后半段路径,在低特质正念下,反刍思维对抑郁的影响更为显著。研究以校园排斥、反刍思维和特质正念为切入点构建了初中生抑郁的影响机制模型,为预防和干预青少年抑郁提供了新的研究视角。     

Current Directions in Mediation Analysis

ABSTRACT— Mediating variables continue to play an important role in psychological theory and research. A mediating variable transmits the effect of an antecedent variable on to a dependent variable, thereby providing more detailed understanding of relations among variables. Methods to assess mediation have been an active area of research for the last two decades. This paper describes the current state of methods to investigate mediating variables.     

多水平随机中介效应估计及其比较

本文在综述各类多水平中介模型的基础上, 聚焦于自变量、中介变量、因变量都来自多水平结构中较低水平的多水平随机中介效应模型, 通过蒙特卡洛模拟研究比较该模型与简化的多水平固定中介效应模型、传统中介效应模型的差别, 并考察了目前用于多水平随机中介效应的三种参数估计方法：限制性极大似然、极大似然、最小方差二次无偏估计在不同情况下对随机中介效应估计的优劣。研究结果显示：当数据符合多水平随机中介效应模型时, 使用简化模型将错误估计中介效应及其标准误, 得到不正确的统计检验结果; 使用多水平随机中介效应模型能够实现对中介效应的正确估计和检验, 其中限制性极大似然或极大似然估计方法优于最小方差二次无偏估计方法。     

The Effect of a Brief Mindfulness Training on Distress Tolerance and Stress Reactivity

Poor distress tolerance (DT) is considered an underlying facet of anxiety, depression, and a number of other psychological disorders. Mindfulness may help to increase DT by fostering an attitude of acceptance or nonjudgment toward distressing experiences. Accordingly, the present study examined the effects of a brief mindfulness training on tolerance of different types of distress, and tested whether trait mindfulness moderates the effect of such training. Undergraduates (n = 107) naïve to mindfulness completed a measure of trait mindfulness and underwent a series of stress tasks (cold pressor, hyperventilation challenge, neutralization task) before and after completing a 15-minute mindfulness training or a no-instruction control in which participants listened to relaxing music. Participants in the mindfulness condition demonstrated greater task persistence on the hyperventilation task compared to the control group, as well as a decreased urge to neutralize the effects of writing an upsetting sentence. No effect on distress ratings during the tasks were found. Overall trait mindfulness did not significantly moderate task persistence, but those with lower scores on the act with awareness facet of mindfulness demonstrated greater relative benefit of mindfulness training on the hyperventilation challenge. Mediation analyses revealed significant indirect effects of mindfulness training on cold pressor task persistence and urges to neutralize through the use of the nonjudge and nonreact facets of mindfulness. These results suggest that a brief mindfulness training can increase DT without affecting the subjective experience of distress.     

Asymptotic bias of normal-distribution-based maximum likelihood estimates of moderation effects with data missing at random

Moderation analysis is useful for addressing interesting research questions in social sciences and behavioural research. In practice, moderated multiple regression (MMR) models have been most widely used. However, missing data pose a challenge, mainly because the interaction term is a product of two or more variables and thus is a non-linear function of the involved variables. Normal-distribution-based maximum likelihood (NML) has been proposed and applied for estimating MMR models with incomplete data. When data are missing completely at random, moderation effect estimates are consistent. However, simulation results have found that when data in the predictor are missing at random (MAR), NML can yield inaccurate estimates of moderation effects when the moderation effects are non-null. Simulation studies are subject to the limitation of confounding systematic bias with sampling errors. Thus, the purpose of this paper is to analytically derive asymptotic bias of NML estimates of moderation effects with MAR data. Results show that when the moderation effect is zero, there is no asymptotic bias in moderation effect estimates with either normal or non-normal data. When the moderation effect is non-zero, however, asymptotic bias may exist and is determined by factors such as the moderation effect size, missing-data proportion, and type of missingness dependence. Our analytical results suggest that researchers should apply NML to MMR models with caution when missing data exist. Suggestions are given regarding moderation analysis with missing data.     

Positive Group Affective Tone and Team Creative Performance and Change‐Oriented Organizational Citizenship Behavior: A Moderated Mediation Model

Despite the vast amount of research on creativity and organizational citizenship behavior (OCB), little knowledge has been accumulated with respect to underlying mechanisms and boundary conditions affecting team creative performance and change OCB. To fill this research gap, this study aims at proposing and testing a moderated mediation model that delineates the relationships among positive group affective tone (PGAT), team reflexivity, team leader transformational leadership, team creative performance, and team change OCB. As hypothesized, PGAT was positively associated with team reflexivity, which in turn significantly predicted team creative performance and change OCB. In addition, the relationship between PGAT and team reflexivity and the indirect effects of PGAT on team creative performance and change OCB through team reflexivity were more pronounced when team leader transformational leadership was high than when it was low. These findings were validated in a post hoc analysis that compared the proposed moderated mediation model with alternative models.     

Nonlinear Indicator-Level Moderation in Latent Variable Models

Linear, nonlinear, and nonparametric moderated latent variable models have been developed to investigate possible interaction effects between a latent variable and an external continuous moderator on the observed indicators in the latent variable model. Most moderation models have focused on moderators that vary across persons but not across the indicators (e.g., moderators like age and socioeconomic status). However, in many applications, the values of the moderator may vary both across persons and across indicators (e.g., moderators like response times and confidence ratings). Indicator-level moderation models are available for categorical moderators and linear interaction effects. However, these approaches require respectively categorization of the continuous moderator and the assumption of linearity of the interaction effect. In this article, parametric nonlinear and nonparametric indicator-level moderation methods are developed. In a simulation study, we demonstrate the viability of these methods. In addition, the methods are applied to a real data set pertaining to arithmetic ability.