Does empathy predict adolescents' bullying and defending behavior?

Through structural equation modeling, this study tested a path of relations in which different levels of empathic responsiveness were posited to be differently associated to bullying and defending behavior. Three hundred and eighteen Italian adolescents (142 girls and 176 boys; mean age = 13.2 years) completed the Davis's Interpersonal Reactivity Index [Davis, 1983] for empathy and the Participant role scales [Salmivalli et al., 1996] for bullying and defending behavior. The results revealed that the model fitted the data adequately, but only in the case of boys. As hypothesized, low levels of empathic responsiveness were associated to students' involvement in bullying others. In contrast, empathy was positively associated with actively helping victimized schoolmates. However, the estimates algorithm did not reach convergence with girls' data. The current findings confirm and extend the literature on the relation between empathy, prosociality and aggressive behavior. Educational implications are also discussed.     

Who Will Volunteer? Religiosity, Everyday Racism, and Social Participation Among African American Men

This study explores the relative importance of everyday racism, empathic concern, communalism, and religiosity as predictors of pro-social involvement (i.e., volunteerism and membership in political/social justice organizations) among a sample of African American men (N = 151). Church involvement emerged as a positive predictor of the likelihood that these men were involved in volunteer work as well as the number of hours that men dedicated to volunteer work. Communalism positively predicted the amount of time (in hours per year) that men were involved in volunteer work. Subjective religiosity and the stress of everyday racism were associated with a greater likelihood of being a member of a political–social justice organization. Implications of these findings are discussed.     

Figure-Ground Phenomena in the Perception of Physical and Social Stimuli

An instrument, the Grasha-Riechmann Student Learning Style Scales (GRSLSS), was developed to assess six student learning styles. These styles are Independent, Dependent, Avoidant, Participant, Collaborative, and Competitive. A “rational approach” was used to develop the GRSLSS and evaluate its construct validity. The process included professional and student inputs in special procedures for selecting scale items and designing criterion items. The utility of this approach is considered and problems critiqued. The rational approach yielded relatively high temporal reliability coefficients (range across scales r = .76 to r = .83; N = 269) and numerous meaningful correlations between criterion items and scale scores.     

Exploring Pathways From Television Viewing to Academic Achievement in School Age Children

The author's purpose in this study was to test 4 hypotheses that proposed different paths for the influences of children's television viewing on their academic achievement. Data were drawn from the 1997 Child Development Supplement (CDS) to the Panel Study of Income Dynamics (PSID). The population for this study included 1,203 children between the ages of 6 and 13 years from the CDS-PSID data set. The author used structural equation modeling to test pathways from children's television viewing to their academic achievement. The author assumed that children's television viewing hindered their academic achievement by reducing certain traits that related to academic achievement. Results showed that 3 hypothetical models fit the data—the time-displacement hypothesis, the mental effort-passivity hypothesis, and the attention-arousal hypothesis. A 4th hypothetical model, the learning-information hypothesis, which proposed that children's television viewing practices stimulate their academic achievement, was not supported. In sum, children who watched more television tended to spend less time doing homework, studying, and reading for leisure. In addition, their behaviors became more impulsive, which resulted in an eventual decrease in their academic achievement.     

Empathy and values as predictors of care development

Juujärvi, S., Myyry, L. & Pesso, K. (2012). Empathy and values as predictors of care development. Scandinavian Journal of Psychology 53, 413–420. This study investigates values and affective empathy as predictors for care‐based moral development. Fifty‐three students from a university of applied sciences were interviewed with Skoe’s Ethic of Care Interview at the beginning of their studies and two years later. Value priorities were measured by Schwartz et al.’s Portrait Value Questionnaire, empathy variables by Davis’ Interpersonal Reactivity Index, and feelings of sympathy were rated using a real‐life moral conflict. The results showed that students in care‐oriented fields progressed in care reasoning. Real‐life sympathy and the value of self‐direction positively predicted development in care reasoning, whereas personal distress was a negative predictor. The results indicate that care‐based moral development is more closely connected with affective empathy than personal values. Individuals who feel empathy for others, and who prefer independent thinking and action, achieve the greatest gains in care development. In conclusion, educators should encourage students’ empathy and moral reasoning in authentic moral conflicts.     

心理学视角下的价值观冲突:影响及其理论解释

价值观冲突是指个体之间由于不同的价值观念而产生的相互否定和竞争现象。在当前心理学领域的实证研究中, 价值观冲突通常分为两类:一类是因价值观念或身份无法兼容而引发的长期冲突, 另一类是由价值两难选择任务引发的即时冲突。这两类冲突都可能导致一系列消极的心理影响, 例如增加压力感知、焦虑水平和心理紧张度。研究者主要从价值观背后的动机对立性和自我概念完整性的威胁感知两个方面, 来解释价值观冲突的产生原因及其影响。未来的研究需要进一步明确价值观冲突的产生机制, 扩展对调节因素的认识, 并揭示其对个体的影响, 以开展相应的调节与干预研究。     

贝叶斯结构方程模型及其研究现状

在心理学研究中结构方程模型(Structural Equation Modeling, SEM)被广泛用于检验潜变量间的因果效应, 其估计方法有频率学方法(如, 极大似然估计)和贝叶斯方法两类。近年来由于贝叶斯统计的流行及其在结构方程建模中易于处理小样本、缺失数据及复杂模型等方面的优势, 贝叶斯结构方程模型发展迅速, 但其在国内心理学领域的应用不足。主要介绍了贝叶斯结构方程模型的方法基础和优良特性, 及几类常用的贝叶斯结构方程模型及其应用现状, 旨在为应用研究者介绍新的研究工具。     

Latent curve analysis

As a method for representing development, latent trait theory is presented in terms of a statistical model containing individual parameters and a structure on both the first and second moments of the random variables reflecting growth. Maximum likelihood parameter estimates and associated asymptotic tests follow directly. These procedures may be viewed as an alternative to standard repeated measures ANOVA and to first-order auto-regressive methods. As formulated, the model encompasses cohort sequential designs and allow for period or practice effects. A numerical illustration using data initially collected by Nesselroade and Baltes is presented.The authors wish to thank John Nesselroade for providing us the data for our illustration and Karen Paul and Connie Tilse for assisting in the data analysis. This research was supported by a grant (No. AG03164) from the National Institute on Aging to the senior author.