Self-Esteem,Perceived Stress,and Gender During Adolescence: Interactive Links to Different Types of Interpersonal Relationships

The goal of this study was to analyze the relationships between self-esteem, perceived stress, the quality of different types of interpersonal relationships, and gender in adolescents. This study used a sample of 1614 adolescent high school students and robust data analytic techniques to test the proposed relationships. The results partially supported the initial hypothesis in that perceived stress mediated the relationships between self-esteem and four of the types of interpersonal relationships (i.e., same-sex peer relationships, opposite-sex peer relationships, parent–child relationships, and teacher–student relationships) and moderated the relationship between self-esteem and same-sex peer relationships. In addition, a moderated role of gender was also partially supported in that perceived stress mediated the relationships between self-esteem and same-sex peer relationships, opposite-sex peer relationships, and the parent–child relationship for girls, but not boys. On the basis of these findings, it was concluded that perceived stress plays an intervening role in the relationship between self-esteem and different types of interpersonal relationships and that gender seems to be a moderator for some of the patterns of the relationships between these variables. These findings are discussed in light of the possible mechanisms by which the variables could influence each other. Implications for theory and practice as well as some directions for future research were also suggested.     

互动公平对员工幸福感的影响:心理授权的中介作用与权力距离的调节作用

近些年,由于积极心理学的兴起,员工幸福感的研究得到了广泛的关注。本论文从互动公平这一特定的组织公平概念出发,以公平理论为主体,并结合自我决定理论,从心理授权的视角既分析了互动公平影响员工幸福感的内在机制,又探讨了权力距离对整个影响机制的调节作用。通过对国内一家制造业企业的199名员工多时点匹配问卷的调查,结果表明:互动公平与员工幸福感之间呈现正相关关系;心理授权中介了互动公平对员工幸福感的影响作用;权力距离不仅负向调节了互动公平与心理授权之间的关系,而且还负向调节了互动公平—心理授权—员工幸福感这一中介机制。本研究的发现有利于充分了解互动公平影响员工幸福感的内在机制和边界条件,同时能为管理实践提供更好的指导,有效地提高员工幸福感。     

Personality,Identity Styles,and Fundamentalism During Emerging Adulthood

This study examined the associations among personality, identity style, and fundamentalism. The initial sample included 808 students from 2 state universities (in the upper Midwest and Southeast United States). Of those students, 440 students self-identified as Protestant and were included. Testing mediation effects of identity styles on the relationship between personality and fundamentalism revealed only moderate direct effects between personality and fundamentalism, but 4 distinct patterns of indirect effects supporting the process-oriented model proposed by Duriez and colleagues. Results are discussed in terms of similarities and differences with other studies, with implications for future research outlined.     

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.     

纳入式分类分析法在潜在剖面模型的后续多元回归中的应用

纳入式分类分析法能克服传统的分类分析法对后续一元回归模型参数的低估,发挥潜在类别模型的后续分析简化变量间交互作用的功能。本文进一步将纳入式分类分析法拓展至潜在剖面模型后续的多元统计分析中。通过蒙特卡洛模拟实验,比较各种纳入变量的方法思路与后续分析模型在四种常见的多元回归模型中参数估计的表现。结果发现,纳入式分类分析法所需纳入的变量取决于后续分析中与因变量、潜类别变量的关系,且后续分析使用含交互作用的模型更为稳健。     

大学生生活事件与抑郁的关系：有调节的中介作用

基于当前抑郁的实证和理论研究现状,对大学生抑郁的形成过程进行探究。采用大学生生活事件量表、流调中心用抑郁量表、自尊量表、多维度多归因因果量表、大五人格神经质分量表,以882名大学生为被试展开调查。结果发现：（1）大学生生活事件、自尊、抑郁、神经质、归因方式等两两显著相关;（2）大学生抑郁的形成过程是多路径的,多层次的,既有生活事件对抑郁的直接作用,又有生活事件对抑郁的间接作用;既有归因方式的简单中间作用,又有归因方式和自尊的链式中介作用,并且神经质在自尊到抑郁的路径中起调节作用。结果表明,大学生生活事件对抑郁的影响是有调节的中介作用,对此进行有针对性的干预可以减少抑郁的发生。