Quality of Life of Some Under-Represented Survey Respondents: Youth, Aboriginals and Unemployed

Examining an aggregated sample (N=8800) of residents who responded to one of 16 surveys undertaken in Prince George, British Columbia in the period from November 1997 to February 2005, it was found that satisfaction with the quality of life of unemployed residents is lower than that of residents with Aboriginal backgrounds and that satisfaction with the quality of life of the latter is still lower than that of young people. Nevertheless, satisfaction with the quality of life of young people was significantly lower than that of the total sampled population, as well as that of the selected mid-life and retirement groups. Regarding predictors of our three global dependent variables (satisfaction with life as a whole and with the overall quality of life, and happiness) for the three groups (unemployed, Aboriginals and youth) and the total population, we found that the Aboriginal group was most different from all others. Satisfaction with one’s own self-esteem was the most influential predictor of each global indicator for every group except Aboriginal residents. For the latter, self-esteem satisfaction was only the strongest predictor of satisfaction with the overall quality of life. The strongest predictor of life satisfaction for the Aboriginal group was satisfaction with friendships, and there were two domain satisfaction scores tied (friendships and living partner) for most influential predictors of happiness. Self-esteem satisfaction ranked second in strength of influence on Aboriginal happiness and life satisfaction.     

A BRANCHING PROCESS MODEL FOR FLOW CYTOMETRY AND BUDDING INDEX MEASUREMENTS IN CELL SYNCHRONY EXPERIMENTS

We present a flexible branching process model for cell population dynamics in synchrony/time-series experiments used to study important cellular processes. Its formulation is constructive, based on an accounting of the unique cohorts in the population as they arise and evolve over time, allowing it to be written in closed form. The model can attribute effects to subsets of the population, providing flexibility not available using the models historically applied to these populations. It provides a tool for in silico synchronization of the population and can be used to deconvolve population-level experimental measurements, such as temporal expression profiles. It also allows for the direct comparison of assay measurements made from multiple experiments. The model can be fit either to budding index or DNA content measurements, or both, and is easily adaptable to new forms of data. The ability to use DNA content data makes the model applicable to almost any organism. We describe the model and illustrate its utility and flexibility in a study of cell cycle progression in the yeast Saccharomyces cerevisiae.     

Generalized autoregressive and moving average models: multicollinearity,interpretation and a new modified model

In this paper, we call attention of two observed features in practical applications of the Generalized Autoregressive Moving Average (GARMA) model due to the structure of its linear predictor. One is the multicollinearity which may lead to a non-convergence of the maximum likelihood, using iteratively reweighted least squares, and the inflation of the estimator's variance. The second is that the inclusion of the same lagged observations into the autoregressive and moving average components confounds the interpretation of the parameters. A modified model, GAR-M, is presented to reduce the multicollinearity and to improve the interpretation of the parameters. The expectation and variance under stationarity conditions are presented for the identity and logarithm link function. In a general sense, simulation studies show that the maximum likelihood estimators based on the GARMA and GAR-M models are equivalent but the GAR-M estimators presented a little lower standard errors and some restrictions in the parametric space are imposed to guarantee the stationarity of the process. Also, a real data analysis illustrates the GAR-M fit for daily hospitalization rates of elderly people due to respiratory diseases from October 2012 to April 2015 in São Paulo city, Brazil.     

The denial of slavery in contemporary American sociology

Theory and Society - American sociology has largely neglected enslavement as a topic of study, despite slavery’s being one of the most foundational, pervasive, and far-reaching social...     

Do different dimensions of ethnic identity reduce the risk of violence among Asian American and Pacific Islander adolescents in Hawai‘i?

This study examines whether different dimensions of ethnic identity are associated with reduced risk of violence among an understudied population: Asian American and Pacific Islander adolescents. Drawing from survey data of 298 Native Hawaiian, Samoan, Japanese, and Filipino adolescents in Hawai‘i, this study focuses on whether three dimensions of ethnic identity (“affirmation and belonging,” “ethnic identity achievement,” and “other-group orientation”) related to overall and different types of violence. Results of the multivariate analyses reveal that higher levels of ethnic identity achievement are associated with reduced risk of overall violence and family/partner violence, which suggests that this dimension is a beneficial social-psychological resource. Contrary to our expectations, higher levels of ethnic affirmation and belonging are associated with attacking someone. In addition, other-group orientation has no relationship with violence. Implications of our findings regarding distinct effects for different dimensions of ethnic identification are discussed pertaining to developmental research and violence prevention.     

Family Functioning and Predictors of Runaway Behavior Among At-Risk Youth

Adolescent runaway behavior is associated with a host of negative outcomes in young adulthood. Therefore, it is important to understand the factors that predict running away in youth. Longitudinal data from 111 at-risk families were used to identify proximal predictors of runaway behavior over a 12-week period. On average, youth were 14.96 years old, and 45 % were female. Ten percent of youth ran away during the 12-week follow-up period. In bivariate analyses, running away was predicted by poorer youth- and parent-rated family functioning, past runaway behavior, and other problem behaviors (e.g., substance use, delinquency), but not poorer perceived academic functioning. Results of a hierarchical logistic regression revealed a relationship between youth-rated family functioning and runaway behavior. However, this effect became non-significant after accounting for past runaway behavior and other problem behaviors, both of which remained significant predictors in the multivariable model. These findings suggest that youth who run away may be engaged in a more pervasive pattern of problematic behavior, and that screening and prevention programs need to address the cycle of adolescent defiant behavior associated with running away. Recommendations for clinical practice with this at-risk population are discussed.     

Swinger economics

Swinging is a sexual behaviour of increasing relevance but substantially ignored in theoretical economic investigation. This paper has two major goals. The first is to describe what swinging is, discuss its economic relevance and single out the main characteristics of swinger behaviour. To this end, the Italian situation has been considered as a type of case study. The second goal is to use standard and less-standard tools from economic theory to propose some preliminary assessments of the causes and consequences of swinger couples’ behaviour. In this respect, some contributions on two-sided markets, hedonic adaptation approaches and equilibrium matching models have proved particularly useful.     

A Note on Student Quality of Life

An aggregated sample of students (n = 3407) from the University of Northern British Columbia covering 7 of the 8 years from 1998 to 2005 is analyzed to show the relative and combined explanatory power of some life domain (e.g., satisfaction with family relations) and university-related variables (e.g., satisfaction with UNBC instructors) on some global quality-of-life variables (e.g., life satisfaction). It was found that, in combination with the life domain variables, the university-related variables added practically nothing to our explanatory power. The most powerful university-related variable was students’ satisfaction with their instructors.