High-end immigrants and the shortage of skilled labor

Population Research and Policy Review -     

Student Debates in Policy Courses

This article examines the use of student debates to promote substantive knowledge and policy practice skills. The authors present a pedagogical rationale for student debates, describe the incorporation of debates into a child welfare policy course, and report the results of an evaluation. Students demonstrated significantly greater increases in self-reported knowledge of course topics when they participated in debates than when they observed debates or learned through standard forms of instruction. The majority of students reported satisfaction with the debates, reported that participation improved their policy skills and knowledge, and rated the educational value of debates higher than traditional assignments.     

Estimating the goodman,keyfitz, pullum kinship equations: An alternative procedure∗

As is often the case in demography, Goodman, Keyfitz and Pullum (1974) developed their theory of the interrelationships of fertility, mortality and kinship numbers by means of continuous mathematics [integrals], but resorted to ad hoc finite approximations for calculating results in concrete empirical cases. Their reason: ‘Ordinarily, we cannot evaluate the l(x) and m(x) functions for arbitrary values of x, since the data are usually collected for five‐year age intervals’ [p. 24]. Recent developments in computer software now provide an alternative, two‐step procedure that avoids extensive programming of finite approximation algorithms: 1) using a popular scientific curve‐fitting package, functions are found to represent particular sets of discrete data on fertility and mortality, 2) the resulting functions and parameter estimates are then inserted directly into the kinship equations, and the integrals evaluated numerically using readily available mathematics software. This procedure has potentially wide application in other areas of population mathematics where theory is given by integrals and other continuous expressions, but data are for discrete age groups.     

The Social Construction of Reality in the Realm of Children's Mental Health Services

ABSTRACT

Across the United States, systems of care have emerged to provide mental health care to children and their families; fragmentation inhibiting the success of collaboration by stakeholders is common and compromises these systems of care. Survey data were collected from 1,428 respondents in a Midwestern state to examine problems that exist within systems of care from the perspective of the different stakeholder groups. Stakeholder group membership was based upon the respondent's employment or involvement within various child-serving systems and included those in child welfare, juvenile justice, and education, mental health providers, and consumers (i.e., caregivers/parents). Group differences revealed patterns of “finger pointing” by the stakeholder groups on where specific problems exist within systems of care. The findings provide insight into how the social construction of service delivery and practice emerges as stakeholder groups describe, understand, and evaluate problems within the system of care as a function of their own practice location within the system of care. Future research should consider exploring methods that might minimize the competitive nature of disparate child-serving systems and its potentially negative impact upon system performance and treatment outcomes.     

Multiplicity: discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group

In May 2012, the Committee of Health and Medicinal Products issued a concept paper on the need to review the points to consider document on multiplicity issues in clinical trials. In preparation for the release of the updated guidance document, Statisticians in the Pharmaceutical Industry held a one‐day expert group meeting in January 2013. Topics debated included multiplicity and the drug development process, the usefulness and limitations of newly developed strategies to deal with multiplicity, multiplicity issues arising from interim decisions and multiregional development, and the need for simultaneous confidence intervals (CIs) corresponding to multiple test procedures. A clear message from the meeting was that multiplicity adjustments need to be considered when the intention is to make a formal statement about efficacy or safety based on hypothesis tests. Statisticians have a key role when designing studies to assess what adjustment really means in the context of the research being conducted. More thought during the planning phase needs to be given to multiplicity adjustments for secondary endpoints given these are increasing in importance in differentiating products in the market place. No consensus was reached on the role of simultaneous CIs in the context of superiority trials. It was argued that unadjusted intervals should be employed as the primary purpose of the intervals is estimation, while the purpose of hypothesis testing is to formally establish an effect. The opposing view was that CIs should correspond to the test decision whenever possible. Copyright © 2013 John Wiley & Sons, Ltd.