Temperamental,Parental, and Contextual Contributors to Early‐emerging Internalizing Problems: A New Integrative Analysis Approach

This study evaluated a comprehensive model of factors associated with internalizing problems (IP) in early childhood, hypothesizing direct, mediated, and moderated pathways linking child temperamental inhibition, maternal overcontrol and rejection, and contextual stressors to IP. In a novel approach, three samples were integrated to form a large sample (N = 500) of Canadian children (2–6 years; M = 3.95 years; SD = .80). Items tapping into the same constructs across samples were used to create parallel measures of inhibited temperament, maternal positive, critical, and punitive parenting, maternal negative emotionality, family socioeconomic and structural stressors, and child's IP. Multiple‐groups structural equation modeling indicated that associations were invariant across samples and did not differ for boys and girls. Child inhibition, less positive and more critical parenting, maternal negative emotionality, and family socioeconomic disadvantage were found to have direct associations with IP. In addition, maternal negative emotionality was associated with IP through more critical parenting, and both maternal negative emotionality and socioeconomic stress were associated with IP through less positive parenting. Results highlight the multiple independent and cumulative risk factors for early IP and demonstrate the power of integrating data across developmental studies.     

Modeling uncertainty in macroeconomic growth determinants using Gaussian graphical models

Model uncertainty has become a central focus of policy discussion surrounding the determinants of economic growth. Over 140 regressors have been employed in growth empirics due to the proliferation of several new growth theories in the past two decades. Recently Bayesian model averaging (BMA) has been employed to address model uncertainty and to provide clear policy implications by identifying robust growth determinants. The BMA approaches were, however, limited to linear regression models that abstract from possible dependencies embedded in the covariance structures of growth determinants. The recent empirical growth literature has developed jointness measures to highlight such dependencies. We address model uncertainty and covariate dependencies in a comprehensive Bayesian framework that allows for structural learning in linear regressions and Gaussian graphical models. A common prior specification across the entire comprehensive framework provides consistency. Gaussian graphical models allow for a principled analysis of dependency structures, which allows us to generate a much more parsimonious set of fundamental growth determinants. Our empirics are based on a prominent growth dataset with 41 potential economic factors that has been utilized in numerous previous analyses to account for model uncertainty as well as jointness.     

The optimal number of suppliers considering the costs of individual supplier failures

This paper utilizes the decision tree approach to determine the optimal number of suppliers in the presence of supplier failure risks. Previous proposed models have considered only two states of nature: all suppliers fail to deliver and not all suppliers fail to deliver. In practice, however, there is clearly a partial loss associated with the failure of any individual supplier. We present models that allow a more realistic decision-making process by taking into consideration the independent risks of individual supplier failures when the probability of failure for each of the suppliers is equal as well as the case where the probability of failure from each of the suppliers is not equal. We also consider various levels of supplier failure probability and possible procurement or operating cost savings gained from using less reliable suppliers. The results indicate that when suppliers are highly reliable, sole sourcing is the lowest cost approach under all experimental conditions. However, as the suppliers become less reliable, additional suppliers may be required to obtain the lowest cost. Finally, it was shown that only in the extreme conditions of unreliable suppliers, high loss to operational cost per supplier, and low ability to mitigate the failure from a partial set of suppliers, having a large number of suppliers is an effective strategy.     

SOCIOECONOMIC CHANGE AND HOMICIDE IN A TRANSITIONAL SOCIETY

Durkheim argued that rapid social change would produce anomic conditions which, in turn, would lead to increases in criminal and deviant behavior. Russia provides a unique opportunity to test this theory given the large-scale fundamental socioeconomic changes occurring in the nation. Russian homicide rates more than doubled in the years following the dissolution of the Soviet Union and are now among the highest in the world. The pace and effects of the socioeconomic transition vary widely throughout Russia, however, as do rates of and changes in violent crime. In this study, we took advantage of the unique natural experiment of the collapse of the Soviet Union to examine the association between socioeconomic change and homicide. We measured the negative effects of socioeconomic change by creating an index of changes in population size, unemployment, privatization, and foreign investment. Using data from Russian regions (n = 78) and controlling for other structural covariates, regression results indicated that regions that more strongly experienced the negative effects of socioeconomic change were regions where homicide rates increased the most between 1991 and 2000. Further analysis of the individual components of this index revealed that regions with greater increases in (1) unemployment experienced greater increases in homicide rates and (2) privatization experienced smaller increases in homicide rates.     

Bridges to Sobriety: Testing the Feasibility and Acceptability of a Mobile App Designed to Supplement an Adolescent Substance Use Disorder Treatment Program

Clinical Social Work Journal - Adolescent substance use is a growing problem that causes a myriad of negative outcomes. Using substances during adolescence can lead to decreased executive...     

Evaluation of Equality Policies for the Status of Women in Canada

The aim of this paper is to review and evaluate policies designed to creategender equality in Canada over roughly the past 30 years with a view todetermining what impact, if any, they have had on the status of women.After considering 29 indicators, and noting some of their advantages anddisadvantages, it is concluded that all things considered, there is moreevidence of improvement than of deterioration in the status of women,including more evidence of progress toward gender equality, since the 1970Report of the Royal Commission on the Status of Women in Canada.     

Telegraphic Personalized Instructional Packages for Students

This paper draws together four different teaching-learning constructs into a unified package making use of the instructional module as a vehicle for assisting students to rapidly acquire a knowledge, value, and skill base in social work. This model identifies a process in which telegraphic prose is utilized to convey content in an abbreviated form for the purpose of speeding up the learning process. The content is imbedded in instructional modules to identify the competency to be acquired. Humanizing the instructional process is attained by four positive concepts of learning.     

Antisocial Propensity,Adolescent School Outcomes,and the Risk of Criminal Conviction

Data from the 1986 Northern Finland Birth Cohort Study (n = 4,645) were used to examine the influence of mid‐adolescent (age 15) school outcomes on late‐adolescent (ages 17–19) risk of criminal conviction. Consistent with social‐developmental theories of offending, we found that poor academic performance and reduced school attachment increase the risk of criminal conviction independently of pre‐existing differences in antisocial propensity and other confounding factors identified in prior research. Moreover, in support of an integrated model, our research suggests that academic performance and school attachment mediate the effects of childhood antisociality and learning difficulties on late‐adolescent risk of criminal conviction. The implications of findings for policy and future research are discussed.