Poverty and educational achievement in the US: A less-biased estimate using PISA 2012 data

In the current paper, we employ the most recent Programme for International Student Assessment (PISA) data to calculate a less-biased estimate of poverty on US achievement. The PISA was specifically chosen as it is an assessment removed from a specific curriculum and instead focuses on concepts that students should know in order to participate in a global economy. Using a propensity score matching approach, our findings suggest that US students in poverty have notable educational attainment deficiencies compared to a matched group of students who are not in poverty. In other words, when we select two students who have a great deal in common but for the fact that one comes from a poverty background, the student in poverty is expected to perform nearly 28 points, or about a quarter of a standard deviation lower, on the PISA assessment. In real terms, this puts math achievement for children not in poverty on-par with the Organisation for Economic Co-operation and Development (OECD) average, while children in poverty are well below the OECD average.     

认知鸿沟视角下的网络谣言传播影响因素研究——以台湾洪仲丘事件为例

从认知心理角度，以平衡理论、一致性理论与认知失调理论为基础，延伸出认知鸿沟概念，探讨虚拟世界中的网络谣言传播，分析中国台湾地区网民对于2013年发生的重大社会事件洪仲丘命案，检视认知鸿沟、信任态度、误信谣言到再传递的过程。透过量化问卷调查进行实证，分析604份有效问卷。结果显示:当产生的认知鸿沟越大时，民众会越相信谣言，在态度上也越不会信任中国台湾军方与地区行政当局，在行为上也越倾向于将讯息再次传递出去。此外，从模型结构中也发现，相信谣言这个变量，在认知鸿沟与网络传播的路径间扮演重要的中介变量角色，显示认知鸿沟不仅会对讯息传递产生直接效果，还会通过误信谣言造成间接效果，然而，这种显著的中介角色在军政信任变量上却未发现。     

From cognitive dissonance to cognitive Polyphasia: A sociocultural approach to understanding meat‐paradox

Cognitive Dissonance Theory seeks to understand inconsistency by situating it within individual cognition. By doing so, it overlooks the role of the social context in the experience and management of inconsistency and dissonance and fails to capture the processes through which it is negotiated when it appears. On the other side, the cognitive polyphasia hypothesis together with a dialogical approach on Social Representations provide a socioculturally situated, process‐oriented understanding of inconsistency. In this paper, meat‐paradox, the phenomenon of simultaneously declaring love and respect towards animals and also consuming animals, mainly studied through Cognitive Dissonance Theory, is used in order to highlight the merits of a sociocultural approach to inconsistency. Four relevant empirical examples from interviews and focus groups with meat‐eaters and vegetarians in Cyprus are used to illustrate the approach. The examples illustrate how meat‐eaters manage dissonance in ways that exhibit coexistence of contradictory representations and ways of thinking. Three different modalities of knowledge coexistence are identified, as proposed by cognitive polyphasia researchers: displacement, selective prevalence and hybridisation. We discuss the importance of a sociocultural approach to studying paradoxes, the epistemological and methodological implications of such a theorisation and we suggest other life contexts in which such an approach can be applied.     

作为评价尺度的儿童文学人物形象塑造

人物形象塑造是儿童文学基础理论研究的一个重要课题，在当前我国原创儿童文学形象塑造不力的背景下显得尤为迫切而重要。儿童文学特殊的文类属性及其基本功能决定其人物形象是召唤并引领儿童读者展开审美体验的关键精神力量，大量经典儿童文学呈现出这样的文学规律。总结我国百年儿童文学人物形象的变迁及发展发现，形象塑造的美学症结依然在于解决成人社会观念中的“儿童本位”问题。     

语义场理论对科技术语翻译的启示从——“水资源管理”一词的英汉互译谈起

科技术语在不同语言之间的翻译是一个复杂的语义匹配过程，如何在考虑相关术语使用现状的基础上将新产生的科技术语准确翻译为其它语言是科技工作者和术语研究者关注的重要问题。以语义场理论为分析框架，通过分析以"水资源管理"及其相关术语为代表的英汉互译，结果发现：不同科技术语在同一语义场所涵盖的语义范围将会随着相关研究深化带来的术语界定细化而发生相应的动态变化；新兴科技术语的翻译要充分考虑其所在语义场其它相关科技术语的翻译先例和使用现状所带来的影响，在翻译准确性和解读便利性之间做出适当的平衡。这是造成"水资源管理"及相关术语英汉互译处理极为复杂的重要原因之一，需要科技翻译者在工作实践中多加注意。     

Mothers' work patterns and Children's cognitive achievement: Evidence from the India Human Development survey

As female labor force participation increases globally, the relationship between maternal employment and children's development remains unclear. Using data from the India Human Development Survey (2005), we investigate the link between maternal employment and children's arithmetic and reading achievement. We develop a work pattern typology that goes beyond standard measures of employment and captures work intensity and its compatibility with child-rearing in a transitional economy. We find that the relationship between maternal employment and children's outcomes is not unidimensional. For example, children of self-employed mothers are not disadvantaged compared to those with stay-at-home mothers, but maternal employment in salaried jobs or wage work outside the home is negatively associated with cognitive skills in children. However, this negative association is reversed at higher levels of maternal education, suggesting greater access to resources and flexibility associated with better jobs mitigate the negative aspects of maternal employment posed by time constraints. Additionally, maternal employment is associated with maternal involvement in schoolwork and financial investment in academic activities, providing evidence that both time and resources devoted to children's education are significant.     

Field of study variation throughout the college pipeline and its effect on the earnings gap: Differences between ethnic and immigrant groups in Israel

This study demonstrates the analytical leverage gained from considering the entire college pipeline—including the application, admission and graduation stages—in examining the economic position of various groups upon labor market entry. The findings, based on data from three elite universities in Israel, reveal that the process that shapes economic inequality between different ethnic and immigrant groups is not necessarily cumulative. Field of study stratification does not expand systematically from stage to stage and the position of groups on the field of study hierarchy at each stage is not entirely explained by academic preparation. Differential selection and attrition processes, as well as ambition and aspirations, also shape the position of ethnic groups in the earnings hierarchy and generate a non-cumulative pattern. These findings suggest that a cross-sectional assessment of field of study inequality at the graduation stage can generate misleading conclusions about group-based economic inequality among workers with a bachelor’s degree.     

Understanding Gaps Between the Risk Perceptions of Wildland–Urban Interface (WUI) Residents and Wildfire Professionals

Research across a variety of risk domains finds that the risk perceptions of professionals and the public differ. Such risk perception gaps occur if professionals and the public understand individual risk factors differently or if they aggregate risk factors into overall risk differently. The nature of such divergences, whether based on objective inaccuracies or on differing perspectives, is important to understand. However, evidence of risk perception gaps typically pertains to general, overall risk levels; evidence of and details about mismatches between the specific level of risk faced by individuals and their perceptions of that risk is less available. We examine these issues with a paired data set of professional and resident assessments of parcel‐level wildfire risk for private property in a wildland–urban interface community located in western Colorado, United States. We find evidence of a gap between the parcel‐level risk assessments of a wildfire professional and numerous measures of residents’ risk assessments. Overall risk ratings diverge for the majority of properties, as do judgments about many specific property attributes and about the relative contribution of these attributes to a property's overall level of risk. However, overall risk gaps are not well explained by many factors commonly found to relate to risk perceptions. Understanding the nature of these risk perception gaps can facilitate improved communication by wildfire professionals about how risks can be mitigated on private lands. These results also speak to the general nature of individual‐level risk perception.     

A class of additive transformation models for recurrent gap times

Abstract

The gap time between recurrent events is often of primary interest in many fields such as medical studies, and in this article, we discuss regression analysis of the gap times arising from a general class of additive transformation models. For the problem, we propose two estimation procedures, the modified within-cluster resampling (MWCR) method and the weighted risk-set (WRS) method, and the proposed estimators are shown to be consistent and asymptotically follow the normal distribution. In particular, the estimators have closed forms and can be easily determined, and the methods have the advantage of leaving the correlation among gap times arbitrary. A simulation study is conducted for assessing the finite sample performance of the presented methods and suggests that they work well in practical situations. Also the methods are applied to a set of real data from a chronic granulomatous disease (CGD) clinical trial.