公共资源困境中领导对群体成员合作行为的影响

过去社会困境的领导研究大多都以被试作为领导, 发现贴上领导标签后, 被试倾向于拿取更多的公共资源, 从而有碍公共利益的实现。本研究指出, 如果领导的背叛行为能够使群体成员表现出自我节制行为的话, 那么设置领导则有可能促进公共利益的实现。研究通过三个实验, 考察领导与普通群体成员不同的行为方式以及领导的产生方式对群体成员行为的影响, 并检验公平理论和社会认同理论的解释力。研究结果表明, 领导表现出背叛行为时, 被试表现出更多的自我节制行为; 指派领导及外群体选举领导背叛时, 被试表现出更多的自我节制行为, 验证了社会认同理论的正确性。     

Buying Life Experiences for the “Right” Reasons: A Validation of the Motivations for Experiential Buying Scale

Although numerous studies have demonstrated the hedonic benefits of spending money on life experiences instead of material possessions, there has been no attempt to determine how different motivations for experiential consumption relate to psychological need satisfaction and well-being. Across five studies (N = 931), guided by self-determination theory, we developed a reliable and valid measure of motivation for experiential consumption—the Motivation for Experiential Buying Scale—to test these relations. Those who spend money on life experience for autonomous reasons (e.g., “because they are an integral part of my life”) report more autonomy, competence, relatedness, flourishing, and vitality; however, those who spend money on life experiences for controlled (e.g., “for the recognition I’ll get from others”) or amotivated reasons (e.g., “I don’t really know”) reported less autonomy, competence, and relatedness. These results demonstrated that the benefits of experiential consumption depend on why one buys life experiences.     

Mixture Factor Analysis for Approximating a Nonnormally Distributed Continuous Latent Factor With Continuous and Dichotomous Observed Variables

Mixture factor analysis is examined as a means of flexibly estimating nonnormally distributed continuous latent factors in the presence of both continuous and dichotomous observed variables. A simulation study compares mixture factor analysis with normal maximum likelihood (ML) latent factor modeling. Different results emerge for continuous versus dichotomous outcomes. For dichotomous outcomes, normal ML path estimates have bias that worsens as latent factor skew/kurtosis increases and does not diminish as sample size increases, whereas the mixture factor analysis model produces nearly unbiased estimators as sample sizes increase (500 and greater) and offers near nominal coverage probability. For continuous outcome variables, both methods produce factor loading estimates with minimal bias regardless of latent factor skew, but the mixture factor analysis is more efficient. The method is demonstrated using data motivated by a study on youth with cystic fibrosis examining predictors of treatment adherence. In summary, mixture factor analysis provides improvements over normal ML estimation in the presence of skewed/kurtotic latent factors, but due to variability in the estimator relating the latent factor to dichotomous outcomes and computational issues, the improvements were only fully realized, in this study, at larger sample sizes (500 and greater).     

Relative Leader–Member Exchange Within Team Contexts: How and when Social Comparison Impacts Individual Effectiveness

A multilevel model was developed to examine how and when a focal individual's leader–member exchange (LMX) relative to the LMXs of coworkers within the team (relative LMX, or RLMX) influences individual in‐role performance, organizational citizenship behavior (OCB), and job satisfaction. Results, based on a sample of 275 leader–member dyads within 35 teams of a beverage company, largely supported the hypotheses. Specifically, using multilevel polynomial regression analyses, the results showed that self‐efficacy partially mediated the relationship between RLMX and in‐role performance and job satisfaction, and fully mediated the relationship between RLMX and OCB. Furthermore, the results demonstrated that team identification attenuated RLMX's direct effect on self‐efficacy, and indirect effects on in‐role performance and OCB and team supportive behavior attenuated RLMX's direct effect on self‐efficacy and indirect effect on in‐role performance.     

A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables

This article compares a variety of imputation strategies for ordinal missing data on Likert scale variables (number of categories = 2, 3, 5, or 7) in recovering reliability coefficients, mean scale scores, and regression coefficients of predicting one scale score from another. The examined strategies include imputing using normal data models with naïve rounding/without rounding, using latent variable models, and using categorical data models such as discriminant analysis and binary logistic regression (for dichotomous data only), multinomial and proportional odds logistic regression (for polytomous data only). The result suggests that both the normal model approach without rounding and the latent variable model approach perform well for either dichotomous or polytomous data regardless of sample size, missing data proportion, and asymmetry of item distributions. The discriminant analysis approach also performs well for dichotomous data. Naïvely rounding normal imputations or using logistic regression models to impute ordinal data are not recommended as they can potentially lead to substantial bias in all or some of the parameters.     

Psychological contracts and innovative behavior: a moderated path analysis of work engagement and job resources

This study explored the relationships between psychological contract types and innovative behavior. We focused on the mediating effect of work engagement and the moderating effect of job resources (organizational and social resources). Participants were 267 dyads of research and development engineers and their supervisors from 30 high‐tech companies. Moderated path analysis was used to test the hypotheses. Findings showed that: (a) work engagement fully mediated the negative relationship between transactional contracts and innovative behavior; in addition, it also fully mediated the positive relationship between relational contracts and innovative behavior; and (b) job resources attenuated the former and strengthened the latter mediating effects. These findings contribute to understanding how, why, and when psychological contract types lead to innovative behavior via work engagement.     

创伤后成长的促进因素、模型及干预

创伤后成长(Post-traumatic Growth, PTG)是指人们在经历了严重的压力性生活事件或创伤性事件后, 由于对抗压力所引起心理的积极变化。本研究对国外创伤后成长进行归纳概括, 论述了促进创伤后成长的影响因素, 如人格特质、社会支持、益处寻求和意义建构。此外, 归纳了基于不同视角的PTG模型, 提出了促进PTG的干预策略, 针对PTG实证研究中某些相关变量的测量问题提出改进意见。未来应着重于开展具备多个评估点的纵向研究, 建构适用于不同人群的PTG理论模型。     

不同回忆任务下小学生即时学习判断的准确性

学习判断是指对当前已经学习的项目在以后测验中成绩的预见性判断。本研究以小学五年级学生为被试,选取正向词对和反向词对为实验材料,考察不同回忆任务下小学生学习判断的准确性及偏差。研究发现,小学五年级学生的即时学习判断的准确性受到词对类型和回忆任务的影响:(1)小学生线索回忆任务下的学习判断中,正向词对的准确性较好,反向词对出现了高估,表现出了学习判断的预见偏差;(2)自由回忆任务下的学习判断中,两种词对都出现了显著的高估。研究结果丰富和细化了流畅性假说对学习判断加工机制的解释,并提出即时学习判断准确性的偏差是由于编码流畅性和提取流畅性的差异造成的。     

文化智力对少数民族预科生主观幸福感的影响:主流文化认同和自尊的链式中介作用

本研究基于文化智力理论与社会认同理论探讨了主流文化认同、自尊在文化智力与主观幸福感关系中的链式中介作用。研究采用文化智力量表、主流文化认同量表、自尊量表和幸福感指数量表对648名少数民族预科生进行调查。结果显示:(1)自尊是文化智力与少数民族预科生主观幸福感之间的中介变量;(2)主流文化认同是文化智力与少数民族预科生自尊的中介变量,因此,主流文化认同和自尊在文化智力与少数民族预科生主观幸福感之间起链式中介作用,这表明主流文化认同和自尊是影响文化智力与少数民族预科生主观幸福感之间关系的重要内因,研究结论对提高少数民族预科生主观幸福感具有重要的价值。