934 resultados para social analysis


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This article is based upon a secondary analysis of the Youth Cohort Study of England and Wales 1998 and examines the effects of social class and ethnicity on gender differences in GCSE attainment for those who left school in 1997 (n = 14,662). The article shows that both social class and ethnicity exert a far greater influence on the GCSE performance of boys and girls than gender. Moreover, the article also shows that an interaction effect is present between social class and gender and also between ethnicity and gender in relation to their impact upon GCSE attainment. More specifically, the findings suggest that a strong correlation exists such that the lower the overall levels of educational attainment for any group (whether that group is defined in terms of social class or ethnicity), the higher the gender differences that exist between those within that group.

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Objectives: To identify demographic and socioeconomic determinants of need for acute hospital treatment at small area level. To establish whether there is a relation between poverty and use of inpatient services. To devise a risk adjustment formula for distributing public funds for hospital services using, as far as possible, variables that can be updated between censuses. Design: Cross sectional analysis. Spatial interactive modelling was used to quantify the proximity of the population to health service facilities. Two stage weighted least squares regression was used to model use against supply of hospital and community services and a wide range of potential needs drivers including health, socioeconomic census variables, uptake of income support and family credit, and religious denomination. Setting: Northern Ireland. Main outcome measure: Intensity of use of inpatient services. Results: After endogeneity of supply and use was taken into account, a statistical model was produced that predicted use based on five variables: income support, family credit, elderly people living alone, all ages standardised mortality ratio, and low birth weight. The main effect of the formula produced is to move resources from urban to rural areas. Conclusions: This work has produced a population risk adjustment formula for acute hospital treatment in which four of the five variables can be updated annually rather than relying on census derived data. Inclusion of the social security data makes a substantial difference to the model and to the results produced by the formula.

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This research analyses the importance of the training for the promotion of the social economy in two ways: 1) focusing on the characteristics of the educational offer of Social Economy and 2) analyzing its differences regarding to those studies from the Management, entrepreneurship, and innovations areas. To this aim, it is carried out as a first step a literature review of the contributions that study the relationships that can exist between the education and Economy. Then, being based on this previous analysis, we already center our research on the Social Economy sector and its relations with the education system. To get this objective, it has been developed a database that includes all the postgraduate titles related to the Economics area. Likewise, a questionnaire has been designed with the aim of characterize the training in social Economy. As a conclusion, it is obtained that the training in social economy in postgraduate studies in the Spanish Universities is very poor. On the other hand, there are significant differences between Social Economy degrees and Business Management, entrepreneurship and innovation degrees with regard to different aspects such as: values to transmit, competencies, skills, the way of understanding the Economy, etc. Based on these conclusions, different recommendations are proposed in order to promote and boost this other way of doing Economy through the training and education in postgraduate studies.

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Research has shown that people often do not claim labels associated with mental retardation or learning difficulties. We discussed the interpretation that this rejection is an example of a denial process, the purpose of which is to protect self-esteem. Alternative explanations for this lack of identification were offered, based on an understanding of the socially constructed nature of diagnostic labels and on the distinction between diagnostic labels and social categories. Some of the problems in using the label as a descriptive or explanatory resource are illustrated using quotes from a study in which people who have been labeled discussed the label.

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Concern with what can explain variation in generalized social trust has led to an abundance of theoretical models. Defining generalized social trust as a belief in human benevolence, we focus on the emancipation theory and social capital theory as well as the ethnic diversity and economic development models of trust. We then determine which dimensions of individuals’ behavior and attitudes as well as of their national context are the most important predictors. Using data from 20 countries that participated in round one of the European Social Survey, we test these models at their respective level of analysis, individual and/or national. Our analysis revealed that individuals’ own trust in the political system as a moral and competent institution was the most important predictor of generalized social trust at the individual level, while a country’s level of affluence was the most important contextual predictor, indicating that different dimensions are significant at the two levels of analysis. This analysis also raised further questions as to the meaning of social capital at the two levels of analysis and the conceptual equivalence of its civic engagement dimension across cultures.