Longitudinal relations between behavioral inhibition and social information processing: Moderating role of maternal supportive reactions to children's emotions

Utilizing multiple measures of interpretive biases, the current study examined the roles of toddlers’ behavioral inhibition (BI) and maternal supportive reactions to children's negative emotions in relation to children's interpretive biases across middle to late childhood. Toddlers’ BI was measured during several laboratory tasks (n = 248) at 2 and 3 years of age. Mothers reported on their reactions to children's negative emotional expressions when children were 7 years old (n = 203), and children's interpretations of social cues were assessed at 7 and 10 years of age (n s = 179 and 161, respectively). Toddlers with high levels of BI expressed less positivity toward social engagement with unfamiliar peers during discussion of ambiguous social situations. Further, children with high BI were less likely to attribute the cause of negative social situations to external factors, particularly when mothers were less accepting of children's negative emotional displays. Findings are discussed in terms of cognition related to the interpretation of ambiguous and threat‐related social situations among temperamentally at‐risk children.     

New options for national population surveys: The implications of internet and smartphone coverage

Challenges to survey data collection have increased the costs of social research via face-to-face surveys so much that it may become extremely difficult for social scientists to continue using these methods. A key drawback to less expensive Internet-based alternatives is the threat of biased results from coverage errors in survey data. The rise of Internet-enabled smartphones presents an opportunity to re-examine the issue of Internet coverage for surveys and its implications for coverage bias. Two questions (on Internet access and smartphone ownership) were added to the National Survey of Family Growth (NSFG), a U.S. national probability survey of women and men age 15–44, using a continuous sample design. We examine 16 quarters (4 years) of data, from September 2012 to August 2016.Overall, we estimate that 82.9% of the target NSFG population has Internet access, and 81.6% has a smartphone. Combined, this means that about 90.7% of U.S. residents age 15–44 have Internet access, via either traditional devices or a smartphone. We find some evidence of compensatory coverage when looking at key race/ethnicity and age subgroups. For instance, while Black teens (15–18) have the lowest estimated rate of Internet access (81.9%) and the lowest rate of smartphone usage (72.6%), an estimated 88.0% of this subgroup has some form of Internet access.We also examine the socio-demographic correlates of Internet and smartphone coverage, separately and combined, as indicators of technology access in this population. In addition, we look at the effect of differential coverage on key estimates produced by the NSFG, related to fertility, family formation, and sexual activity. While this does not address nonresponse or measurement biases that may differ for alternative modes, our paper has implications for possible coverage biases that may arise when switching to a Web-based mode of data collection, either for follow-up surveys or to replace the main face-to-face data collection.     

Hypothesis Tests for Neyman's Bias in Case–Control Studies

Survival bias is a long recognized problem in case–control studies, and many varieties of bias can come under this umbrella term. We focus on one of them, termed Neyman's bias or ‘prevalence–incidence bias’. It occurs in case–control studies when exposure affects both disease and disease-induced mortality, and we give a formula for the observed, biased odds ratio under such conditions. We compare our result with previous investigations into this phenomenon and consider models under which this bias may or may not be important. Finally, we propose three hypothesis tests to identify when Neyman's bias may be present in case–control studies. We apply these tests to three data sets, one of stroke mortality, another of brain tumors, and the last of atrial fibrillation, and find some evidence of Neyman's bias in the former two cases, but not the last case.     

“工匠精神”究竟是什么：一个整合性框架

当前工匠精神已被提升到国家层面,“弘扬工匠精神,厚植工匠文化”逐渐成为开展品质革命的重要助推力。现有研究主要从职业精神、道德伦理、组织文化和价值取向等4个基本视角对工匠精神进行界定,但存在着视角不够全面、层次较为单一的问题。为了更好地推动工匠精神研究及其相关实践开展需构建一个整合性的概念框架,即工匠精神包含品质追求、履职信念、职业承诺、能力素养、持续创新和传承关怀等6个维度,它们可从终极目标、业务技艺、职业态度和社会责任等4个方面系统地诠释工匠精神的丰富内涵。未来研究可以在该整合性框架的基础上开发相应的测量工具,进而探究工匠精神的影响前因、作用结果及其边界条件等。     

中庸思维影响潜变量测量结果的验证

选取等效的新浪网、时光网、搜狐网和IMDb的口碑评价量表,以大学女生为调查对象,对6部热播电视剧进行口碑评价,得出中庸思维影响潜变量测评的结论.中庸思维的论证是通过研究被调查者内心已经有了一个特定打分倾向后对被测客体会如何打分来进行的,并通过计算条件均值的方法来验证.实证表明,被调查者内心有了一个特定打分倾向之后,依然会不自觉地偏向中心点给被测客体打分,验证了中国文化中中庸思维对潜变量测量的影响.另外,数据呈现出负偏现象,更多地是反映了被测客体的真实表现.     

A class of exponential-type ratio estimators of a general parameter

This paper addresses the problem of estimating a general parameter using information on an auxiliary variable X. We have suggested a class of exponential-type ratio estimators for the parameter and its properties are studied. It is identified that the estimators due to Upadhyaya et al. [Journal of Statistical Theory and Practice (2011), 5(2), 285–302] and Yadav and Kadilar [Revista Columbiana de Estadistica, (2013), 36(1), 145–152] are members of the proposed estimator. We have also shown that the suggested estimator is more efficient than the estimators of Upadhyaya et al. (2011 Upadhyaya, L.N., Singh, H.P., Chatterjee, S., Yadav, R. (2011). Improved ratio and product exponential type estimators. J. Stat. Theo. Pract. 5 (2): 285–302.[Taylor &; Francis Online] , [Google Scholar]) and Yadav and Kadilar (2013 Yadav, S.K., Kadilar, C. (2013). Improved exponential type ratio estimator of population variance. Revis. Colum. de Estadist. 36(1): 145–152. [Google Scholar]). Numerical illustration is provided in support of the present study.     

Intention to Leave the Profession: Welfare Social Workers Compared to Health Care and Community Social Workers in Israel

ABSTRACT

This study aimed to compare specific work related-factors (personal factor: length of work experience; structural factors: personal subjection to violence and fear of being subjected to violence; and psychological factors: professional quality of life—compassion satisfaction, burnout, and compassion fatigue) between welfare social workers (SWs) (n = 200) and health care and community SWs (n = 173). Furthermore, since the issue of turnover among SWs has important implications for the provision and programming of social services, the study also aimed to assess the relationship between these factors and SW intention to leave the profession. For the purpose of this study, online questionnaires were distributed to SWs working at social agencies and services. The findings suggest that the two categories of SWs showed a similarity with regard to the association between the personal and structural factors and intention to leave the profession. However, with regard to the psychological factors, the components of professional quality of life were found to operate differently in each category of SWs. It is suggested that future research examine other work-related factors and explore the intention to leave the profession among other social work specializations and employment sectors.     

Discovering hidden statistical issues through individual-level models in ecological studies

ABSTRACT

In ecological studies, individual inference is made based on results from ecological models. Interpretation of the results requires caution since ecological analysis on group level may not hold in the individual level within the groups, leading to ecological fallacy. Using an ecological regression example for analyzing voting behaviors, we highlight that the explicit use of individual-level models is crucial in understanding the results of ecological studies. In particular, we clarify three relevant statistical issues for each individual-level models: assessment of the uncertainty of parameter estimates obtained from a wrong model, the use of shrinkage estimation method for simultaneous estimation of many parameters, and the necessity of sensitivity analysis rather than adhering to one seemingly most compelling assumption.     

河北省优秀传统文化的近期偏好、现代阐释和愿景设计

河北省作为京津冀协同发展及其雄安新区建设的重要一环，具有很强文化资源禀赋。通过对河北省传统文化近期偏好、现代阐释和愿景设计的研究，为河北省消除地区文化差异和经济差异提供理论指导，并为之注入现代内涵，具有很强的现实意义和理论意义。     

A network centrality bias: Central individuals in workplace networks have more supportive coworkers

Combining the results of two empirical studies, we investigate the role of alters’ motivation in explaining change in ego’s network position over time. People high in communal motives, who are prone to supportive and altruistic behavior in their interactions with others as a way to gain social acceptance, prefer to establish ties with co-workers occupying central positions in organizational social networks. This effect results in a systematic network centrality bias: The personal network of central individuals (individuals with many incoming ties from colleagues) is more likely to contain more supportive and altruistic people than the personal network of individuals who are less central (individuals with fewer incoming ties). This result opens the door to the possibility that the effects of centrality so frequently documented in empirical studies may be due, at least in part, to characteristics of the alters in an ego’s personal community, rather than to egos themselves. Our findings invite further empirical research on how alters’ motives affect the returns that people can reap from their personal networks in organizations.