Characteristics for the Effectiveness of Women’s Self-Help Groups in Bihar

This study examines whether group heterogeneity and group structure and process predict the effectiveness of women’s self-help groups in terms of their financial performance, self-reliance of the group, members’ decision-making ability at the household level, and access to non-financial benefits. Data were collected using an interview schedule from 210 women’s self-help groups in six districts of Bihar and data were analyzed using partial least squares structural equation modeling. The findings suggest that the group heterogeneity directly predicts the effectiveness of women’s self-help groups and it is fully transmitted through group structure and process to positively predict the effectiveness of the women’s self-help groups. The group structure and process is found to be a full mediator between group heterogeneity and group effectiveness. The predictive accuracy of the model is found to be high. The findings have implications to bring in more diversity in members castes, education, and their reasons for joining women’s self-help groups at the formation stage and variations in members’ skills and expertise at the performing stage of the groups. The members’ awareness on group norms and trust in financial transactions, and leadership styles together with cooperation and cohesion among members, transparency in financial transactions, group attendance, and networking with the bank and the federation foster the effectiveness of women’s self-help groups.     

The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey 1995

Objective: To investigate thecorrelations between age- and gender-specificmeasures of socio-economic status versus healthstatus as measured by the SF-36. Design: Population based study. Participants: 38187 people aged between18 to 79 years who participated in the NationalHealth Survey in 1995. Results: Factor analysis producedconsistent results that were interpreted interms of five conceptually meaningful domains(employment, housing, migration, family unitand education). The relative rank of thefactors differs between groups and in somecases factor composition requires items to beadded or deleted from the conceptual domains. Conclusions: Age- and gender-specific SESscores based on these factors had strongerassociations with the physical and mentalcomponents of SF-36 than either an area basedindex or scores derived from males aged 40–44years. Overall the results supported thehypothesis that SES measures composed of socialand demographic items exhibit important age-and gender-specific differences which arerelevant for health.     

Simulation of Constrained Variables in Engineering Risk Analyses

The problem of sampling random variables with overlapping pdfs subject to inequality constraints is addressed. Often, the values of physical variables in an engineering model are interrelated. This mutual dependence imposes inequality constraints on the random variables representing these parameters. Ignoring the interdependencies and sampling the variables independently can lead to inconsistency/bias. We propose an algorithm to generate samples of constrained random variables that are characterized by typical continuous probability distributions and are subject to different kinds of inequality constraints. The sampling procedure is illustrated for various representative cases and one realistic application to simulation of structural natural frequencies.     

Development of Dose‐Response Models to Predict the Relationship for Human Toxoplasma gondii Infection Associated with Meat Consumption

Toxoplasma gondii is a protozoan parasite that is responsible for approximately 24% of deaths attributed to foodborne pathogens in the United States. It is thought that a substantial portion of human T. gondii infections is acquired through the consumption of meats. The dose‐response relationship for human exposures to T. gondii‐infected meat is unknown because no human data are available. The goal of this study was to develop and validate dose‐response models based on animal studies, and to compute scaling factors so that animal‐derived models can predict T. gondii infection in humans. Relevant studies in literature were collected and appropriate studies were selected based on animal species, stage, genotype of T. gondii, and route of infection. Data were pooled and fitted to four sigmoidal‐shaped mathematical models, and model parameters were estimated using maximum likelihood estimation. Data from a mouse study were selected to develop the dose‐response relationship. Exponential and beta‐Poisson models, which predicted similar responses, were selected as reasonable dose‐response models based on their simplicity, biological plausibility, and goodness fit. A confidence interval of the parameter was determined by constructing 10,000 bootstrap samples. Scaling factors were computed by matching the predicted infection cases with the epidemiological data. Mouse‐derived models were validated against data for the dose‐infection relationship in rats. A human dose‐response model was developed as P (d) = 1–exp (–0.0015 × 0.005 × d) or P (d) = 1–(1 + d × 0.003 / 582.414)^?1.479. Both models predict the human response after consuming T. gondii‐infected meats, and provide an enhanced risk characterization in a quantitative microbial risk assessment model for this pathogen.     

Review of Concepts,Tools and Indices for the Assessment of Urban Quality of Life

Social Indicators Research - The rapid urban growth poses a huge challenge in sustaining the quality of local environment and life characteristics in contemporary cities. There is a growing body of...     

Sex Differentials in Childhood Feeding,Health Care,and Nutritional Status in India

Strong preference for sons in South Asia is well documented, but evidence on female disadvantage in childhood feeding, health care, and nutritional status is inconclusive. This article examines sex differentials in indicators of childhood feeding, health care, and nutritional status of children under age 3 by birth order and sex composition of older living siblings. Data are from India's 1992–93 and 1998–99 National Family Health Surveys. The analysis finds three reasons for inconclusive evidence on female disadvantage in aggregate analyses. First, discrimination against girls is limited to the relatively small fraction of children of certain birth orders and sex compositions of older siblings. Second, discrimination against girls when boys are in short supply and discrimination against boys when girls are in short supply cancel each other to some extent. Third, some discrimination against girls (e.g., in exclusive breastfeeding at 6–9 months) is nutritionally beneficial to girls. Separate analyses for North and South India find that gender discrimination is as common in the South as in the North, where son preference is generally much stronger.     

Social Activism in and Around Organizations

Organizations are frequent targets for social activists aiming to influence society by first altering organizational policies and practices. Reflecting a steady rise in research on this topic, we review recent literature and advance an insider-outsider framework to help explicate the diverse mechanisms and pathways involved. Our framework distinguishes between different types of activists based on their relationship with targeted organizations. For example, “insider” activists who are employees of the target organization have certain advantages and disadvantages when compared with “outsider” activists who are members of independent social movement organizations. We also distinguish between the direct and indirect (or spillover) effects of social activism. Much research has focused on the direct effects of activism on targeted organizations, but often the effects on non-targeted organizations matter more for activists goals of achieving widespread change. Drawing on this framework, we identify and discuss eight specific areas that are in need of further scholarly attention.     

Roles of Transparency and Trust in the Relationship between Privatization and Customers’ Satisfaction in Ethiopia: Results of Structural Equation Modelling

As a part of public sector reform, privatization has been actively experienced since three decades across the globe. This study examines the relationship between privatization of public organizations and customers’ satisfaction in Ethiopia with the mediating role of transparency and trust. The structural equation modelling was applied to 315 samples taken from privatized services and manufacturing sectors. The results established that transparency alone fails to be a mediator, but trust plays the role of a partial mediator into the relationship between privatization and customers satisfaction. Combined together, the model results into a partial mediation of both transparency and trust.