Determinants of Vaginal Cleansing,Application, and Insertion in Tete Province,Mozambique, and Products Used

Objective: In this article, we review insertion, application, and cleansing as they include the use of products other than water and have a number of harmful effects. Method: In 2007, a household survey of 919 women carried out in Tete Province, Mozambique, examined 8 vaginal practices. Results: Overall, 10% of the sexually active women reported regularly using these 3 vaginal practices concurrently. Of the women who practiced insertion, 65% used natural substances. A wider variety of products was used for applying substances on the external genitalia and for cleansing purposes. Conclusions: These findings have important implications for future HIV prevention, including in the use of microbicides.     

Resource Dependence In Non-profit Organizations: Is It Harder To Fundraise If You Diversify Your Revenue Structure?

This article explores how fundraising efficiency is affected by changes in diversification of revenues in non-profit organizations. It uses random effect regression and Arellano–Bond models to study this phenomenon in a sample of 10358 US non-profits during the 1997–2007 period. We find a negative impact on fundraising efficiency when NPOs alter their locus of dependence and change their pattern of diversification. This effect is impacted by organizational size and industry. Previous studies have suggested that income heterogeneity is associated with organizational stability and financial strength. Using a change (versus level) model of funding diversity, our work shows that increased diversification leads to a higher operational inefficiency that could be penalized by potential donors.     

A mixed‐method examination of ego‐resiliency,adjustment problems,and academic engagement in children of Latino migrant farmworkers

Children from Latino migrant farmworker (LMFW) families are one of the most educationally disenfranchised and marginalized populations of students in the United States. These children face similar disadvantages to other low‐income immigrant families, but often experience unique contextual stressors due to high mobility that places them at high risk for mental health problems, risk‐taking behaviors, and poor academic engagement. Despite these high vulnerabilities few researchers have focused their efforts on LMFW children specifically, or addressed resilience factors in particular. Ego‐resiliency is an enduring psychological construct reflecting how individuals overcome day‐to‐day challenges. We used a convergent mixed method cross‐sectional design to examine the effects of LMFW children's (N = 66, ages 6–18, Mage = 12.79) depressive and conduct problems on their academic efficacy/mastery, and whether ego‐resiliency counteracted these relations. Ego‐resiliency was negatively associated with depression and conduct problems, and positively related to academic efficacy/mastery. Conduct problems were negatively related to academic efficacy/mastery, but depression was not. Ego‐resiliency also moderated the relation of depression to academic efficacy/mastery. Qualitative results provided a deeper explanation of contributing factors to LMFW children's adjustment, how adjustment problems affected their academic success, and the coping mechanisms and resilience factors used by LMFW children to overcome difficult experiences.     

Contentment and Affect in the Estimation of Happiness

How do we assess how happy we are? One theory is that we compare life-as-it-is with standards of how-life-should-be. In this view, happiness emerges from a cognitive evaluation that draws on socially constructed standard of the good life. Another theory holds that we rather infer happiness on the basis of how well we feel most of the time. In that view, happiness is an unreasoned affective experience that roots in the gratification of universal human needs. One question that emerges from this discussion is whether these are really independent ways of evaluating life. If so, a next question is what their relative weight is in the evaluation. These questions are addressed at the nation level using data of the Gallup World Poll over the years 2006–2010. This survey in 127 nations involves not only a question on overall life satisfaction, but also a more cognitively focused question on how close one’s life is to the best possible and a series of questions on yesterday’s mood. Analysis of average scores in nations shows that mood and contentment are much intertwined, but also add to overall life satisfaction independently, the former more than the latter.     

Comparing degree programs from students’ assessments: A LCRA-based adjusted composite indicator

Taking into account the students’ evaluation of the quality of degree programs this paper presents a proposal for building up an adjusted performance indicator based on Latent Class Regression Analysis. The method enables us (i) to summarize in a single indicator statement multiple facets evaluated by students through a survey questionnaire and (ii) to control the variability in the evaluations that is mainly attributable to the characteristics (often referred as the Potential Confounding Factors) of the evaluators (students) rather than to real differences in the performances of the degree programs under evaluation. A simulation study is implemented in order to test the method and assess its potential when the composition of the degree programs as regards to students’ characteristics is sensibly different between one another. Results suggest that when the evaluations are strongly affected by the students’ covariates, the assessment based on the value of an unadjusted indicator can lead to bias and unreliable conclusions about the differences in performance. An application to real data is also provided.     

Asymptotic behavior of RA-estimates in autoregressive 2D processes

In this work we study the asymptotic behavior of a robust class of estimators of the coefficient of a AR-2D process. We establish the precise conditions for the consistency and asymptotic normality of the RA estimator. The AR-2D model has many applications in image modeling and statistical image processing, therefore the relevance of knowing such properties. The adequacy of the AR-2D model is analyzed with real images; we also show the impact of contamination and the capability of the RA estimator to produce useful results even in the presence of spurious data.     

A Bayesian model for multinomial sampling with misclassified data

In this paper the issue of making inferences with misclassified data from a noisy multinomial process is addressed. A Bayesian model for making inferences about the proportions and the noise parameters is developed. The problem is reformulated in a more tractable form by introducing auxiliary or latent random vectors. This allows for an easy-to-implement Gibbs sampling-based algorithm to generate samples from the distributions of interest. An illustrative example related to elections is also presented.     

A control in stratified sampling

A new expression of the variance of the units from a stratified finite population wit L strata, is obtained in funcions of the means L–1 strata, and in conseqeuence we obtained formulae which relates the mean of a stratum in a statistical study with the population mean and the ones of the remaining strate. As an application, we obtained a useful checking of the estimation consistency by stratified sampling in any precies survey     

Properties of systems with two exchangeable Pareto components

The life lengths of the units in a system can be modelled by a bivariate distribution. In this paper, we suppose that the joint distribution of the units is a symmetric bivariate Pareto (Lomax) distribution. For this model, we obtain basic reliability properties for series and parallel systems. J. M. Ruiz Partially Supported by Ministerio de Ciencia y Tecnologia under grant BFM2003-02947 and Fundacion Seneca under grant 00698/PI/04.