Development and validation of a Christian-based Grief Recovery Scale

The purpose of this study was to develop and validate a Christian-based Grief Recovery Scale (CGRS) which was used to measure Christians recovering from grief after a significant loss. Taiwanese Christian participants were recruited from churches and a comprehensive university in northern Taiwan. They were affected by both the Christian faith and Chinese cultural beliefs. The CGRS is developed through replicated factor analyses in three stages. The final version of the CGRS retains 35 Likert-type items and consists of six factors: spiritual well-being; recovering meaning and sense of control; ongoing physical and emotional responses; reassuring faith; strongly missing a deceased loved one; and life disturbance. The evidence for CGRS reliability and validity is highlighted. Implications for research and counselling practice are suggested.     

Effects of Three Sources of Social Support on Survivors' Posttraumatic Stress After the Wenchuan Earthquake

This study investigated the relationship between social support and symptoms of posttraumatic stress among adolescents who were exposed to the 2008 Wenchuan earthquake in China. The results showed that three sources of social support—support from family, support from friends, and support from significant others—have significant main effects on posttraumatic stress disorder (PTSD). Buffering effects of social support were not supported. Gender and residency were also associated with PTSD, with female adolescents and adolescents from rural areas demonstrating higher levels of PTSD than their male counterparts and adolescents from urban and township areas.     

Magnetic-field dependence of nucleation undercoolings in non-magnetic metallic melts

The nucleation undercoolings of non-magnetic metals like paramagnetic aluminium in high magnetic fields were measured by the differential thermal analysis technique. It was shown that the nucleation undercooling of pure aluminium increased with increasing the magnetic field, while its melting temperature was hardly changed. Based on the model of magnetic dipoles at the interface, it is proposed that the magnetic-field-induced interfacial energy mainly contributes to the increase in undercooling. The change in undercooling in the magnetic field is calculated theoretically, which is in comparison with experimental data. Additionally, the inhibition of atom diffusion in the magnetic field plays a role in the change of undercooling.     

马克思劳动人本思想对资本逻辑的批判与超越

不断占有剩余价值以自我增殖,进而无度扩张,这构成资本的内在逻辑。资本提升了劳动能力,改进了劳动方式,变革了全部社会关系,瓦解了封建体系,为人的解放创造了前提。但在资本逻辑支配下,劳动采取异化形式沦为资本增殖的元素,引发资本统治劳动、人为物驭的发展悖论,此一洞见构成马克思劳动人本思想对资本逻辑的批判向度。透过劳动从属资本的迷雾,马克思深度揭示了劳动发展与社会演进和人的本质的内在同一性,确认了劳动者的历史主体地位,指明了经由劳动和劳动者解放实现人的解放以及资本逻辑消亡的必然性,彰显了劳动人本思想以劳动和劳动者为本的价值诉求及对资本逻辑的超越之维。     

Determinants of pro‐environmental consumption intention in rural China: The role of traditional cultures,personal attitudes and reference groups

This study aimed to identify social‐psychological predictors of pro‐environmental consumption intention in rural China. To this end, a proposed conceptual model was tested by analyzing the survey data derived from 972 rural respondents in Jiangxi province in south‐eastern China. Results showed that the endorsement of traditional cultures (man–nature orientation and collectivism) was linked with pro‐environmental consumption behaviuor, but was mediated by intentions. Personal attitudes (environmental cognition and environmental affect) and reference groups influenced both intention and behaviour. The results also provided good evidence of the intention–behaviour relationship. These findings provided a better understanding of the process in which Chinese rural residents developed their pro‐environmental consumption behaviours.     

情绪的确定性评价对信息加工的影响

检验了情绪的效价和确定性评价对个体的信息加工策略选择的影响及其心理机制。结果表明,情绪效价对个体的信息加工方式的影响会受到情绪确定性评价的调节。高确定评价的情绪中,积极情绪的被试更倾向于采用启发式加工,消极情绪的被试更倾向于采用系统式加工。积极情绪中,高确定评价情绪的被试更倾向于采用启发式加工,低确定评价情绪的被试更倾向于采用系统式加工。当个体对自己产生情绪的原因进行合理归因后,情绪效价和确定性评价对个体信息加工方式的影响效应都消失了,说明情绪的效价和确定性评价均以信息的方式对对个体信息加工策略的选择产生影响。     

情绪对联合行动中共同表征能力的影响机制

采用联合Simon任务通过3个实验探究不同情绪维度对联合任务中共同表征能力的影响机制。实验1a、1b分别考察在高、低唤醒度条件下不同效价对个体共同表征能力的影响; 实验2在此基础上进一步探索动机维度在其中的作用。结果发现：无论效价高低, 高唤醒度都是提高个体共同表征能力的关键因素, 且动机强度在其中起一定调节作用; 而在低唤醒度条件下, 高效价会起一定补偿作用。上述结果很好地支持了参照编码假说, 也澄清了情绪不同维度对联合动作表征的影响机制。     

Comparing Latent Means Without Mean Structure Models: A Projection-Based Approach

The conventional setup for multi-group structural equation modeling requires a stringent condition of cross-group equality of intercepts before mean comparison with latent variables can be conducted. This article proposes a new setup that allows mean comparison without the need to estimate any mean structural model. By projecting the observed sample means onto the space of the common scores and the space orthogonal to that of the common scores, the new setup allows identifying and estimating the means of the common and specific factors, although, without replicate measures, variances of specific factors cannot be distinguished from those of measurement errors. Under the new setup, testing cross-group mean differences of the common scores is done independently from that of the specific factors. Such independent testing eliminates the requirement for cross-group equality of intercepts by the conventional setup in order to test cross-group equality of means of latent variables using chi-square-difference statistics. The most appealing piece of the new setup is a validity index for mean differences, defined as the percentage of the sum of the squared observed mean differences that is due to that of the mean differences of the common scores. By analyzing real data with two groups, the new setup is shown to offer more information than what is obtained under the conventional setup.     

Robust Methods for Moderation Analysis with a Two-Level Regression Model

Moderation analysis has many applications in social sciences. Most widely used estimation methods for moderation analysis assume that errors are normally distributed and homoscedastic. When these assumptions are not met, the results from a classical moderation analysis can be misleading. For more reliable moderation analysis, this article proposes two robust methods with a two-level regression model when the predictors do not contain measurement error. One method is based on maximum likelihood with Student's t distribution and the other is based on M-estimators with Huber-type weights. An algorithm for obtaining the robust estimators is developed. Consistent estimates of standard errors of the robust estimators are provided. The robust approaches are compared against normal-distribution-based maximum likelihood (NML) with respect to power and accuracy of parameter estimates through a simulation study. Results show that the robust approaches outperform NML under various distributional conditions. Application of the robust methods is illustrated through a real data example. An R program is developed and documented to facilitate the application of the robust methods.     

Individual-based relative deprivation (IRD) decreases prosocial behaviors

Five studies investigated the relationship between individual-based relative deprivation (IRD) and prosocial behaviors. Study 1 found that income satisfaction, a concept closely related to IRD, was negatively associated with prosocial values across cultures. Study 2 found a negative association between IRD and prosocial aspirations among a sample of Chinese university students. Study 3 revealed a negative association between IRD and volunteer behaviors. In Studies 4 and 5, we found that laboratory-induced IRD decreased undergraduate students’ prosocial values and behaviors. Moreover, Study 5 also found that the tendency to prioritize self-interest over others’ mediated the effect of IRD on prosocial behaviors. Implications of these findings are discussed.