Estimating the variance for heterogeneity in arm‐based network meta‐analysis

Network meta‐analysis can be implemented by using arm‐based or contrast‐based models. Here we focus on arm‐based models and fit them using generalized linear mixed model procedures. Full maximum likelihood (ML) estimation leads to biased trial‐by‐treatment interaction variance estimates for heterogeneity. Thus, our objective is to investigate alternative approaches to variance estimation that reduce bias compared with full ML. Specifically, we use penalized quasi‐likelihood/pseudo‐likelihood and hierarchical (h) likelihood approaches. In addition, we consider a novel model modification that yields estimators akin to the residual maximum likelihood estimator for linear mixed models. The proposed methods are compared by simulation, and 2 real datasets are used for illustration. Simulations show that penalized quasi‐likelihood/pseudo‐likelihood and h‐likelihood reduce bias and yield satisfactory coverage rates. Sum‐to‐zero restriction and baseline contrasts for random trial‐by‐treatment interaction effects, as well as a residual ML‐like adjustment, also reduce bias compared with an unconstrained model when ML is used, but coverage rates are not quite as good. Penalized quasi‐likelihood/pseudo‐likelihood and h‐likelihood are therefore recommended.     

The importance of knowing the affective meaning of job demands revisited

This paper starts with the assumption that when people are asked to describe the level of demands they face at work, it cannot be assumed that those demands are necessarily stressful, even if they are rated as strong or high demands. Thirty demand questions were designed for use with a sample of 2,253 public sector employees in Western Australia. As well as rating frequency of demand the respondents were asked to rate their level of dissatisfaction with the demand. For only 16 of the demands was there a correlation high enough to assume that the demand might be a stressor. Having demonstrated this, the rest of the paper compares different ways of combining the two scores to predict the level of psychological distress as measured by the General Health Questionnaire (GHQ12). The results support the claim in the title, that it is important to know the affective meaning of job demands.     

TWENTY YEARS AND STILL IN THE DARK? CONTENT ANALYSIS OF ARTICLES PERTAINING TO GAY,LESBIAN, AND BISEXUAL ISSUES IN MARRIAGE AND FAMILY THERAPY JOURNALS

To what extent do marriage and family therapy journals address gay, lesbian, and bisexual issues and how does this coverage compare to allied fields? To answer these questions, a content analysis was conducted on articles published in the marriage and family therapy literature from 1975 to 1995. Of the 13,217 articles examined in 17 journals, only 77 (.006%) focused on gay, lesbian, and/or bisexual issues or used sexual orientation as a variable. Findings support the contention that gay, lesbian, and bisexual issues are ignored by marriage and family therapy researchers and scholars.     

Selection criteria for the construction of efficient diagnostic keys

A diagnostic key defines a hierarchial sequence of tests used to identify a specimen from a set of known taxa. The usual measure of the efficiency of a key, the expected number of tests per identification, may not be appropriate when the responses to tests are not known for all taxon/test pairs. An alternative measure is derived and it is shown that the test selected for use at each point in the sequence should depend on which measure is used. Two suggestions of Gower and Payne (1975), regarding test selection, are shown to be appropriate only to the new measure. Tests are usually selected by calculating the value of some selection criterion function. Functions are reviewed for use in each of the two situations, and new functions are derived. The functions discussed are shown to be interpretable in terms of the number of tests required to complete the key from the current point in the sequence, given that a particular test is selected. This interpretation enables the functions to be extended to select tests with different costs and allows recommendations to be made as to which function to use, depending on how many ‘good’ tests are available.     

Bridging refugee youth and children's services: a case study of cross-service training

Bridging Refugee Youth and Children's Services(BRYCS), a public-private partnership between the federal Office of Refugee Resettlement, Lutheran Immigration and Refugee Service, and the United States Conference of Catholic Bishops, provides national technical assistance to public child welfare. After a series of "community conversations," BRYCS identified a lack of knowledge among child welfare staff about newcomer refugees, negative stereotypes, and a fear of child protective services among refugees. BRYCS initiated a number of technical assistance initiatives, including a pilot cross-service training project in St. Louis to strengthen collaboration between child welfare and refugee-serving agencies. This article details the lessons learned from this training and recommends changes in policy and practice.     

Young Children's Everyday Civics

Civic education for our youngest citizens faces two challenges if we want to imagine new possibilities. First, the field of social studies uses frames of analyzing citizenship education based on studies of older students. Second, predetermined adult ideas (and ideals) of what it means to act civically dominate our conceptions of civic education for young children. Drawing on data from a yearlong multivocal video-cued ethnography, this article argues that social studies needs to focus on the everyday, embodied ways that young children act civically. Using a vignette from a typical day, this article illustrates how young children's everyday relationships and interactions highlight a different vision of being civic—a more caring and relational idea of the common good. When we recognize young children's construction of a common good in their smaller, yet no less important, civic spaces of school, we can expand our notions of civic education.     

The Demography of Mental Health Among Mature Adults in a Low-Income,High-HIV-Prevalence Context

Very few studies have investigated mental health in sub-Saharan Africa (SSA). Using data from Malawi, this article provides a first picture of the demography of depression and anxiety (DA) among mature adults (aged 45 or older) in a low-income country with high HIV prevalence. DA are more frequent among women than men, and individuals affected by one are often affected by the other. DA are associated with adverse outcomes, such as poorer nutrition intake and reduced work efforts. DA also increase substantially with age, and mature adults can expect to spend a substantial fraction of their remaining lifetime—for instance, 52 % for a 55-year-old woman—affected by DA. The positive age gradients of DA are not due to cohort effects, and they are in sharp contrast to the age pattern of mental health that has been shown in high-income contexts, where older individuals often experience lower levels of DA. Although socioeconomic and risk- or uncertainty-related stressors are strongly associated with DA, they do not explain the positive age gradients and gender gap in DA. Stressors related to physical health, however, do. Hence, our analyses suggest that the general decline of physical health with age is the key driver of the rise of DA with age in this low-income SSA context.