The Impact of Language Status as an Acculturative Stressor on Internalizing and Externalizing Behaviors among Latino/a Children: A Longitudinal Analysis from School Entry through Third Grade

This study examined the relationship between limited English proficiency status, and internalizing and externalizing behaviors among a sample of Latino/a children (N = 2,840) from the US Department of Education’s Early Childhood Longitudinal Study, Kindergarten (ECLS-K) data set. Results of cross sectional regression and hierarchical linear modeling (HLM) analyses suggest that there is a positive relationship between limited English proficiency and externalizing symptoms, particularly by third grade. Additionally, sex and place of birth also helped to explain externalizing behaviors at various time points in the models. Place of birth and family poverty were significantly associated with internalizing symptoms. Implications for future research and interventions related to internalizing and externalizing behavior among the Latino/a school aged population are discussed.

Mt. Laurel: A Major Transition in American Planning Law

American land use law in the late 1960's and early 1970's has been in a period of major and fundamental transition. It has seen a change in the basic policy of the law on one of its most important points as concerns exclusionary zoning, i.e., the attitude towards the three principal parties in interest in land use litigation-developer, neighbor, and excluded party. This entire change has been initiated not by the legislatures, but by the courts. The net result of this transition has been to strengthen the government's ability to impose (under the police power) certain types of regulations, primarily environmental in nature—while at the same time drastically reducing the power to impose regulations deemed exclusionary.     

Children’s attitudes towards animal cruelty: Exploration of predictors and socio-demographic variations

ABSTRACT

Assessing the risk for animal cruelty is imperative, yet understudied and problematic due to the sensitivity of the topic. Early prevention is critical, yet very little research examines cruelty when it first appears in childhood. The aim of this study was to explore children’s attitudes towards types of animal cruelty, to investigate potential demographic differences, and to examine potential associations between acceptance of cruelty and cognitive and affective factors that place children ‘at-risk’ for cruelty perpetration. Questionnaire data was collected from 1127 children in schools. The results indicate that cruelty attitudes are predicted by some demographic variables such as urban living, being male, younger age and not having pets, but depend on the type of animal cruelty. Acceptance of cruelty predicted low compassion and low reported humane behaviour towards animals. Acceptance of cruelty was predicted by negative attitudes towards animals, lower beliefs in animal minds and low attachment to pets, signifying the importance of targeting such variables in future prevention programmes. This study is an original contribution to research into childhood animal cruelty in the general population, with implications for designing and implementing early prevention programmes that tackle problematic attitudes to cruelty.     

Mapping the landscape of international technology diffusion (1994–2017): network analysis of transnational patents

The Journal of Technology Transfer - Global economic integration is driving countries and companies to increasingly pursue internationalized innovation activities. During this process,...     

Public capital stock and interstate variations in manufacturing efficiency

This study focuses on the role of public capital stock in contributing to interstate differences in productive efficiency in manufacturing. Our motivation is to assess the role of public capital as a source of persistent regional variations in efficiency, and thus determine if public infrastructure policies might reasonably be expected to alter the competitive environment of a state's manufacturing sector. We use a stochastic frontier production function model, explicitly incorporating infrastructure capital, to examine the relative performance of the aggregate manufacturing sector across states and over time. We calculate an index of productive efficiency and estimate the determinants of statewide variations in it. These results show that variations in per capita infrastructure stocks significantly affect manufacturing efficiency. Considering the behavior of public capital as both a direct and an indirect input furthers our understanding of the role of infrastructure and its implications for regional economic development policies.