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.     

Structural Social Capital,Household Income and Life Satisfaction: The Evidence from Beijing,Shanghai and Guangdong-Province,China

Although the positive associations between social capital, household income and life satisfaction are well documented, little is known about how income actually shapes the relation between structural social capital and life satisfaction. This study investigates the roles of economic condition in determining the relationships between life satisfaction and three aspects of structural social capital, namely network size, neighborhood interaction and social participation. This study uses a random sample of 6002 adults nested in 2365 families from three regions in China: Beijing, Shanghai and Guangdong-province and applies multilevel linear regression models. The results firstly show that household income and structural social capital are positively associated with life satisfaction. Further analyses on the interaction effects find that household income substantively reduces the association between a social network size and life satisfaction but increases the relationship between social participation and life satisfaction. In addition, the differences between families explain about 25 % unexplained variances of life satisfaction.     

Mind–culture interactions: How writing molds mental fluidity in early development

This study investigated intellectual development in 4–7 years old Greek and Chinese children. They were examined on speeded performance, working memory, reasoning, and self-awareness tasks in order to investigate possible effects of learning the Chinese logographic system on possible differences in intellectual development between these ethnic groups. Speeded performance was examined with commonly familiar objects and tasks related to reading (i.e., Latin, Arabic, and Chinese characters). Chinese outperformed Greeks in (1) reading-related processing efficiency tasks but not in common objects (2) spatial but not verbal WM, (3) cognitive, and (4) the self-awareness tasks. Structural equation modeling showed that performance is organized in four systems (i.e., domain-specific problem solving, representational capacity, inference, and consciousness) integrated by g, in both ethnic groups. There were differences between the two ethnicities in the strength of relations between constructs, attributed to Chinese logographic experience. That is, the massive practice in visuo/spatial processing and memory seemed to provide an advantage in the communication between systems of the mind causing increased general cognitive fluidity, expressed in higher intellectual performance among the Chinese.     

自我损耗对工作记忆的影响及其克服

实验1考察了自我损耗对工作记忆的影响。40名6年级小学生被随机分配到实验组和控制组,分别完成损耗任务和非损耗任务。结果发现,与控制组相比,实验组被试的工作记忆容量明显降低。实验2考察积极情绪能否克服自我损耗对工作记忆的负面影响。40名6年级小学生参加了实验。在完成损耗任务后,采用自传式回忆的方法诱发实验组的积极情绪。结果发现,诱发被试的积极情绪体验,能够克服自我损耗对于工作记忆的消极影响。     

Non-Compliance with On-Site Data Collection in Outdoor Recreation Monitoring

ABSTRACT

A wide range of methods exists for on-site visitor monitoring in parks and recreation areas. Self-registration methods have proven to be popular because of their low cost and relative ease of administration, but little is known about the extent to which the data collected from self-registration boxes are representative of the population of visitors, and the degree that bias exists as a result of non-compliance. This article examines these concerns based on research at Fulufjället National Park in Sweden. On-site registration card and follow-up mail survey data from a sample of visitors who did not voluntarily register were compared with the same kind of data for visitors who did register voluntarily. In total, 10 registration card items and 284 mail survey items were tested for variations between compliant and non-compliant visitors. Of these, one third of the card items, 12% and 3% of the survey items for Swedish and German visitors, respectively, yielded statistically significant differences. Implications for management and suggestions for further research are discussed.