ICT,young people and social work: distances and opportunities

ABSTRACT

The relationship between social work and Information and Communication Technologies (ICTs) is an awkward one in Spanish tradition, particularly from social work perspective due to a certain lack of institutional and professional competence in terms of understanding the capabilities of ICTs. Young people use ICTs to connect to each other and express themselves, however. ICTs represent a means—increasingly the main one—for young people to build and communicate their own identities and understand reality. As with other social sciences, social work suffers from a difficult relationship with young people. Youth is often studied differently and sometimes perceived as a problem that ends when adulthood is reached. In this context, the relationship among ICTs, social work and young people is also a difficult one. But this problem may also be a solution. By adopting a critical ICT approach, social work can create innovative initiatives and frameworks to improve communication between social work practitioners and teachers as with young people and students. Imagination and empathy will clearly be key to achieving this, in addition to deeper involvement in the use of new software and applications that can offer enhanced communication and build bridges between social workers and young people.     

A doubly restricted exponential dispersion model

In this paper, we propose and develop a doubly restricted exponential dispersion model, i.e. a varying dispersion generalized linear model with two sets of restrictions, a set of linear restrictions for the mean response, and at the same time, for another set of linear restrictions for the dispersion of the distribution. This model would be useful to consider several situations where it is necessary to control/analyze drug-doses, active effects in factorial experiments, mean-variance relationships, among other situations. A penalized likelihood function is proposed and developed in order to achieve the restricted parameters and to develop the inferential results. Several special cases from the literature are commented on. A simply restricted varying dispersion beta regression model is exemplified by means of real and simulated data. Satisfactory and promising results are found.     

The Relationship of Birth Order and Gender with Academic Standing and Substance Use Among Youth in Latin America

Alfred Adler attempted to understand how family affects youth outcomes by considering the order of when a child enters a family (Adler, 1964). Adler's theory posits that birth order formation impacts individuals. We tested Adler's birth order theory using data from a cross-sectional survey of 946 Chilean youths. We examined how birth order and gender are associated with drug use and educational outcomes using three different birth order research models including: (1) Expedient Research, (2) Adler's birth order position, and (3) Family Size theoretical models. Analyses were conducted with structural equation modeling (SEM). We conclude that birth order has an important relationship with substance use outcomes for youth but has differing effects for educational achievement across both birth order status and gender.     

Do Rainfall Deficits Predict U.S.-Bound Migration from Rural Mexico? Evidence from the Mexican Census

Environmental and climatic changes have shaped human mobility for thousands of years and research on the migration-environment connection has proliferated in the past several years. Even so, little work has focused on Latin America or on international movement. Given rural Mexico’s dependency on primary sector activities involving various natural resources, and the existence of well-established transnational migrant networks, we investigate the association between rainfall patterns and U.S.-bound migration from rural locales, a topic of increasing policy relevance. The new economics of labor migration theory provides background, positing that migration represents a household-level risk management strategy. We use data from the year 2000 Mexican census for rural localities and socioeconomic and state-level precipitation data provided by the Mexican National Institute for Statistics and Geography. Multilevel models assess the impact of rainfall change on household-level international out-migration while controlling for relevant sociodemographic and economic factors. A decrease in precipitation is significantly associated with U.S.-bound migration, but only for dry Mexican states. This finding suggests that programs and policies aimed at reducing Mexico-U.S. migration should seek to diminish the climate/weather vulnerability of rural Mexican households, for example by supporting sustainable irrigation systems and subsidizing drought-resistant crops.     

Transformational leadership and job satisfaction of police officers (carabineros) in Chile: the mediating effects of group identification and work engagement / Liderazgo transformacional y satisfacción laboral en carabineros de Chile: los efectos mediadores de la identificación con el grupo y el work engagement

Abstract

The aim of this paper is to examine the relationship between transformational leadership and work satisfaction, as well as to analyse the mediating role of group identification and work engagement in a police training process at a Chilean professional military institution. The sample was made up of 985 candidates representing all the candidates that joined the units of the country in the different locations. Officers and non-commissioned officers acting as instructors were considered ‘leaders’, while their ‘followers’ were the young candidates in the training period. It was found that all the relevant variables were positively and significantly interrelated, and a model of structural equations revealed that both work engagement and group identification played a mediating role in the relationship between transformational leadership and work satisfaction.     

Social Security in Italy

The United States is confronting two simultaneous demographic shifts with profound implications for public policy: population aging and increasing diversity. These changes are accelerating during a dramatic economic downturn, placing entitlement reform prominently on the national policy agenda. Using decennial census data from 2000, this paper examines the nexus of these trends by examining characteristics of Latino baby boomers. In the census data, Latinos constituted 10% of the 80 million boomers; roughly one-third of Latino boomers (37%) were born in the United States or abroad to a U.S. parent; 6% were born in a U.S. territory; 21% were naturalized citizens; and 36% were noncitizens. Compared to non-Latinos, Latino baby boomers had lower levels of education, home ownership, and investment income and higher rates of material hardship and poverty; however, there was considerable variation based on citizenship status. A better understanding of Latino baby boomers will help policy makers anticipate the retirement needs of baby boomers as the United States prepares for the aging of a racially and ethnically diverse population.     

Comparative assessment of analytical approaches to quantify the risk for introduction of rare animal diseases: the example of avian influenza in Spain

Trade of animals and animal products imposes an uncertain and variable risk for exotic animal diseases introduction into importing countries. Risk analysis provides importing countries with an objective, transparent, and internationally accepted method for assessing that risk. Over the last decades, European Union countries have conducted probabilistic risk assessments quite frequently to quantify the risk for rare animal diseases introduction into their territories. Most probabilistic animal health risk assessments have been typically classified into one-level and multilevel binomial models. One-level models are more simple than multilevel models because they assume that animals or products originate from one single population. However, it is unknown whether such simplification may result in substantially different results compared to those obtained through the use of multilevel models. Here, data used on a probabilistic multilevel binomial model formulated to assess the risk for highly pathogenic avian influenza introduction into Spain were reanalyzed using a one-level binomial model and their outcomes were compared. An alternative ordinal model is also proposed here, which makes use of simpler assumptions and less information compared to those required by traditional one-level and multilevel approaches. Results suggest that, at least under certain circumstances, results of the one-level and ordinal approaches are similar to those obtained using multilevel models. Consequently, we argue that, when data are insufficient to run traditional probabilistic models, the ordinal approach presented here may be a suitable alternative to rank exporting countries in terms of the risk that they impose for the spread of rare animal diseases into disease-free countries.     

Measuring Social Cohesion: An Experiment using the Canadian National Survey of Giving,Volunteering, and Participating

Social cohesion is a concept difficult to define and to measure. As there can be many definitions, so there can be many measurements. The main problem, either in defining or measuring the concept, is its multilevel and multidimensional nature. At one extreme, country is the most commonly used level to view social cohesion but measurement at this level is of little use for any interventions. At the other extreme, community is the most useful level but it is a social construct for which data are difficult to get, given the administrative boundaries used in social surveys. As an initial attempt to measure social cohesion at a subcountry level, this study focuses on census metropolitan areas for which data on several dimensions of social cohesion are available. We use the information gathered by the National Survey on Giving, Volunteering and Participating (NSGVP) on three dimensions of social cohesion: political (voting and volunteering), economic (occupation, income, labour force participation) and social (social interactions, informal volunteering). Using statistical techniques including factor analysis and standardization, we create an overall index of social cohesion for each CMA. We point out use of this measure for further analysis of social dynamics.