International product life cycles,trade and development stages

The Journal of Technology Transfer - In this paper we first propose a proxy for early stage activity in a country’s exports based on product life cycle theory. Employing a conditional latent...     

The Relation of Antisocial Behavior Patterns and Changes in Internalizing Symptoms for a Sample of Inner-city Youth: Comorbidity within a Developmental Framework

Research examining the relationship between internalizing symptoms and antisocial behaviors has generally been cross-sectional in design. Thus, although extant data have substantiated a strong correlation between internalizing symptoms and antisocial behaviors, few studies have focused on describing the nature of the co-occurrence over time. This study examined the relation between growth in internalizing symptoms and longitudinal patterns of antisocial behavior in a sample of 283 inner-city males and their caregivers assessed as part of a longitudinal developmental risk study. Participants were assessed annually in four waves. Non-offenders and escalating offenders had lower levels of internalizing problems at wave 1 than did chronic minor and serious-chronic-violent offenders. Results revealed a developmental trend of decreasing internalizing problems across study years for most participants, as would be expected, with adolescents participating in serious, chronic, and violent patterns of antisocial behavior displaying greater internalizing problems than those participating in stable patterns of less serious or no antisocial behavior. Further, when there was escalation of seriousness and frequency of antisocial behavior, there also was increased internalizing problems relative to non-escalating juveniles. Results are discussed in the context of developmental psychopathology.

Predicting Children’s Depressive Symptoms from Community and Individual Risk Factors

Community, demographic, familial, and personal risk factors of childhood depressive symptoms were examined from an ecological theoretical approach using hierarchical linear modeling. Individual-level data were collected from an ethnically diverse (73% African-American) community sample of 197 children and their parents; community-level data were obtained from the U.S. Census regarding rates of community poverty and unemployment in participants’ neighborhoods. Results indicated that high rates of community poverty and unemployment, children’s depressive attributional style, and low levels of self-perceived competence predict children’s depressive symptoms, even after accounting for demographic and familial risk factors, such as parental education and negative parenting behaviors. The effect of negative parenting behaviors on depressive symptoms was partially mediated by personal variables like children’s self-perceived competence. Recommendations for future research, intervention and prevention programs are discussed.

Surviving the suicides of significant others: a case study

Psychological pain has been reported to be major contributing factor for completed suicide, and classical suicidology based its wisdom on this construct. In this paper we report the case of a patient whose family experienced a high number of suicides apparently due to an escalation of psychological pain in the family members after the successive suicides. We also briefly discuss the problem of helping survivors after the suicide of loved one.     

Suicide among indigenous peoples: the usefulness of the Human Relations Area Files

The present note describes the resource for studying suicide in indigenous peoples provided by the Human Relations Area Files and describes three ways in which these files can illuminate suicidal behavior: testing theories of suicide, exploring the linguistics of suicide, and challenging myths about suicide.     

Models of E‐Government: Are They Correct? An Empirical Assessment

Research into e-government is relatively new. Nevertheless, much contemporary thinking and writing about e-government is driven by normative models that appeared less than a decade ago. The authors present empirical evidence from three surveys of local e-government in the United States to test whether these models are accurate or useful for understanding the actual development of e-government. They find that local e-government is mainly informational, with a few transactions but virtually no indication of the high-level functions predicted in the models. Thus, the models do not accurately describe or predict the development of e-government, at least among American local governments. These models, though intellectually interesting, are purely speculative, having been developed without linkage to the literature about information technology and government. The authors offer grounded observations about e-government that will useful to scholars and practitioners alike.