The Effects of Parenting on the Development of Adolescent Alcohol Misuse: A Six‐Wave Latent Growth Model

Alcohol use increases throughout adolescence. Based on family socialization theory, it was hypothesized that family factors, particularly parental support and monitoring, would influence individual trajectories in the development of alcohol misuse. Six waves of data were analyzed, based on interviews with 506 adolescents in the general population of a northeastern metropolitan area. Using growth‐curve longitudinal analysis, results show that parenting significantly predicts adolescents' initial drinking levels (intercepts) as well as their rates of increase in alcohol misuse (slope). This study provides evidence that effective parenting is an important factor in preventing alcohol misuse.     

Adolescents’ Daily Experience of Fathers’ Emotional Support and Self‐Evaluation in Korea

Recently, fathers’ role in children's development has been recognized internationally. In Asian countries, similar conversations have emerged but there has been a lack of empirical studies that considered the unique cultural contexts. As a response, based on Bronfenbrenner's process‐person‐context‐time model, the present study examined the daily dynamics and individual differences in the experience of fathers’ emotional support and self‐evaluation in social roles among 283 Korean adolescents in 5th and 8th grade. Through Hierarchical Linear Modeling, within‐person associations between adolescents’ experience of fathers’ emotional support and self‐evaluation in social roles on the same day and the next day were found, with individual differences by grade level and family affluence. Theoretical and practical implications within the relevant cultural context are discussed.     

Client-centred Case Management: How Much Makes a Difference to Outcomes for Homeless Jobseekers?

Case management has become the predominant model for attempting to improve outcomes for young adults experiencing both homelessness and unemployment. However, there is little evidence-based knowledge about how young adults respond to case management, and how much intervention is needed to be effective. This Australian study utilised quantitative government data to investigate the effects of the amount of case management on key outcomes. With a purposive sample of 224 people aged 18–35, this study compared four different amounts of YP⁴ case management service received over a three-year period. Participants were categorised into four groupings depending on the number of case management contacts they received: 0–5, 6–20, 21–40, and 41–156. The findings show some significant group variations over the course of the trial in the areas of employment and accommodation. Participants who received 20 or more contacts had significantly better accommodation and employment outcomes than those who received fewer contacts.     

The Gudaga Research Program: A Case Study in Undertaking Research with an Urban Aboriginal Community

This paper presents the Gudaga Research Program as a case study describing the practice principles used to implement a successful research partnership with an urban Aboriginal community in south-western Sydney. This is one of few papers that address research issues unique to working with urban Aboriginal communities, in which the Aboriginal culture of the community is not homogenous. The authors argue that the relationships between the researchers and key community members and research participants underpin the research success. Throughout, the authors show that ongoing processes to nurture and reaffirm these relationships are important and require ongoing investment. A proposed practice framework demonstrates the relationship between knowledge and understanding of Aboriginal history and culture, the underpinning values including trust, respect, and reciprocity, and shared skills and communication. Examples of how these were built into the research are provided. These are important skills that have application beyond the research process.     

Exploring the Nexus of Nonprofit Financial Stability and Financial Growth

Taking a unified approach to studying nonprofit financial health, this research tackles a key question that has remained unexplored in the literature: “What lies at the intersection of the two key dimensions of financial health–financial stability and financial growth?” Specifically, we identify and compare nonprofits that exhibit high levels of financial stability and growth (high financially performing) to those that exhibit low levels (low financially performing)? Overall, we find that high financial performers (HFPs) tend to be older and larger organizations (in terms of unrestricted net assets and total revenue). HFPs are also more likely to report capital assets, and report high levels of compensation. Finally, HFPs tend to contain their overhead spending by exercising efficiency by investing in talented officers (paying more than the rest), but limiting the share of officer compensation, administrative, and fundraising expenses, as a percentage of total expenses. The results of the study should be informative to stakeholders attempting to understand the profile of an organization that is successfully able to achieve both capacity growth and financial stability.     

Parental supervision and adolescent risky behaviors

This paper re-examines the relationship between parental supervision and adolescents’ engagement in risky behaviors. Using the Child Development Supplement and Transition to Adulthood of the Panel Study of Income Dynamics, I consider different measures of supervision among a sample of adolescents 10–21 years old. Issues relating to endogeneity bias and unobserved heterogeneity are accounted for using lagged amounts of supervision and fixed effects as an estimation strategy. The results highlight the role of fathers in mitigating cigarette smoking in the past month, regular alcohol consumption in the past year, and marijuana smoking in the past month. The research emphasizes the need to account for unobserved heterogeneity and supports the idea of looking at the different roles of each parent in affecting child outcomes.     

Ebenezer Obadare: The Handbook of Civil Society in Africa

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Staking reputation on stakeholders: How does stakeholders’ Facebook engagement help or ruin a company’s reputation?

The majority of studies in public relations continue to examine organization-public relationships from only the organization’s perspective, with few studies focusing on the other side of the communication loop: stakeholders. The current study takes the stakeholders’ perspective to investigate the relationship between active stakeholders’ online behavior and corporate reputation. Modeling 5-year longitudinal social media data, a content analysis was conducted for Fortune 500 companies in the context of Facebook. By examining stakeholders’ Facebook engagement at the two levels of shallow engagement and profound engagement, significant associations were discovered. Active stakeholders’ Facebook-based interactions as leaving positive or negative comments with a company are significant predictors of the company’s reputation score. The findings bring new insights to existing literature and also practical implications to public relations professionals.     

A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters

Clustered longitudinal data feature cross‐sectional associations within clusters, serial dependence within subjects, and associations between responses at different time points from different subjects within the same cluster. Generalized estimating equations are often used for inference with data of this sort since they do not require full specification of the response model. When data are incomplete, however, they require data to be missing completely at random unless inverse probability weights are introduced based on a model for the missing data process. The authors propose a robust approach for incomplete clustered longitudinal data using composite likelihood. Specifically, pairwise likelihood methods are described for conducting robust estimation with minimal model assumptions made. The authors also show that the resulting estimates remain valid for a wide variety of missing data problems including missing at random mechanisms and so in such cases there is no need to model the missing data process. In addition to describing the asymptotic properties of the resulting estimators, it is shown that the method performs well empirically through simulation studies for complete and incomplete data. Pairwise likelihood estimators are also compared with estimators obtained from inverse probability weighted alternating logistic regression. An application to data from the Waterloo Smoking Prevention Project is provided for illustration. The Canadian Journal of Statistics 39: 34–51; 2011 © 2010 Statistical Society of Canada