After the Honeymoon: The Evolution of Problem Issues in Utah LDS Marriages

The main objective of this study was to extend previous research in the area of longitudinal marital satisfaction by examining how marital issues, including decision-making, activities, affection, conflict, financial matters, stability, and values, changed over the first 5 years of marriage for 242 Utah, Latter-Day-Saint individuals. In addition, this study examined whether change occurs differently for husbands versus wives and for at-risk individuals versus non-risk individuals. The results showed that four marital issues worsened over time (activities, affection, conflict, and stability). Two of the six subscales (activities and affection) were found to differ significantly by gender. In addition, four subscales were significantly different for at-risk couples when compared with non-risk couples (decision-making, activities, conflict, and stability). Limitations and recommendations are discussed.     

Motivating Social Work Students in Statistics Courses

Statistical literacy provides an advantage to social work practitioners in promoting client interests. The social work literature has provided some suggestions for improving instruction in statistics courses, but the goal of motivating students in statistics courses has remained elusive. The ARCS model (Attention, Relevance, Confidence, and Satisfaction) is a model for instructional design developed to enhance learner motivation. The ARCS model can be utilized to increase interest in, and learning of, any social work course content. This article applies the ARCS model to social work statistics courses, integrating current literature, providing concrete examples, and illustrating how learner motivation can be enhanced to improve social work education.     

RELIGIOSITY,MORAL BELIEFS,AND DELINQUENCY: DOES THE EFFECT OF RELIGIOSITY ON DELINQUENCY DEPEND ON MORAL BELIEFS?

Does the effect of religiosity on delinquent behavior depend on moral beliefs? For example, will religious adolescents refrain from using marijuana, even if they do not believe using marijuana is wrong? We addressed this question using data from the third and fourth waves of the National Youth Survey. The results indicated a significant interaction between religiosity and moral beliefs for marijuana use and getting drunk, but not for hitting or property offenses. Religiosity has a stronger effect on marijuana and alcohol use when adolescents also believe these behaviors are wrong. Conversely, when it is not accompanied by strong moral beliefs, religiosity has less of an effect on marijuana use and drinking.     

Understanding public support for punitive criminal sanctions: Psychological and sociological views of the “outlier” phenomenon

The present study compares the ability of selected psychological and sociological factors to predict the level of punitive criminal sanction supported by a community's residents. Personality characteristics, particularly those developed in the pioneering work of Adorno on authoritarianism, represented psychological influences; sociological views on punitive sanctions were drawn from the Durkheimian tradition of social condemnation, in which group norms are established by the general level of consensus about the perceived threat of a particular criminal act, or crime seriousness. Little support was found for the link between authoritarianism and specific sanctioning endorsements. The sociological concept of normative outliers, on the other hand, proved to be the much more useful construct.     

Improving utilisation of Māori land: Challenges and successes in the application of a participatory approach

Abstract

The limited impact of traditional extension techniques has resulted in the increasing use of participatory approaches to support interaction between Māori communities and scientists. This paper draws on the experience of a 5 year case study of such an approach among scientists and Māori on the East Cape. While supporting the value of a participatory approach, the paper argues that the adoption and use of such an approach must be viewed as an iterative process and one that challenges all participants, not only on operational detail, but on the ethical issues posed by such work. This paper highlights the value of a collaborative approach but questions the appropriateness of branding all such approaches as participatory research when used to support national policy initiatives. It concludes that participatory approaches challenge the scientists involved as much as the communities concerned and questions the validity of conventional measures of success in any evaluation of such work.     

Estimation of Covariate Effects With Current Status Data and Differential Mortality

The assessment of the impact that socioeconomic determinants have on the prevalence of certain chronic conditions reported by respondents in population surveys must confront two problems. First, the self-reports could be in error (false positives and false negatives). Second, those reporting are a selected sample of those who ever experience the problem, and this selection is heavily influenced by excess mortality attributable to the condition being reported. In this article, we use a combination of empirical data and microsimulation to (a) assess the magnitude of the bias attributable to the selection problem, and (b) suggest an adjustment procedure that corrects for this bias. We find that the proposed adjustment procedure considerably reduces the bias arising from differential mortality.     

Some social characteristics of Indian immigrants to British Guiana

An analysis of the characteristics of a sample of East Indian indentured immigrants who entered British Guiana between 1865 and 1917 shows that the age, sex and caste characteristics of the immigrants are similar to those of East Indian migrants to other British colonies such as Fiji. The majority of the immigrants were Hindus belonging to the agricultural castes and on the basis of an analysis of recorded places of birth it is shown that approximately 85% of all immigrants originated in the United Provinces and Bihar.     

BRASS' RELATIONAL MODEL: A STATISTICAL ANALYSIS

Brass' relational model is based on a linear relationship between the logits of the cumulative probability of dying before age x in a standard mortality distribution and those observed in any population. In this study the appropriate way to estimate the linear parameters associated with Brass' model is clarified. Five methods are presented to estimate the coefficients associated with Brass' relational model. Each method is applied to simulated data to examine the efficiencies of each model in mortality estimation.