Peer Acceptance and Friendships of Students with Disabilities in General Education: The Role of Child,Peer, and Classroom Variables

To understand the difficulties students with disabilities experience in their social participation in general education, this study examined which child, peer, and class variables relate to peer acceptance and friendships. In a cross‐sectional study, sociometric data were gathered for students without disabilities (N = 985) and students with disabilities (N = 65), together with personal related variables of students with disabilities, attitudes of peers towards students with disabilities, and classroom information. Using separate social networks for both boys and girls, the findings of the logistic multilevel regression analyses showed different outcomes for peer acceptance of boys and girls with disabilities. The implications of the findings are discussed in the light of possible interventions to improve peer acceptance and friendships of students with disabilities in general primary education.     

Health-enhancing physical activity during practice among student football managers at a Division I university

Abstract

Objective: Student football managers have demands on their time that may pose barriers to meeting recommended current physical activity (PA) guidelines. The study sought to assess the amount of PA obtained by student football managers at a NCAA Division I Football university. Participants: Subjects were student football managers (n?=?14) with data collected in the fall 2015. Methods: Participants wore an Omron HJ-720ITFFP pedometer for seven consecutive days during football activities only, while self-reporting their overall PA on day 7. Measures were analyzed using repeated measures and mixed-design ANOVAs. Results: Managers averaged 8474 steps/day for each practice/game. All PA measures significantly varied by day and manager experience. Overall PA equated to 78?hours of walking. Conclusions: Student football managers easily met and surpassed the recommended aerobic health-enhancing PA guideline. While their manager-related PA was 140?minutes per week, other PA allowed them to easily reach significantly healthy levels of PA.     

An Empirical Bayes Approach to Estimating the Relation of Mortality to Exposure to Particulate Matter

As part of its assessment of the health risks associated with exposure to particulate matter (PM), the U.S. Environmental Protection Agency analyzed the risks associated with current levels, and the risk reductions that might be achieved by attainment of alternative PM standards, in two locations in the United States, Philadelphia, and Los Angeles. The concentration-response function describing the relation between a health endpoint and ambient PM concentrations is an important component, and a source of substantial uncertainty, in such risk analyses. In the absence of location-specific estimates, the concentration-response functions necessary for risk assessments in Philadelphia and Los Angeles must be inferred from the available information in other locations. Although the functional form of the concentration-response relations is assumed to be the same everywhere, the value of the PM coefficient in that function may vary from one location to another. Under this model, a distribution describes the probability that the PM coefficient in a randomly selected location will lie in any range of interest. An empirical Bayes estimation technique was used to improve the estimation of location-specific concentration-response functions relating mortality to short-term exposure to particles of aerodynamic diameter less than or equal to 2.5 microm (PM-2.5), for which functions have previously been estimated in several locations. The empirical Bayes-adjusted parameter values and their SEs were used to derive an estimate of the distribution of PM-2.5 coefficients for mortality associated with short-term exposures. From this distribution, distributions of relative risks corresponding to different specified changes in PM-2.5 concentrations could be derived.     

Elder abuse in nursing homes: an ecological perspective

Population trends suggest that the next 20 years will witness a dramatic increase in the adult population aged 65 and older. Projected increases in the elderly population are expected to significantly increase the stress on family and professional caretakers. Stress, in the context of caregiving relationships, is a risk factor associated with increased prevalence of elder abuse in familial and institutional settings. As increasing numbers of older adults are moved from family caregiving to nursing home care settings, it becomes important to identify the pattern of elder abuse risk factors in nursing home facilities. An ecological model is proposed for better understanding the risk factors associated with elder abuse in nursing homes and the complex interaction of individual/person characteristics and contextual factors in institutional elder abuse. An ecological perspective to institutional elder abuse provides a framework for guiding and informing future research on the risk factors of nursing home abuse and, in turn, for the development of effective interventions and relevant social policies.     

Family Resources,Gender, and Immigration: Changing Sources of Hong Kong Educational Inequality, 1971–2001*

Objective. This study gauged the impact of government‐led educational expansion on Hong Kong's social stratification over a 30‐year period. The historically close state control over school supply in Hong Kong allows us to test the effectiveness of public policy in changing the transmission of advantages across generations. Methods. I analyzed household‐level census data from 1971, 1981, 1991, and 2001. Interviews and documents were also used to illuminate reasons for trends during this period. Results. There was a diminishing role of family resources and gender on access to all levels of schooling until 1991. From 1991 through 2001, however, there was a reversal of this trend at the postsecondary level, as access to university education became more dependent on family resources. In addition, new immigrants from mainland China were at an increased disadvantage. Conclusions. Hong Kong's current plan to create a second tier of self‐supporting postsecondary institutions will exacerbate the tendency toward unequal university access, and is also likely to segregate new arrivals from mainland China.     

The public affairs function in American corporations: Development and relations with corporate planning

The increase of social and political turbulence has led to the development of new organizational response mechanisms. Public affairs units are among the most widely adopted forms in U.S. companies. This paper reports findings from a major research study of the public affairs function in American corporations. Analysis of the public affairs function in several hundred firms strongly suggests that a critical stage in the organization's response to environmental change involves the integration of the corporate planning and public affairs perspective. This paper reviews data from the study and discusses the planning/public affairs relationship in terms of survey and case research data.     

A Capture–Recapture Approach to Estimation of Refugee Populations

The debate over immigration continues to be one of the most politically charged policy issues in the United States (US). Given the charged nature of this topic, it is vitally important to have reliable data on not only the number of US foreign nationals but also the characteristics of this extremely heterogeneous group – a population comprised not only of immigrants but also of refugees. There exist a small number of data sources for informing policy and practice at the national level. However, such data are often lacking for smaller geographical areas. This paper describes a recent effort to generate serviceable data on the immigrant and refugee population for a medium‐sized metropolitan area in the US. The objectives of this research were twofold. Our first goal was to provide local stakeholders with information to assist them with resettling and obtaining funding for immigrants and refugees. The second aim was to develop better techniques for tabulating diverse refugees and immigrants in a medium‐sized community. By comparing and contrasting three data sources – that is, refugee services, public schools and a local health plan – we are able to generate estimates of the local refugee and immigrant population. During the period from 2005 to 2007, we estimate the total number of immigrants and refugees in the community to be somewhere between 10,938 and 13,282. Although perhaps a bit on the high end due to methodological assumptions, these estimates seem plausible, based on previously cited figures for the region. While such estimates are valuable, a number of shortcomings related to the data prevent us from painting a more complete picture of these populations. We conclude this paper with a number of recommendations that will assist others in planning research designed to inform migration policy and practice in medium‐sized metropolitan areas.     

A Quantal Choice Model for the Detection of Copying on Multiple Choice Examinations

It is difficult to devise a statistical test to detect one student copying from another. Many prior efforts falsely accuse students of cheating. A general methodology based on the quantal choice model of decision theory overcomes these problems. Three steps are involved: (1) for each item estimate the probability and the variance that a given respondent will select each response, (2) for pairs of respondents, these probabilities determine the expected number of matches, and (3) compare the critical value to the number of items matched. Methods differ based on the probability estimation technique. Four methods (simple frequencies, Frary, Tideman, and Watts modification [8], logit, and multinomial probit) are compared on theoretical and empirical grounds. Theory and results show that it is crucial to incorporate the variance of the probability estimates. The probit model has theoretical advantages over the other methods and produces more accurate results.     

A cloud-based spatial-temporal inventory for sustainable urban soil management

Spatial and temporal databases that integrate urban tree inventories and soil quality information are needed for modern-day sustainable urban forest management. The objective of this study was to demonstrate the usefulness of low-cost and widely-available technology, such as global positioning system (GPS)–enabled cameras to photo-document sites and cloud-based products and services (Google Picasa and Fusion Tables), to aid in developing sustainable street tree management programs. Google Fusion Tables provide a cloud platform to store, share and map urban tree and soil data over time using internet connected computers, tablets or mobile devices. Although indicators of urban soil quality and best methods to assess it are not yet standardized, we demonstrate here promising indicators that are both useful and easy to incorporate into spatial and temporal databases of trees managed in urban environments. By utilizing technology, we demonstrate that site-specific urban soil quality indicators can be used together with readily-available soil rating systems specific to different plant types as a means to better evaluate and manage conditions for optimal street tree growth and health.