A Study of An Alternative School for Pregnant and/or Parenting Teens: Quantitative and Qualitative Evidence

In response to multiple problems faced by pregnant and parenting teens, many alternative school-based comprehensive programs have been established throughout the United States. By collecting data from a sample of enrollees of such a school-based comprehensive program and comparing them with data collected from a sample of non-enrollees, the present study systematically evaluates the program. The results of the study seem to suggest that the program participants were more likely to have higher educational aspiration, better reproductive health outcomes, higher contraceptive use, and more breast-feeding practice and intention than those of their non-participating counterparts. The implications of the study findings for comprehensive school-based program for pregnant and/or parenting teens are discussed.Ruhul Amin is a Senior Fellow at the Center for Health Disparities Solutions and Senior Research Scientist in the Institute for Urban Research, Morgan State University, Baltimore, MD 21239. Dorothy C. Browne is the Director of the Institute for Urban Research, Jamir Ahmed is a research assistant at the Center for Health Disparities Solutions and Takanori Sato is research assistants at the Institute for Urban Research, Morgan State University, Baltimore, MD 21239.     

SHORT REVIEWS

Books reviewed in this article: Andrew Geddes, Immigration and European Integration: Towards Fortress Europe? Urs Luterbacher and Detlef F. Sprinz (Eds.), International Relations and Global Climate Change Carla Makhlouf Obermeyer (Ed.), Cultural Perspectives on Reproductive Health Per Pinstrup‐Andersen and Rajul Pandya‐Lorch (Eds.), The Unfinished Agenda: Perspectives on Overcoming Hunger, Poverty, and Environmental Degradation Anisur Rahman, Indian Labour Migration to the Gulf Minna Säävälä, Fertility and Familial Power Relations: Procreation in South India United Nations, Department of Economic and Social Affairs, Report on the World Social Situation 2001     

Education,wage work,and marriage: Perspectives of Egyptian working women

We explore young working women's perceptions of marriage and work in contemporary Egypt, when an increase in age at marriage was evident from national survey data. Both working conditions and employment opportunities declined significantly for young women even as their educational attainment increased and marriage was delayed. In‐depth interviews were conducted over a 2‐year period between 1998 and 2000 with 27 young women between the ages of 15 and 29 who were from relatively poor families and working in a range of salaried jobs in three locations. The qualitative data indicate that young women have high expectations in terms of marital living standards. They seek to achieve this in part by saving intensively before marriage when they work, and otherwise by ensuring substantial monetary support from their families. We conclude that rising material aspirations and family nucleation rather than change in female labor force participation drive marriage change in contemporary Egypt. The driving force behind this conclusion is that there is a reinforcement of the traditional values associated with the institution of marriage rather than its erosion.     

Estimation of multivariate frailty models with varying coefficients

The complicated structures can be modeled more efficiently and their flexibility can be increased through frailty models with varying coefficients.Therefore, such models are proposed in this article. The real challenge is to estimate varying coefficients by the penalized partial likelihood without closed form. The Laplace approximation is used to solve this problem. These varying coefficients are fitted using B-splines. Moreover, the variances of random effects are estimated by maximizing an approximate profile likelihood. The performance of the proposed methods are assessed with simulation studies and real data. The results show that the methods proposed are better than the counterpart in literature.     

Components of landscape pattern and urban biodiversity in an era of climate change: a global survey of expert knowledge

There is sufficient evidence to show that both humans and fauna are profoundly affected by landscape pattern composition and configuration in relation to adaptation to climate change impacts in urban landscapes. Despite this, global-scale research that ranks which components of landscape pattern play the most pivotal roles in this process is absent. Also lacking is in-depth examination of the potential areas of conflict between biodiversity conservation targets and those that pertain to human dimensions of climate change adaptation goals in relation to landscape patterns. The research aim was to determine how to identify, rank, and weight the most important components of landscape pattern affecting urban biodiversity in the changing climate and how to address areas of conflict between biodiversity conservation and human dimensions of climate change adaptation goals in terms of the spatial patterning of land cover classes distributed across urban landscapes. To do this, a global survey of 87 participants from 69 academic centres involved in at least 325 research projects between 2000 and 2017 was conducted. Of the eight components of landscape pattern identified and ranked by participants worldwide, the three most important components are respectively patch size, connectivity and proximity, and land cover heterogeneity. This research reveals that opinions of participants with experience in conducting research in the Southern Hemisphere in general and Oceania in particular influence this ranking. While a range of recommendations from specialists have been gathered and weighted, there is still much more research required to address areas of conflict between what fauna and humans need in the face of climate change.     

A double exponentially weigiited moving average control procedure with variable sampling intervals

Shewhart, cumulative sum (CUSUM), and exponentially weighted moving average (EWMA) control procedures with variable sampling intervals (VSI) have been investigated in recent years for detecting shifts in the process mean. Such procedures have been shown to be more efficient when compared with the corresponding fixed sampling interval (FSI) charts with respect to the average time to signal (ATS) when the average run length (ARL) values of both types of procedures are held equal. Frequent switching between the different sampling intervals can be a complicating factor in the application of control charts with variable sampling intervals. In this article, we propose using a double exponentially weighted moving average control procedure with variable sampling intervals (VSI-DEWMA) for detecting shifts in the process mean. It is shown that the proposed VSI-DEWMA control procedure is more efficient when compared with the corresponding fixed sampling interval FSI-DEWMA chart with respect to the average time to signal (ATS) when the average run length (ARL) values of both types of procedures are held equal. It is also shown that the VSI-DEWMA procedure reduces the average number of switches between the sampling intervals and has similar ATS properties as compared to the VSI-EMTMA control procedure     

Bayesian modelling of health insurance losses

The purpose of this paper is to build a model for aggregate losses which constitutes a crucial step in evaluating premiums for health insurance systems. It aims at obtaining the predictive distribution of the aggregate loss within each age class of insured persons over the time horizon involved in planning employing the Bayesian methodology. The model proposed using the Bayesian approach is a generalization of the collective risk model, a commonly used model for analysing risk of an insurance system. Aggregate loss prediction is based on past information on size of loss, number of losses and size of population at risk. In modelling the frequency and severity of losses, the number of losses is assumed to follow a negative binomial distribution, individual loss sizes are independent and identically distributed exponential random variables, while the number of insured persons in a finite number of possible age groups is assumed to follow the multinomial distribution. Prediction of aggregate losses is based on the Gibbs sampling algorithm which incorporates the missing data approach.     

Improved switching rules in control procedures using variable sampling intervals

Some properties of control procedures with variable sampling intervals (VSI) have been investigated in recent years by Amin, Renolds et al, and others. Such procedures have been shown to be more efficient when compared to the corresponding fixed sampling interval (FSI) charts with respect to the Average Time to Signal (ATS) when the Average Run Length (ARL) values for both types of procedures are held equal. Frequent switching between the different sampling intervals can be a complicating factor in the application of control charts with variable sampling intervals (VSI). This problem is being addressed in this article, and improved switching rules are presented and evaluated for Shewhart, CUSUM, and EWMA control procedures. The proposed rules considerably reduce the average number of switches between the sampling intervals and also improve the ATS properties of the control procedures when compared to the conventional variable sampling interval procedures