婚姻挤压对农村男性生命质量的影响

本研究基于中国的性别失衡背景和在陕西省安康市汉滨区农村地区的调查数据分析婚姻挤压对农村男性生命质量的影响。描述性分析结果显示,28岁以上的未婚男性,其生命质量水平较低;无论处于何种年龄阶段和婚姻状态,感受到婚姻挤压的男性生命质量显著低于未感受到婚姻挤压的男性。回归分析结果显示,婚姻挤压感受和年龄对于男性生命质量均具有显著的独立影响,其影响方向与描述性分析结果一致。这说明婚姻挤压确实会显著降低农村男性的生命质量水平。     

The practical utility of the Welch Emotional Connection Screen for rating parent–infant relational health

Emotional Connection (EC) measured by the Welch Emotional Connection Screen (WECS) was related to the Parent–Infant Interaction Rating System (PIIRS), a 5‐point adaptation of the rating system developed for the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (e.g., NICHD Early Child Care Research Network, 1999, Developmental Psychology, 35, 1399). Parent–infant dyads (n = 49 mothers; 43 fathers) were videotaped during face‐to‐face interaction at infant age 6 months; interactions were coded with both the WECS and PIIRS. At age 3, mothers completed the Child Behavior Checklist. WECS ratings of EC were associated with PIIRS rating items for both mother–infant and father–infant dyads. Mother–infant EC related positively to maternal sensitivity and positive regard for child, child positive mood and sustained attention, and dyadic mutuality, and negatively with maternal intrusiveness. Father–infant EC related positively to fathers' positive regard for child, child positive mood and sustained attention, and dyadic mutuality. Mother–infant EC predicted child behavior problems at age 3 better than mother–infant PIIRS ratings of dyadic mutuality. With fathers, neither EC nor dyadic mutuality ratings predicted mother‐reported child behavior problems. Findings highlight the practical utility of the WECS for identifying potentially at‐risk dyads and supporting early relational health.     

The Status of Family Resilience: Effects of Sustainable Livelihoods in Rural China

Family resilience is the capacity of a family to mitigate adversity using its resources, structure, and internal connections. In rural China, where sustainable livelihoods are changing rapidly because of urbanization and migration, it is not clear how family resilience interacts with sustainability of livelihoods. This study of rural Chinese families classifies individual’s perceived family resilience and discusses how sustainable livelihoods influence this classification. A multilevel survey of rural families reveals three categories of perceived resilience in families: perceived optimistic families, perceived cooperative families, and perceived pessimistic families. Sustainable livelihoods, including natural, social, financial, and human capitals, have significant impacts on this classification of perceived family resilience. We conclude that rural families in China vary in their levels of family resilience, and the more physical and financial capital they have, the more internal cooperation there is within families. The more natural and traditional social capital families have, the less internal cooperation there is within families. The more human resources families have, the more resilience they have.

     

The effects of multiracial identification on students’ perceptions of racism

This paper compares the differing perceptions of racism reported by White (n = 222), Black (n = 99), and White–Black multiracial (n = 45) students at an urban campus of a Southern university. Using one-way analysis of variance (ANOVA), we examine the differences between the racial groups in three campus contexts—campus in general, with instructors, and with other students. Items chosen for analysis included behaviors or actions experienced by at least 4% of the respondents. In nearly all areas, the multiracial student group reported the most experience with prejudice. We employ standpoint theory to discuss these findings.     

Modeling Longitudinal Obesity Data with Intermittent Missingness Using a New Latent Variable Model

We propose a latent variable model for informative missingness in longitudinal studies which is an extension of latent dropout class model. In our model, the value of the latent variable is affected by the missingness pattern and it is also used as a covariate in modeling the longitudinal response. So the latent variable links the longitudinal response and the missingness process. In our model, the latent variable is continuous instead of categorical and we assume that it is from a normal distribution. The EM algorithm is used to obtain the estimates of the parameter we are interested in and Gauss–Hermite quadrature is used to approximate the integration of the latent variable. The standard errors of the parameter estimates can be obtained from the bootstrap method or from the inverse of the Fisher information matrix of the final marginal likelihood. Comparisons are made to the mixed model and complete-case analysis in terms of a clinical trial dataset, which is Weight Gain Prevention among Women (WGPW) study. We use the generalized Pearson residuals to assess the fit of the proposed latent variable model.     

Consequences of Eye Color,Positioning, and Head Movement for Eye‐Tracking Data Quality in Infant Research

Eye tracking has become a valuable tool for investigating infant looking behavior over the last decades. However, where eye‐tracking methodology and achieving high data quality have received a much attention for adult participants, it is unclear how these results generalize to infant research. This is particularly important as infants behave different from adults in front of the eye tracker. In this study, we investigated whether eye physiology, positioning, and infant behavior affect measures of eye‐tracking data quality: accuracy, precision, and data loss. We report that accuracy and precision are lower, and more data loss occurs for infants with bluish eye color compared to infants with brownish eye color. Moreover, accuracy was lower for infants positioned in a high chair or in the parents' lap compared to infants positioned in a baby seat. Finally, precision decreased and data loss increased as a function of time. We highlight the importance of data quality when comparing multiple groups, as differences in data quality can affect eye‐tracking measures. In addition, we investigate how two different measures to quantify infant movement influence eye‐tracker data quality. These findings might help researchers with data collection and help manufacturers develop better eye‐tracking systems for infants.     

The Differential Earnings and Income Effects of Involuntary Job Loss on Workers with Disabilities — Evidence from Sweden

People with disabilities are consistently found to face considerable difficulties in the labour market. In this study we investigated whether their earnings and income trajectories are more adversely affected in case of involuntary job loss. Earnings of those with and without disabilities began to diverge already several years prior to job loss because of larger incidence of sickness. Following job loss much more job losers with disabilities became disability retirees resulting in a considerable and seemingly permanent earnings differential. However, larger uptake of public social insurances among job losers with disabilities resulted in a much smaller income differential.     

中国城乡迁移对代际经济支持的影响——基于社会性别视角的研究

中国城乡迁移带来的家庭结构的改变有可能影响中国农村传统的家庭观念和养老方式。文章利用深圳市外来农村流动人口调查数据,分析深圳市外来已婚农村打工者的性别因素对流动后其对仍生活在农村的父母及配偶父母的经济支持的影响。结果显示,男女打工者在流动后都增加了对父母的经济支持,但女性打工者在流动后更可能增加给配偶父母的经济支持。这一结果说明,依靠儿子养老的传统养老模式仍然占主导地位,但外出打工女性正在缩小这种社会性别差异。