高等教育制度和教师教育——墨西哥国立师范大学与墨西哥的基础教育教师培训

促进教育公平和提高教育质量的关键在于教师教育的变革。新制定的教育政策的指导方针是把教师的专业发展作为教育成就目标达成以及提高不同社会经济和文化状况下的学生学业成就的中心。高等院校中的教师教育机构应当责无旁贷地承担起教师教育改革的重任。墨西哥国立师范大学必须在充分了解当前基础教育教师现状、本校教师教育优势和问题的基础上,通过内部改革,推动学术的发展,提供优质教育,引领墨西哥的教师教育改革。     

Determinants of maltreatment substantiation in a sample of infants involved with the child welfare system

Children under one year of age are highly vulnerable to child maltreatment, which can lead to serious immediate and long-term physical and mental health consequences. Child welfare workers encounter unique challenges when assessing allegations of maltreatment involving infants. This study identifies correlates of maltreatment substantiation in a sample of 793 infants less than one year of age investigated by child welfare. It is based on data from the 2003 Canadian Incidence Study of Reported Child Abuse and Neglect (CIS-2003), a national study of reports of child maltreatment. The analysis consisted of two stages. First, bivariate analyses were conducted using unadjusted odds ratios and chi-square tests on variables known to be associated with substantiation. In the second stage, a logistic regression was performed to examine these associations in a multivariate model.Multivariate findings suggest that certain vulnerabilities present in the primary caregiver, such as substance abuse and few social supports, as well as the child's positive toxicology at birth are associated with substantiated infant maltreatment. Exposure to domestic violence, which is reported mostly by the police, and physical harm stemming from maltreatment are strongly associated with substantiation, whereas reports of physical abuse and neglect have an inverse relationship. The authors discuss these results and implications for policy and programs.     

A Note on the Hodges–Lehmann Estimator and the Logistic Distribution

ABSTRACT

It is well known that the Hodges–Lehmann estimator is asymptotically efficient for the location parameter of the logistic distribution. In this article we give a simple and direct proof that this property also characterizes the logistic between all the symmetric location distributions under mild conditions. Using pseudolikelihood, we also show how to find from the Hodges–Lehmann estimator an asymptotically efficient estimator of the scale parameter of the logistic distribution.     

University environment and entrepreneurial intention: the mediating role of the components of the theory of planned behaviour / El entorno universitario y la intención emprendedora: el papel mediador de los componentes de la teoría de la acción planificada

Entrepreneurship contributes to job creation and economic development. Thus, it is important to promote entrepreneurial initiatives; universities play a key role in this regard. The psychosocial perspective can contribute a great deal to studying the antecedents that lead a person to become an entrepreneur, with the theory of planned behaviour (TPB) being the theoretical framework used the most to predict entrepreneurial intention. Based on the data collected in Spain as part of the international GUESSS project (Global University Entrepreneurial Spirit Students’ Survey) with a sample of 9,753 students, the influence of the university environment, the entrepreneurial environment and the perceived risk of entrepreneurship on entrepreneurial intention are analysed, both directly and as mediated by the three components of the TPB (attitudes towards entrepreneurship, subjective norms and entrepreneurial self-efficacy). The results show that the university environment is the antecedent with the greatest effect on entrepreneurial intention; therefore, it is recommended that entrepreneurship be promoted through initiatives and educational programmes in the university environment.     

Estimation of the Entropy Rate of a Countable Markov Chain

We consider here ergodic homogeneous Markov chains with countable state spaces. The entropy rate of the chain is an explicit function of its transition and stationary distributions. We construct estimators for this entropy rate and for the entropy of the stationary distribution of the chain, in the parametric and nonparametric cases. We study estimation from one sample with long length and from many independent samples with given length. In the parametric case, the estimators are deduced by plug-in from the maximum likelihood estimator of the parameter. In the nonparametric case, the estimators are deduced by plug-in from the empirical estimators of the transition and stationary distributions. They are proven to have good asymptotic properties.     

Clustering and classification problems in genetics through U-statistics

ABSTRACT

Genetic data are frequently categorical and have complex dependence structures that are not always well understood. For this reason, clustering and classification based on genetic data, while highly relevant, are challenging statistical problems. Here we consider a versatile U-statistics-based approach for non-parametric clustering that allows for an unconventional way of solving these problems. In this paper we propose a statistical test to assess group homogeneity taking into account multiple testing issues and a clustering algorithm based on dissimilarities within and between groups that highly speeds up the homogeneity test. We also propose a test to verify classification significance of a sample in one of two groups. We present Monte Carlo simulations that evaluate size and power of the proposed tests under different scenarios. Finally, the methodology is applied to three different genetic data sets: global human genetic diversity, breast tumour gene expression and Dengue virus serotypes. These applications showcase this statistical framework's ability to answer diverse biological questions in the high dimension low sample size scenario while adapting to the specificities of the different datatypes.     

The role of social support in the psychological well-being of African American girls who experience dating violence victimization

The goals of this study were to test the relationship between dating violence victimization (i.e., verbal, emotional, and physical abuse) and psychological well-being (i.e., depressive symptomatology, self-esteem, and body image) among 522 African American girls, and to determine whether social support acted as a buffer of negative effects (moderator) or as an intervening factor (mediator) in the relationship between dating violence victimization and psychological well-being. Results from structural equation modeling indicated that dating violence victimization was associated with negative psychological outcomes. Although social support did not moderate this relationship, it served as a mediator of the relationship between dating violence victimization and psychological well-being. Dating violence programs for African American girls should consider how to incorporate family, church, and other networks in the community to foster support, and allow adolescent girls to discuss their abusive experiences in a nonblaming environment. If programs are able to buoy girls who experience dating violence, then they may be able to ameliorate the associated negative psychological sequelae.