Beyond PowerPoint™: Using Learning Objects to Enhance Social Work Courses

Faculty use of information and communication technologies (ICT) in social work courses has the potential to transform social work education, including increasing student engagement and accommodating different learning styles. Learning objects are reusable digital resources with a pedagogical purpose that may be used in online, hybrid, or face-to-face social work courses to achieve these and other pedagogical benefits. This article defines and provides an overview of the concept “learning objects.” Guidelines for locating and incorporating existing learning objects and for creating learning objects for use in social work courses are detailed. Finally, examples are provided.     

Modelling Correlated Zero-inflated Count Data

This paper extends the two-component approach to modelling count data with extra zeros, considered by Mullahy (1986), Heilbron (1994) and Welsh et al. (1996), to take account of possible serial dependence between repeated observations. Generalized estimating equations (Liang & Zeger, 1986) are constructed for each component of the model by incorporating correlation matrices into each of the maximum likelihood estimating equations. The proposed method is demonstrated on weekly counts of Noisy Friarbirds ( Philemon cornic-ulatus ), which were recorded by observers for the Canberra Garden Bird Survey (Hermes, 1981).     

Intergenerational Profiles of Socioeconomic (Dis)advantage and Obesity During the Transition to Adulthood

Investigations of socioeconomic status (SES) and health during the transition to adulthood in the United States are complicated by the later and more varied transitions in residence, employment, schooling, and social roles compared with previous generations. Parental SES is an important influence during adolescence but cannot sufficiently capture the SES of the independent young adult. Typical, single SES indicators based on income or education likely misclassify the SES of young adults who have not yet completed their education or other training, or who have entered the labor force early with ultimately lower status attainment. We use a latent class analysis (LCA) framework to characterize five intergenerational SES groups, combining multidimensional SES information from two time points—that is, adolescent (parental) and young adult (self) SES data. Associations of these groups with obesity, a high-risk health outcome in young adults, revealed nuanced relationships not seen using traditional intergenerational SES measures. In males, for example, a middle-class upbringing in adolescence and continued material advantage into adulthood was associated with nearly as high obesity as a working poor upbringing and early, detrimental transitions. This intergenerational typology of early SES exposure facilitates understanding of SES and health during young adulthood.     

Revising Infant Mortality Rates for the Early Twentieth Century United States

Accurate vital statistics are required to understand the evolution of racial disparities in infant health and the causes of rapid secular decline in infant mortality during the early twentieth century. Unfortunately, U.S. infant mortality rates prior to 1950 suffer from an upward bias stemming from a severe underregistration of births. At one extreme, African American births in southern states went unregistered at the rate of 15 % to 25 %. In this study, we construct improved estimates of births and infant mortality in the United States for 1915–1940 using recently released complete count decennial census microdata combined with the counts of infant deaths from published sources. We check the veracity of our estimates with a major birth registration study completed in conjunction with the 1940 decennial census and find that the largest adjustments occur in states with less-complete birth registration systems. An additional advantage of our census-based estimation method is the extension backward of the birth and infant mortality series for years prior to published estimates of registered births, enabling previously impossible comparisons and estimations. Finally, we show that underregistration can bias effect estimates even in a panel setting with specifications that include location fixed effects and place-specific linear time trends.     

A Dyadic Analysis of Attachment Insecurities and Romantic Disengagement among Couples Seeking Relationship Therapy

This study sought to assess the role of attachment insecurities on romantic disengagement among couples seeking relationship therapy. Dyadic associations were examined between attachment insecurities and romantic disengagement, accounting for depression, relationship satisfaction, and commitment, using a sample of 171 couples. Partners completed the Experiences in Close Relationships Scale and the Romantic Disengagement Scale. Path analysis revealed that attachment-related avoidance, but not anxiety, was associated with romantic disengagement. Men's attachment-related anxiety was related to greater disengagement in their partner. The combination of men's attachment-related avoidance and women's attachment-related anxiety was also significantly associated with women's romantic disengagement. Although attachment insecurities were associated with romantic disengagement, contextual and intrapersonal factors also contributed to our understanding of disengagement. Findings are discussed in light of clinical interventions for couple therapy.     

Sexual Portrait of Couples Seeking Relationship Therapy

This study sought to provide information about the sexual well‐being of 298 mixed‐sex couples seeking relationship therapy and determined the extent to which problems with sexual functioning and dyadic adjustment of both partners are associated with sexual satisfaction. Partners completed measures of dyadic adjustment, sexual satisfaction, and sexual functioning. Thirty percent of couples reported a clinically significant sexual problem. Compared to their male partners, the women were more likely to report a sexual problem as well as lower dyadic adjustment, sexual satisfaction, and overall sexual functioning. Path analysis indicated that relationship adjustment uniquely predicted individuals' own sexual satisfaction; problems in sexual functioning uniquely predicted own and partner sexual satisfaction. Findings underscore the need to address sexual problems in relationship therapy.     

Why People Leave Community Service Organizations: A Mixed Methods Study

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Despite the benefits of volunteering to the individual, organization and community, the retention of volunteers within...