‘No,living well does not mean being rich’: Diverse understandings of well-being among 11–13-year-old children in three Ethiopian communities

Participatory research into how people living in material poverty define and experience well-being and ill-being is increasingly common in developed and developing countries. Such research highlights the importance of experiential aspects, such as being respected and able to preserve one's dignity, and having meaningful choices. Nevertheless, these findings rarely cover children's experiences and are often not contextualized or triangulated with other data. The paper will extend this exploration using data from qualitative research with a sub-sample of children aged 11–13 in three urban and rural communities, drawn from Young Lives, a long-term international research project investigating the changing nature of childhood poverty in four countries, including Ethiopia. Firstly, it addresses how understandings of a good life and what is needed to achieve one varies between communities and amongst children of different backgrounds living in those communities; for example, boys and girls and children from richer or poorer households. Secondly, the study examines how one's place in social relationships also contributes to how children perceive and understand what a good life is. The paper confirms the importance of allowing children to take at least a ‘partial role’ in measuring and monitoring their well-being (Ben-Arieh 2005, 575) and provides examples of how this might be done.     

Infants' Response to Maternal Mirroring in the Still Face and Replay Tasks

Infants' response to maternal mirroring was investigated in 4‐month‐old infants. Mother–infant dyads participated in the still face and replay tasks. Infants were grouped by those whose mothers did and did not mirror their behavior in the interactive phases of the tasks. In the still face task, infants with maternal mirroring showed more attention, smiling, and positive vocalizations across the phases, although both groups of infants demonstrated the still‐face effect with attention and smiling. Infants' social bidding to the mother during the still‐face phase correlated with mothers' mirroring behavior. In the replay task, infants with maternal mirroring demonstrated carryover effects with smiling; infants without maternal mirroring showed no awareness of change in their mothers' behavior. In both the still face and replay tasks, infants with maternal mirroring were more engaged with their mothers. Results suggest that maternal mirroring of infants' behavior affects infants' detection of, and response to, reciprocal interaction.     

Mixture of latent trait analyzers for model-based clustering of categorical data

Model-based clustering methods for continuous data are well established and commonly used in a wide range of applications. However, model-based clustering methods for categorical data are less standard. Latent class analysis is a commonly used method for model-based clustering of binary data and/or categorical data, but due to an assumed local independence structure there may not be a correspondence between the estimated latent classes and groups in the population of interest. The mixture of latent trait analyzers model extends latent class analysis by assuming a model for the categorical response variables that depends on both a categorical latent class and a continuous latent trait variable; the discrete latent class accommodates group structure and the continuous latent trait accommodates dependence within these groups. Fitting the mixture of latent trait analyzers model is potentially difficult because the likelihood function involves an integral that cannot be evaluated analytically. We develop a variational approach for fitting the mixture of latent trait models and this provides an efficient model fitting strategy. The mixture of latent trait analyzers model is demonstrated on the analysis of data from the National Long Term Care Survey (NLTCS) and voting in the U.S. Congress. The model is shown to yield intuitive clustering results and it gives a much better fit than either latent class analysis or latent trait analysis alone.     

Charting the Emergence of National Identity in Children in Wales

This multimodal study, set in Wales, demonstrates that children aged nine and ten can clearly define and rationalise their own national identity. It contributes to age related discussions on how children categorise themselves in terms of national identity and the rationale for their choices. The children in the study used single and multiple definitions of national identity and illustrate the increasing plural nature of 21st century Wales. Family, birthplace and residency were identified as factors in shaping their national identity, more so than language, despite the current bilingual policy drive in Wales.     

The Last Rogue of History: Picaresque Elements in Sasha Sokolov’s Palisandriia

This article takes a detailed look at the way in which the Habsburg Monarchy’s policy towards Serbia subtly shifted between 1881, when the Monarchy forced a secret treaty of alliance on the Serbian government, and the end of the Serbo-Bulgarian War of November 1885. Gustav von Kálnoky, the Austro-Hungarian foreign minister, inherited a policy largely shaped by his Hungarian predecessor, Count Gyula Andrássy, which relied on controlling Serbia through the person of its ruler, the wayward Milan Obrenovi?. The Austrophile and highly unpopular Milan, however, was a disastrous instrument of Austro-Hungarian control, and by the end of the Serbo-Bulgarian conflict, by which point Milan was pleading to be allowed to abdicate, Kálnoky had come to the conclusion that this “personal policy” was a failure, and that the Monarchy was better off relying on the outright coercion of Serbia. The article reconsiders some of the key stages in this development, in particular Andrássy’s memorandum of 24 November 1885, and Kálnoky’s reassessment of the value of the secret treaty of 1881, which depended solely on the guarantee of the Serbian monarch and, as a result, threatened to become worthless without his presence on the throne.     

Vulnerable young people and substance misuse: expanding on the risk and protection‐focused approach using social psychology

This paper critically reviews recent research exploring risk and protective factors for the development of problematic substance use in populations of young people. Specific populations of young people who are most vulnerable to developing problematic patterns of use are identified, and alterations to methods of data collection which would improve the ability of local authorities to monitor these populations and more efficiently target them for early preventative interventions are highlighted. It is argued that social‐psychological research techniques and approaches should be used to complement a risk and protection‐focused approach in order to improve the design and evaluation of interventions, and provide decision‐aids for practitioners when assessing the needs of vulnerable young people. Examples are provided to demonstrate the utility of social psychology in this regard, and the paper concludes with specific recommendations for future research and services. Copyright © 2009 John Wiley & Sons, Ltd.     

Causality and interdependence analysis in linear econometric models with an application to fertility

This paper is an applied analysis of the causal structure of linear multi-equational econometric models. Its aim is to identify the kind of relationships linking the endogenous variables of the model, distinguishing between causal links and feedback loops. The investigation is first carried out within a deterministic framework and then moves on to show how the results may change inside a more realistic stochastic context. The causal analysis is then specifically applied to a linear simultaneous equation model explaining fertility rates. The analysis is carried out by means of a specific RATS programming code designed to show the specific nature of the relationships within the model.     

The Caliban Codex: mud,blood and spurious issues

The internationally known and respected Cherokee Indian artist Jimmie Durham created the conceptual mixed-media installation The Caliban Codex in anticipation of the 1992 quincentennial Columbian celebrations that were held throughout the Americas. He used Shakespeare's The Tempest as a vehicle by which to critique colonialism's appropriation of language and its power to assert colonial authority. He also addressed physiognomy as it was employed during the nineteenth century in a pseudo-scientific endeavour to ‘prove’ the biological legitimacy of racism. In each case Durham employed the methods of mimicry and mockery to address the ambivalent relationship between the coloniser and the colonised as it continues to be experienced.     

A Comparison of Hierarchical Methods for Clustering Functional Data

Functional data analysis (FDA)—the analysis of data that can be considered a set of observed continuous functions—is an increasingly common class of statistical analysis. One of the most widely used FDA methods is the cluster analysis of functional data; however, little work has been done to compare the performance of clustering methods on functional data. In this article, a simulation study compares the performance of four major hierarchical methods for clustering functional data. The simulated data varied in three ways: the nature of the signal functions (periodic, non periodic, or mixed), the amount of noise added to the signal functions, and the pattern of the true cluster sizes. The Rand index was used to compare the performance of each clustering method. As a secondary goal, clustering methods were also compared when the number of clusters has been misspecified. To illustrate the results, a real set of functional data was clustered where the true clustering structure is believed to be known. Comparing the clustering methods for the real data set confirmed the findings of the simulation. This study yields concrete suggestions to future researchers to determine the best method for clustering their functional data.     

A Qualitative Analysis of College Women's Leaving Processes in Abusive Relationships

Abstract

Objective: This study assessed the process of leaving an abusive dating relationship utilizing a qualitative design. Methods: Participants included 123 college women in abusive dating relationships who participated at the beginning and end of a 10-week academic quarter. Results: Qualitative content analyses were used to analyze the transcribed responses to an open-ended question about women's leaving processes over the interim period. A variety of categories and themes emerged for women in different stages of the leaving process, consistent with the Transtheoretical Model of Change and Investment Model. Data also underscored women's lack of acknowledgment, minimization, and normalization of abuse. Conclusions: These data demonstrate the importance of dating violence intervention and prevention programming on college campuses and offer information that may be useful to college health providers who assist women in abusive dating relationships.