Disability, Religion and Health: a literature review in search of the spiritual dimensions of disability

Religious belief and practice plays an important role in the lives of millions of people worldwide, and yet little is known of the spiritual lives of people with a disability. This review explores the realm of disability, religion and health, and draws together literature from a variety of sources to illustrate the diversity of the sparse research in the field. An historical, cross-cultural and religious textual overview of attitudes toward disability throughout the centuries is presented. Studies in religious orientation, health and well-being are reviewed, highlighting the potential of religion to effect the lives of people with a disability, their families and caregivers. Finally, the spiritual dimensions of disability are explored to gain some understanding of the spiritual lives and existential challenges of people with a disability, and a discussion ensues on the importance of further research into this new field of endeavour.     

Model-based clustering for social networks

Summary.  Network models are widely used to represent relations between interacting units or actors. Network data often exhibit transitivity, meaning that two actors that have ties to a third actor are more likely to be tied than actors that do not, homophily by attributes of the actors or dyads, and clustering. Interest often focuses on finding clusters of actors or ties, and the number of groups in the data is typically unknown. We propose a new model, the latent position cluster model , under which the probability of a tie between two actors depends on the distance between them in an unobserved Euclidean 'social space', and the actors' locations in the latent social space arise from a mixture of distributions, each corresponding to a cluster. We propose two estimation methods: a two-stage maximum likelihood method and a fully Bayesian method that uses Markov chain Monte Carlo sampling. The former is quicker and simpler, but the latter performs better. We also propose a Bayesian way of determining the number of clusters that are present by using approximate conditional Bayes factors. Our model represents transitivity, homophily by attributes and clustering simultaneously and does not require the number of clusters to be known. The model makes it easy to simulate realistic networks with clustering, which are potentially useful as inputs to models of more complex systems of which the network is part, such as epidemic models of infectious disease. We apply the model to two networks of social relations. A free software package in the R statistical language, latentnet, is available to analyse data by using the model.     

SOURCES OF INFLUENCE AND TOPIC AREAS IN FAMILY THERAPY: TRENDS IN THREE MAJOR JOURNALS

Following Gurman (1981), this study reports on authors and topics of interest in prominent marriage and family therapy journals from 1980 through 1995. Fifteen of the 25 institutions that produced the greatest number of authors prior to 1978 continued to be among the top 25 between 1980 and 1995, and the 25 leading institutions produced 29.5% of articles from 1980 to 1995. Most authors held positions in university settings and taught in programs with a marriage and family therapy focus. Clinical issues were the most common focus of articles (61%), and one-third of all articles were research reports.     

On Robust Analysis of a Normal Location Parameter

Pericchi and Smith considered a normal location parameter problem with double-exponential and Student t prior distributions. These two prior distributions both belong to the class of scale mixtures of normal distributions and are useful in providing a robust analysis of the normal location parameter problem. In this paper we extend the analysis to other scale mixtures of normal distributions, such as the exponential power and the symmetric stable distributions.     

Explaining the causes of poverty in the West Indies: A cross-cultural comparison

Research into attitudes towards the poor and lay explanations for poverty have heen primarily concerned with the structure and determinants of these attitudes and explanations. Whereas a number of variables — education, religion, ethnic group — have been shown to relate to explanations for poverty, there have only been a few cross-cultural studies. This study set out to compare the explanations adolescents gave for poverty in two West Indian islands — the relatively wealthy island of Barbados and the relatively poor island of Dominica. The overall economic development/prosperity of the two islands, and the extent and visibility of economic inequality between the two islands appeared to account for the numerous national differences. These results are discussed in terms of the social, political and historical differences between the two islands.     

Political Orientations and Naturalization Among Latino and Latina Immigrants*

Objective. This study adds to our knowledge of the naturalization process by considering the impact of political orientations in shaping the pursuit of U.S. citizenship among contemporary Latino and Latina immigrants. Methods. We draw on data from the 1999 Harvard/Kaiser/Washington Post “Latino Political Survey” and use ordered logistic regression analyses to test the effects of political orientations on immigrant naturalization. Results. Political orientations exert a powerful influence on naturalization beyond the traditional sociodemographic determinants. Furthermore, the impact of political orientations on naturalization varies by gender. Conclusions. Naturalization can be induced by stressing the importance of voting and being interested in politics. In addition, Latinas are more likely to pursue naturalization than Latinos and the factors driving their decisions systematically differ from those of their male counterparts.     

Saving Open Spaces: Determinants of 1998 and 1999 "Antisprawl" Ballot Measures

Objective. Although such measures received media attention as indicative of a nationwide rebellion against sprawl, determinants of the appearance and success of 1998 and 1999 open-space preservation ballot measures have not been investigated. We suspect that, contrary to assumptions, these are not triggered by sprawled development and represent a response limited to small, wealthy communities. Methods. The influence of population density, total population, percentage of Anglos, and median income on these initiatives is estimated through regression. Results. Low population density is not the trigger for the appearance and passage of these measures; however, demographic factors determinant of limits on growth in general do exhibit significant influence. Conclusions. The 1998 and 1999 open-space measures are better explained by the broad "growth machine" approach than they are by popular assumptions of what prompted these policies. In short, the existence of sprawl lacks a positive empirical link to its putative solution.     

The Cost of High Unemployment

In response to R. A. B. Leaper's challenge in the last issue of this journal we present a report which we have just prepared for the BBC North-East. We believe that a better understanding of the costs of high unemployment to the country is needed to inform decisions on how much we can afford to pay to tackle the problem. In the final section of the paper we show how this evidence can be of value in costing policy options.
The last detailed costings of unemployment were published in 1982 for the financial year 1981/82. In February 1982 it appears that a political decision was taken not to publish the latest Treasury estimate updating their 1981 calculations. Since then numerous parliamentary questions on the subject have received very limited answers disputing the validity of the whole exercise.