A basic model for multiple self

Standard economic theory represents the individual in a unique preferential order, which is complete and transitive. Such a vision of the person is extremely reductionist. The present paper is an attempt to explore possibilities of constructing a multi-dimensional representation of man. We shall define modes of identity so as to better understand human personality. The multiplicity of modes of identity gives way to tensions between various forms of identities, which the individual has to manage.     

Visible,Symbolic, and Concealed Leaders in a Kentucky County: A Replication and Comparisons With Other Communities*

The main leaders of a large rural county were identified and classed into visible, symbolic, and concealed leader-types by Bonjean's technique. The composition of each type was summarized. The leadership pattern in this county was found to be distinctly different from the leadership pattern of places previously studied. Leaders were more visible and had stronger anchorage to public offices. Little variation existed in the locations of the leader-types in the generalized social structure of the community. The typology was, nonetheless, useful. It served as a good index for the factional and clique memberships of the leaders, which were recognized as crucial in the decision-making structure of the county.     

A latent class analysis of young adult gamblers from the Manitoba Longitudinal Survey of Young Adults

Informed by the Pathways Model, the current study utilized latent class analysis (LCA) to empirically derive subtypes of gamblers based on measures of impulsivity, anxiety, depression, drug use and alcohol dependence. The sample in this study (N = 566) was comprised of young adult gamblers (18–22 years of age) who participated in the Manitoba Longitudinal Survey of Young Adults (MLSYA). Multinomial regression was utilized to examine how demographic variables and participant scores on the Problem Gambling Severity Index (PGSI) predicted membership in gambler classes from the LCA. Results of the LCA revealed three classes of gamblers: emotionally vulnerable, non-problem and impulsive. Multinomial regression showed that older age (i.e. 20–22 years of age), lower income (< $20,000 per year), living independently and PGSI scores were associated with increased odds of being classified as an impulsive gambler. Identifying as European, living independently and PGSI scores were associated with increased odds of being grouped in the emotionally vulnerable class of gambler. These results suggest that young adult gamblers are not a homogeneous group but instead are best understood as falling into different subtypes based on shared characteristics outlined in the Pathways Model.     

Region‐Urbanicity Differences in Locus of Control: Social Disadvantage,Structure, or Cultural Exceptionalism?

People with internal rather than external locus of control experience better outcomes in multiple domains. Previous studies on spatial differences in control within America only focused on the South, relied on aggregate level data or historical evidence, or did not account for other confounding regional distinctions (such as variation in urbanicity). Using data from the National Education Longitudinal Study, we find differences in adolescents' loci of control depending on their region and urbanicity are largely attributable to differences in their social background, and only minimally to structural differences (i.e., differences in the qualities of adolescents' schools). Differences that persist net of differences across adolescents and their schools suggest the less internal control of rural Southern adolescents, and the more internal control of rural and urban Northeastern adolescents, may be due to cultural distinctions in those areas. Results indicate region is more closely associated than urbanicity with differences in locus of control, with Western and Northeastern cultures seemingly fostering more internal control than Midwestern and Southern cultures. These findings contribute to research on spatial variation in a variety of psychological traits.     

Trends and Socioeconomic Gradients in Adult Mortality around the Developing World

We combine data from 84 Demographic and Health Surveys from 46 countries to analyze trends and socioeconomic differences in adult mortality, calculating mortality based on the sibling mortality reports collected from female respondents aged 15–49. The analysis yields four main findings. First, adult mortality is different from child mortality: while under‐5 mortality shows a definite improving trend over time, adult mortality does not, especially in sub‐Saharan Africa. The second main finding is the increase in adult mortality in sub‐Saharan African countries. The increase is dramatic among those most affected by the HIV/AIDS pandemic. Mortality rates in the highest HIV‐prevalence countries of southern Africa exceed those in countries that experienced episodes of armed conflict. Third, even in sub‐Saharan countries where HIV prevalence is not as high, mortality rates appear to be at best stagnating, and even increasing in several cases. Finally, the main dimension along which mortality appears to differ in the aggregate is by sex. Adult mortality rates in sub‐Saharan Africa have risen substantially higher for men than for women—especially so in the high HIV‐prevalence countries. On the whole, the data do not show large gaps by urban/rural residence or by school attainment.     

Valuing Informal Care Experience: Does Choice of Measure Matter?

Well-being equations are often estimated to generate monetary values for non-marketed activities. In such studies, utility is often approximated by either life satisfaction or General Health Questionnaire scores. We estimate and compare monetary valuations of informal care for the first time in the UK employing both measures, using longitudinal data on well-being and informal care provision. The choice of well-being measure has some effect on the estimated parameters and resulting monetary valuations, but any differences are not statistically significant. Further research is needed to confirm the comparability of these measures if researchers are to continue to use them interchangeably.