道德外语效应的三种机制及与外语水平的关系

道德外语效应(Moral Foreign Language effect)是指人们的道德判断在外语条件下发生改变的现象,自该效应提出以来,其背后的机制一直都是研究的热点。道德外语效应的解释机制主要有审慎加工增强、情绪反应减少和道德规范联结的减弱等。本文对三种影响机制进行了探讨,发现情绪、道德规范和外语水平对道德判断可能会产生影响。同时,本文指出未来可以从自我控制、认知启动效应、消极情绪启动效应及道德规范与外语水平之间的关系进行研究和探讨。     

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。     

The implicit sociometer effect and the moderating role of relational self‐construal

The present study examined how negative feedback influenced implicit self‐evaluations and how individuals' level of relational self‐construal (RelSC) moderated these relationships. One hundred Chinese university students completed the relational‐interdependent self‐construal scale and were randomly assigned into one of three conditions (social exclusion, personal failure, or control). After receiving the manipulation, participants completed two Brief Implicit Association Tests (BIATs) that measured their implicit self‐liking and self‐competence. The results indicated that people with a highly RelSC typically had higher implicit self‐liking, but they decreased their implicit self‐liking more than those with a low RelSC after experiencing social exclusion. However, RelSC did not influence the effect of personal failure on implicit self‐liking. In addition, RelSC was not associated with implicit self‐competence in any situation.     

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.     

Priming modernity and work experiences strengthens the association between fairness/harm concerns and anger in China

According to the CAD model of emotional responses to immorality, if an event violates the moral foundations of justice and harm, people will feel angry. However, the model is silent on whether the strength of association between anger and perceived injustice/harm is context‐dependent. Using a contextual priming paradigm, the current research shows that in China, the association between anger and perceived injustice/harm is stronger when work (vs family) and modern (vs traditional) contexts are primed. Specifically, we primed modernity versus traditionality (Experiment 1) and work experiences (Experiment 2) and measured the strength of association between justice/harm concerns and anger. The results show that: (i) the linkage between justice/harm concern and anger was stronger in the modernity priming condition than in the tradition priming or control conditions; and (ii) the linkage between justice/harm concern and anger was stronger in the work experience priming condition than in the control condition. In short, priming modern and work contexts strengthens the association between justice/harm concerns and anger, suggesting the strength of the morality–emotion link is context‐dependent.     

Associations between multiple health risk behaviors and mental health among Chinese college students

Although there is substantial evidence that health risk behaviors increase risks of premature morbidity and mortality, little is known about the multiple health risk behaviors in Chinese college students. Here, we investigated the prevalence of multiple health risk behaviors and its relation to mental health among Chinese college students. A cross-sectional study was conducted in Wuhan, China from May to June 2012. The students reported their health risk behaviors using self-administered questionnaires. Depression and anxiety were assessed using the self-rating depression scale and self-rating anxiety scale, respectively. A total of 2422 college students (1433 males) aged 19.7 ± 1.2 years were participated in the study. The prevalence of physical inactivity, sleep disturbance, poor dietary behavior, Internet addiction disorder (IAD), frequent alcohol use and current smoking was 62.0, 42.6, 29.8, 22.3, 11.6 and 9.3%, respectively. Significantly increased risks for depression and anxiety were found among students with frequent alcohol use, sleep disturbance, poor dietary behavior and IAD. Two-step cluster analysis identified two different clusters. Participants in the cluster with more unhealthy behaviors showed significantly increased risk for depression (odds ratio (OR): 2.21; 95% confidence interval (CI): 1.83, 2.67) and anxiety (OR: 2.32; 95%CI: 1.85, 2.92). This study indicates that a relatively high prevalence of multiple health risk behaviors was found among Chinese college students. Furthermore, the clustering of health risk behaviors was significantly associated with increased risks for depression and anxiety.