An agenda for future research regarding the mental health of young people with care experience

Young people who are currently or were previously in state care have consistently been found to have much higher rates of mental health and neurodevelopmental difficulties than the general youth population. While a number of high-quality reviews highlight what research has been undertaken in relation to the mental health of young people with care experience and the gaps in our knowledge and understanding, there is, until now, no consensus, so far as we aware, as to where our collective research efforts should be directed with this important group. Through a series of UK wide workshops, we undertook a consultative process to identify an agreed research agenda between those with lived experience of being in care (n = 15), practitioners, policy makers and researchers (n = 59), for future research regarding the mental health of young people with care experience, including those who are neurodiverse/have a neurodevelopmental difficulty. This consensus statement identified 21 foci within four broad categories: how we conceptualize mental health; under-studied populations; under-studied topics; and underused methodologies. We hope that those who commission, fund and undertake research will engage in this discussion about the future agenda for research regarding the mental health of young people with care experience.     

Edge Estimation in the Population of a Binary Tree Using Node-Sampling

Suppose a finite population of several vertices, each connected to single or multiple edges. This constitutes a structure of graphical population of vertices and edges. As a special case, the graphical population like a binary tree having only two child vertices associated to parent vertex is taken into consideration. The entire binary tree is divided into two sub-graphs such as a group of left-nodes and a group of right-nodes. This paper takes into account a mixture of graph structured and population sampling theory together and presents a methodology for mean-edge-length estimation of left sub-graph using right edge sub-graph as an auxiliary source of information. A node-sampling procedure is developed for this purpose and a class of estimators is proposed containing several good estimators. Mathematical conditions for minimum bias and optimum mean squared error of the class are derived and theoretical results are numerically supported with a test of 99% confidence intervals. It is shown that suggested class has a sub-class of optimum estimators, and sample-based estimates are closer to the true value of the population parameter.     

Estimation of Bowley's Coefficient of Skewness in the Presence of Auxiliary Information

In this paper, we suggest regression-type estimators for estimating the Bowley's coefficient of skewness using auxiliary information. To the first degree of approximation, the bias and mean-squared error expressions of the regression-type estimators are obtained, and the regions under which these estimators are more efficient than the conventional estimator are also determined. Further, a general class of estimators of the Bowley's coefficient of skewness is defined along with its properties. A class of estimators based on estimated optimum values is also defined. It is shown to the first degree of approximations that the variance of the class of estimators based on estimated optimum values is the same as that of the minimum variance of the proposed class of estimators. A simulation study is carried out to demonstrate the performance of the proposed difference estimator over the usual estimator.     

An Efficient Class of Estimators for the Population Mean Using Auxiliary Information in Stratified Random Sampling

This article addresses the problem of estimating the population mean in stratified random sampling using the information of an auxiliary variable. A class of estimators for population mean is defined with its properties under large sample approximation. In particular, various classes of estimators are identified as particular member of the suggested class. It has been shown that the proposed class of estimators is better than usual unbiased estimator, usual combined ratio estimator, usual product estimator, usual regression estimator and Koyuncu and Kadilar (2009 Koyuncu, N., Kadilar, C. (2009). Ratio and product estimators in stratified random sampling. J. Statist. Plan. Infere. 139:2552–2558.[Crossref], [Web of Science ®] , [Google Scholar]) class of estimators. The results have been illustrated through an empirical study.     

Some estimation procedures of sensitive character using scrambled response techniques in successive sampling

This paper is an attempt to analyze the effect of scrambled response techniques to estimate the current population mean in two-occasion successive sampling when study and auxiliary variables are sensitive in nature. Using additive and multiplicative scrambled response models on both occasions, some generalized estimation strategies of current population mean have been proposed and their properties are examined. Empirical studies are performed on real data (abortion rate in the states of United States) and simulation studies are also carried out to evaluate the performances of the proposed estimators over other estimators. Results have proved the worthiness of the scrambled response techniques in real-life situations.     

Medication Abortion Within a Student Health Care Clinic: A Review of the First 46 Consecutive Cases

Abstract

Objective: Medication abortion with mifepristone and misoprostol has been available in the United States since 2000. The authors reviewed the first 46 medication abortion cases conducted at a university-based student health care clinic to determine the safety and feasibility of medication abortion in this type of clinical setting. Participants: Female patients presenting for medication abortion at a student health care clinic between October 1, 2006, and April 1, 2009. Methods: Retrospective consecutive case review. Results: Successful completion not requiring uterine aspiration occurred in 85% of the cases that were not lost to follow-up. Six cases (15%) required uterine aspiration for completion: 3 underwent uterine aspiration only; 3 had aspiration after failing an additional dose of misoprostol. Only 1 patient visited the emergency room. There were no hospitalizations. Conclusions: Medication abortion services in a student health care clinic are safe and feasible. However, additional treatment may be required with some patients.     

Methodological Considerations for Development of Research Support Systems

The article introduces the development of research support systems (RSS) as a special form of information systems (IS) development. Building on experiences from a concrete case several crucial differences between RSS development and development of conventional business support systems (BSS) are identified. So, development for RSS means less of mission and more of continues collaboration, less of producing and more of reciprocal learning and social change. It also involves an expanded universe of discourse that requires support more from an IS researcher and less of a conventional IS-developer. Further, there are issues of ethics and funding that makes RSS development extra challenging. All this represents a shift in focus away from How to do things, toward, What things to do. The article is closed with some tentative guidelines for RSS development. Those include preparing, learning, working arena, anticipatory acting, prototyping and stepwise improvement and scrutiny.     

Faculty in the Middle

This study was designed to explore how organizational life in university-affiliated graduate social work education programs in the United States is affected by the stress of heightened caregiving roles. Analysis of data from 69 schools demonstrated deleterious effects of caregiving stress on organizational effectiveness, including missed obligations, feeling overwhelmed, and distracting others by seeking social support for specific problems. The authors identify two variables that provided partial amelioration of caregiver stress and appeared to contribute to increased organizational effectiveness: larger faculty size and on-site child care.     

The impact of labor shortage on the employee commitment

ABSTRACT

The purpose of this article is to demonstrate the impact of the shortage of labor on individuals’ workplace attitudes, strangely their commitment. It is beneficial for organizations to develop their management strategies in view of employees’ loyalty attitudes. As a conceptual paper, the article contains a theoretical deduction. The characteristics of the labor market (macro level), the organizational needs and responses (meso level), and the set of the employees’ commitment (micro level) are linked to a theoretical process. According to our results, the average levels of the different dimensions of employee commitment will be changed in the future. The levels of continuance commitment and professional commitment will be higher, while the levels of deliberate commitment and affective commitment will be lower in the employee commitment profiles. By increasing continuance commitment and professional commitment, the toolkit of the HR strategy needs to be transformed to make it more relevant external motivation tools and training-development solutions. Meanwhile, it is important to note that the interactions among the employees will be less frequent and they will have less affection for their workplace. Labor shortage transforms individuals’ workplace attitudes. Understanding of employees’ decisions to maintain their organizational membership is supported by the relationships found in this research.