Love and Hooking Up in the New Millennium: Communication Technology and Relationships among Urban African American and Puerto Rican Young Adults

Communication technology is a central feature of young people's lives, but its role in romantic and sexual relationships has not been thoroughly examined. This article describes how young adults use communication technology for partnering across relationship stages (formation, maintenance, and dissolution) and types (serious/casual), and proposes implications of usage in relationships. This study analyzed qualitative data from a five-week, prospective, coital diary method with related debriefing interviews (N = 70) of African American and Puerto Rican men and women aged 18 to 25 years in Hartford and Philadelphia. Cell phones, including calls, text messaging, and mobile Internet, were the most common forms of communication technology used for partnering goals. Participants reported using cell phones to pursue partnering goals across all relationship stages, including formation (meeting, screening, and getting to know new partners), maintaining existing relationships, and breaking up. Cell phone uses depended on the type of relationship (serious/casual) and the participants' intentions and desires. Results indicated that cell phones are an important element of communication among young adults in romantic and sexual relationships. Specific features of cell phone communication shape the process and context of partnering. Future research should explore emerging communication technologies and implications for psychosocial development, dating violence, and sexual behavior.     

Measuring Marital Satisfaction: A Comparison of the Revised Dyadic Adjustment Scale and the Satisfaction with Married Life Scale

Marital satisfaction has been psychometrically measured using many different instruments not soundly based on theory. The Revised Dyadic Adjustment Scale (RDAS), consisting of 14 items, is commonly accepted by researchers and practitioners to measure marital satisfaction but was not specifically designed to measure marital satisfaction. The Satisfaction with Married Life Scale (SWML), consisting of five items, is a short scale specifically targeted toward measuring marital satisfaction. An online sample collected from 1,187 couples throughout the United States was used to compare these instruments' correlation (r = .782), factor structures, reliability (SWML, α = .958; RDAS, α = .943), theoretical foundation, and validity. These instruments are on parity with each other when measuring marital satisfaction; however, each instrument yields implications for practitioners and researchers desiring to measure marital satisfaction.     

Fast retraction of evidence in a probabilistic expert system

We present and justify a propagation algorithm to facilitate the simultaneous calculation, for every node in a probabilistic exper system of the distribution of the associated random quantity, conditional on all the evidence obtained about the remaining nodes.     

Is religion a health resource for the poor?

This paper uses data from the 2004 General Social Survey to examine the relationship between religious belief and practice (religiosity), spirituality, social support, and health status. Health status is conceptualized first in terms of a subjective assessment and, second, as two objective indicators of physical problems. These relationships were examined first within the total GSS sample, and then separately for respondents who reported below or above the median annual income. Results indicate that spirituality is a positive predictor of respondents’ subjective assessment of their health in the overall sample, but not in either separate income group. Social support does not predict positive subjective or objective health outcomes in the entire sample or for any income group. However, religiosity is a positive predictor of physical health, but only for the most severe of the physical health problems measured, and only for respondents whose annual income is below the national median. Thus, it appears that religiosity is a health resource for those below average income.     

Implementation issues for consumer-directed programs: comparing views of policy experts, consumers, and representatives

An increasing number of aging community providers and consumers support consumer-direction (CD) in long-term care services. In regard to devolution, consumer-direction goes beyond the usual approach of shifting responsibilities from the federal government to state governments to bring programs "closer to the people." Consumer-direction goes even further by placing resources directly in the hands of consumers. Yet, many questions remain unanswered regarding how to implement CD personal assistance services in general, and especially for older persons. This article describes the importance of examining views from multiple key stakeholders involved in implementing CD programs. We report on three background studies that have informed the Cash and Counseling Demonstration and Evaluation (CCDE) design and implementation-policy expert interviews as well as surveys and focus groups with consumers and representatives. As a fourth data source, we drew upon experiences in designing the CCDE and initial results from the first year of implementation. Each of the three studies on its own provided essential information for planning the CCDE. However, when we examined the studies together, and added CCDE design and implementation experiences, views expressed by the different stakeholders formed a type of multi-perspective "dialogue" that expanded our knowledge about implementing CD services. We hope this increased knowledge will help expand the availability of such services for consumers of any age who want to direct their own care.     

Resource Dependence and Community Well‐Being in Rural Canada*

Abstract The well‐being of residents of resource dependent communities is a question of traditional interest to rural sociologists. The label “resource dependent” obscures how this relationship may vary between particular resource industries, regions, or indicators of well‐being. Few analyses have compared the relationship between well‐being and resource dependence across different industries, nor tested competing theories about the relationship between resource dependence and well‐being. Our paper presents an overview of the relationship between resource dependence—agriculture, fisheries, mining, energy, forestry—and human well‐being in Canada. Analysis of 1996 Statistics Canada data revealed a great deal of variation in the effect of “resource” dependence on indicators of well‐being (e.g., human capital, unemployment, income): some industries exhibit fairly positive outcomes (e.g., agriculture), others more negative outcomes (e.g., fishing). Consistent with analyses conducted in the United States, these relationships vary by region, suggesting the need for models that incorporate the particulars of place and industry.     

Using a Box–Cox transformation in the analysis of longitudinal data with incomplete responses

We analyse longitudinal data on CD4 cell counts from patients who participated in clinical trials that compared two therapeutic treatments: zidovudine and didanosine. The investigators were interested in modelling the CD4 cell count as a function of treatment, age at base-line and disease stage at base-line. Serious concerns can be raised about the normality assumption of CD4 cell counts that is implicit in many methods and therefore an analysis may have to start with a transformation. Instead of assuming that we know the transformation (e.g. logarithmic) that makes the outcome normal and linearly related to the covariates, we estimate the transformation, by using maximum likelihood, within the Box–Cox family. There has been considerable work on the Box–Cox transformation for univariate regression models. Here, we discuss the Box–Cox transformation for longitudinal regression models when the outcome can be missing over time, and we also implement a maximization method for the likelihood, assumming that the missing data are missing at random.