Supporting the allocation of software development work in distributed teams with multi-criteria decision analysis

In the fast moving software industry, projects have been increasingly developed by distributed teams, which are located in geographically remote offices and collaborate using information communication technologies. In such environments, project distribution presents specific challenges, as work in distributed teams increases project technical complexity, communication lines multiply and stakeholders’ interests may be divergent. Despite the importance and complexity of this type of problem, it seems that there is a lack of reports, in the literature, of systems that could support these decisions. This paper presents a real-world case study, where we developed a multi-criteria model for supporting the distributed team work allocation decision for a major global software company. It was developed with a group of software development project managers, using decision conferencing and multi-attribute value analysis. The model deals not only with software engineering attributes, but also “soft” and strategic issues, like team satisfaction and training opportunities. We also discuss some issues and challenges faced during this modelling process.     

Child care outcomes: economic perspectives and issues

Economics starts with the observation of widespread scarcity and the consequent need for choices about resource allocation. Common criteria for such choices are economy, effectiveness, efficiency and equity. This paper defines these criteria and locates them within a conceptual framework (the ‘production of welfare’). It also examines some of the reasons for the growth in interest in them. The main modes of evaluation—cost-benefit, cost-effectiveness, cost-utility and cost-consequences analyses—are described and illustrated. Few such evaluations have been conducted in child care, and the paper ends with speculation as to why this is so.     

Educational responses to immigrant students in Madrid

During the last few years, changes in the Spanish educational system have had a far reaching impact. Several factors have been critical: (1) the progressive decentralization of education by the government, now a responsibility of regional governments; (2) the extension of compulsory education to the age of 16; and finally (3) the increase in the number of immigrant students, which has significantly added to the existing cultural diversity. The enrolment of immigrant students in Spanish schools is a relatively recent phenomenon (starting 15 years ago) when compared with other European countries. Madrid is the region in Spain with the largest number of students. As most of these students were born outside of Spain, we cannot yet speak of a second generation. The research described here investigated how the educational system in Madrid confronted the challenge of an increasing number of immigrant students. The institutional response was the Madrid Regional Government’s Compensatory Education Regional Plan. This encompasses several measures, which are described here. After a critical analysis of educational policies pertaining to immigrant pupils, the paper suggests ways of overcoming a purely compensatory approach. Intercultural education plays a key role is such considerations.     

The analysis of age-specific fertility patterns via logistic models

In this paper, we introduce logistic models to analyse fertility curves. The models are formulated as linear models of the log odds of fertility and are defined in terms of parameters that are interpreted as measures of level, location and shape of the fertility schedule. This parameterization is useful for the evaluation, and interpretation of fertility trends and projections of future period fertility. For a series of years, the proposed models admit a state-space formulation that allows a coherent joint estimation of parameters and forecasting. The main features of the models compared with other alternatives are the functional simplicity, the flexibility, and the interpretability of the parameters. These and other features are analysed in this paper using examples and theoretical results. Data from different countries are analysed, and to validate the logistic approach, we compare the goodness of fit of the new model against well-known alternatives; the analysis gives superior results in most developed countries.     

World Culture,Uncoupling, Institutional Logics,and Recoupling: Practices and Self‐Identification as Institutional Microfoundations of Political Violence

This study proposes a micro‐institutional theory of political violence, according to which citizens' participation in political violence is partially an outcome of tight coupling of persons' practices and self‐identifications with institutional logics opposed to dominant logics associated with world culture, such as the nation‐state and gender equality. The study focuses on two types of institutional carriers through which persons adopt institutional logics: routine practices and self‐identifications associated with three institutional logics: the familial, the ethnic, and the religious logics. Using a 15‐country survey data from early twenty‐first‐century sub‐Saharan Africa, the study finds evidence in support of the theory. Reported participation in political violence is associated with practices and self‐identifications uncoupled from dominant world‐culture logics but tightly coupled with the patriarchal familial logic, with an oppositional ethnic logic, and with a politicized oppositional religious logic.     

Likelihood analysis for a class of beta mixed models

Beta regression is a suitable choice for modelling continuous response variables taking values on the unit interval. Data structures such as hierarchical, repeated measures and longitudinal typically induce extra variability and/or dependence and can be accounted for by the inclusion of random effects. In this sense, Statistical inference typically requires numerical methods, possibly combined with sampling algorithms. A class of Beta mixed models is adopted for the analysis of two real problems with grouped data structures. We focus on likelihood inference and describe the implemented algorithms. The first is a study on the life quality index of industry workers with data collected according to an hierarchical sampling scheme. The second is a study assessing the impact of hydroelectric power plants upon measures of water quality indexes up, downstream and at the reservoirs of the dammed rivers, with a nested and longitudinal data structure. Results from different algorithms are reported for comparison including from data-cloning, an alternative to numerical approximations which also allows assessing identifiability. Confidence intervals based on profiled likelihoods are compared with those obtained by asymptotic quadratic approximations, showing relevant differences for parameters related to the random effects. In both cases, the scientific hypothesis of interest was investigated by comparing alternative models, leading to relevant interpretations of the results within each context.     

Transitions to adulthood in contexts of economic crisis and post-recession. The case of Argentina

The possibilities that are available to youth in contemporary Western societies are highly sophisticated and related mostly to the transition between secondary school and higher education, the first job placement, independent housing, lifestyle construction and the consumption of goods produced by cultural industries in a globalist world. Secondary education represents a main factor in terms of socialisation, training, access to employment, citizenship and youth identity construction, making it a key for public policies aimed at youth in Latin America. The article presents the initial results of a research project on transition processes from secondary school to employment in Argentina. The findings are based on statistical information and the empirical analysis of data gathered in two very different economic and social contexts: the first was one of the worst social and economic crisis in the country's history (1999–2003), and the second was a long period of economic growth and increased social welfare (2004–2012). The data are presented in response to the following question: How do different economic contexts influence the transitions of youth in different social class contexts? By answering this question, the significant role of public policies in generating better living conditions for youth becomes clear.     

The Influence of Gender Equality on Volunteering Among European Senior Citizens

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This research analyzes how gender equality influences the participation of European senior citizens in a range of...     

Religion and the Rainbow Struggle: Does Religion Factor Into Attitudes Toward Homosexuality and Same-Sex Civil Unions in Brazil?

The provision of civil liberties to LGBT persons has become part of a global movement in societies across the world. In Brazil, a recent judicial ruling for the first time established the right for homosexual couples to enter into civil unions, despite the presence of widespread disapproval of homosexuality among the population and opposition from prominent religious groups. Picking up on this issue, the following study examines whether religion may factor into the attitudes Brazilians hold toward homosexuality and same-sex civil unions. Using data from the Brazilian Social Research Survey, we find that the most restrictive views toward homosexuality and the strongest opposition to same-sex civil unions are most prevalent among devoted followers of historical Protestant, Pentecostal, and Catholic faith traditions, whereas adherents of Afro-Brazilian and spiritist religions, as well as those with no religious commitment, are inclined to assume a more tolerant moral posture toward such issues. The findings point to religion as a potential influence in future public policy initiatives and social movements involving LGBT issues in Brazil.     

Political Psychology of Nonviolent Democratic Transitions in Southeast Asia

This research examined social psychological aspects of nonviolent democratic transitions in Southeast Asia at the close of the 20th century. Researchers interviewed prodemocracy activists who participated in the Philippines' People's Power Revolution, Cambodia's Dhammayietra (Buddhist Walk for Peace), and East Timor's peace and liberation movement. Sets of open-ended vernacular questions were custom-built to fit each country's unique transition to democracy. In addition, the author used as a data source her personal experiences in the Philippines as a leader of street politics during People's Power. Findings show similar social psychological factors across all three politically-transformative episodes in Southeast Asia. Shared characteristics include a history of systemic violence, loosening up of the authoritarian regime, violence toward the prodemocracy activists, spiritual orientations of social commitments, networking-mobilizing skills used to confront an authoritarian state, building a social infrastructure to produce massive force, and conscientizing for active nonviolence .