Variation within households in consent to link survey data to administrative records: evidence from the UK Millennium Cohort Study

This study expands our knowledge of consent in linking survey and administrative data by studying respondents’ behaviour when consenting to link their own records and when consenting to link those of their children. It develops and tests a number of hypothesised mechanisms of consent, some of which were not explored in the past. The hypotheses cover: parental pride, privacy concerns, loyalty to the survey, pre-existing relations with the agency holding the data, and interviewer effects. The study uses data from the longitudinal Millennium Cohort Study to analyse the correlates of consent in multiple domains (i.e. linkage of education, health and economic records). The findings show that respondent’s behaviour vary depending on the consent domain and on the person within the household for whom consent is sought. In particular, the cohort member’s cognitive skills and the main respondent’s privacy concerns have differential effects on consent. On the other hand, loyalty to the survey proxied by the longitudinal response history has a significant and strong impact on consent irrespective of the outcome. The findings also show that interviewers account for a large proportion of variations in consent even after controlling for the characteristics of the interviewer’s assignment area. In total, it is possible to conclude that the significant impact of some of the correlates will lead to sample bias which needs to be accounted for when working with linked survey and administrative data.     

A new model of foreign media sense-making

This paper introduces a new model to represent how individuals can develop a deepened understanding of both a foreign culture and of their own culture as a result of viewing and engaging with foreign media, and in particular foreign films and television series. The model emerged from data collected in a study of how Chinese university students based in China make sense of films and television series produced in the USA and the UK. The study involved a series of semi-structured interviews during which the students were shown clips from a number of films and television series. Five categories of sense-making activities emerged from the data, together with a number of variables, which influenced the activities, and a number of levels on which the activities could be performed. The proposed model captures all of these aspects.     

Citizenship and power in an agent-based model of tax compliance with public expenditure

In this paper we present a model of tax compliance with heterogeneous agents who maximize their individual utility based on income and the conjectured level of per capita public expenditure. We formally include psychological drivers in this model. These drivers affect individual behavior, such as risk aversion, together with appreciation of public expenditure, expectations about peers’ compliance and a natural inclination to comply, all of which we summarize in a quality termed “citizenship”. The enforcement system, based on random inspections, is standard and only partially known to agents.The agent-based model is simulated under a variety of settings, representing different “societies”. We use the artificial data produced by the model to estimate the effects of taxpayers’ traits on personal tax behavior and to build a compliance societal slippery slope. At the individual level, we find a positive dependence of compliance on all variables, with the significant exception of the tax rate, which has a negative impact. As far as societies are concerned, we show how aggregate tax compliance depends on composite indices of citizenship and power, and we find that the former is more important than the latter.     

Behavioral dynamics of tax evasion – A survey

Since the 1950s (Schmölders, 1959) it is well known that behavioral aspects have an influence on tax evasion or tax compliance. In particular, interactions among the various entities involved in the taxation process (e.g. taxpayers, law makers, tax practitioners, tax authorities, etc.), and the dynamics that these interactions may generate, seem to play an important role for the actual level of tax compliance. However, the mainstream neoclassical approach to tax evasion (Allingham & Sandmo, 1972) cannot account for such interactions and dynamics. Therefore, during the last two decades new approaches (e.g. lab experiments, agent-based modeling, etc.) have been developed with a view to model how behavioral dynamics may foster or prevent tax evasion. In addition, empirical evidence has been generated that supports a role for such interaction dynamics. In this contribution we survey the main developments in this research area and provide some suggestions for further research.     

Longitudinal network models and permutation-uniform Markov chains

Consider longitudinal networks whose edges turn on and off according to a discrete-time Markov chain with exponential-family transition probabilities. We characterize when their joint distributions are also exponential families with the same parameter, improving data reduction. Further we show that the permutation-uniform subclass of these chains permit interpretation as an independent, identically distributed sequence on the same state space. We then apply these ideas to temporal exponential random graph models, for which permutation uniformity is well suited, and discuss mean-parameter convergence, dyadic independence, and exchangeability. Our framework facilitates our introducing a new network model; simplifies analysis of some network and autoregressive models from the literature, including by permitting closed-form expressions for maximum likelihood estimates for some models; and facilitates applying standard tools to longitudinal-network Markov chains from either asymptotics or single-observation exponential random graph models.     

Modeling Repeatable Events Using Discrete‐Time Data: Predicting Marital Dissolution

I join two methodologies by illustrating the application of multilevel modeling principles to hazard‐rate models with an emphasis on procedures for discrete‐time data that contain repeatable events. I demonstrate this application using data taken from the 1995 National Survey of Family Growth (NSFG) to ascertain the relationship between multiple covariates and risk of subsequent marital dissolution. I consider both fixed‐ and random‐effects versions of the multilevel model, as well as a Generalized Estimating Equation alternative to estimating random effects. I compare results obtained from the various estimators, noting why differences occur, and recommend when to choose the various alternatives. I also provide a set of SAS and STATA programs that can be used to analyze the NSFG data.     

Public Life in Gulfton: Multiple Publics and Models of Community Organization

Summary

Based on a case study of six community organizations in the Gulfton neighborhood in Houston, Texas, this paper proposes that community organization models need to consider that highly diverse and often contentious community efforts within a single community represent well the context of life in contemporary heterogeneous urban neighborhoods. Despite reservations, we find this diversity of organizational efforts and even the tensions among them generally positive, as they often reflect the most vibrant forms of public life in our otherwise privatizing world. Rethinking the diversity of community organizations as multiple publics in a privatizing context provides new openings for the importance and value of community organization within schools of social work and the larger society.     

Toward a Hybrid Model for Effective Organizing in Communities of Color

This paper examines the feminist and Alinsky approaches to community organizing, both of which have had great impact on the field of organizing. Viewing the two models as flexible and interflowing, the authors then propose a hybrid organizing model that draws from the strengths of both approaches. The model also calls for continual assessment of the changing organizing context and flexibility to change the blend of strategies according to the needs of the moment. Finally, the paper looks at how the dynamics of race and ethnicity affect organizing in communites of color, and discusses the usefulness of the proposed model in dealing with these dynamics.     

The Revitalization of Community Practice: Characteristics,Competencies, and Curricula for Community-Based Services

Abstract

A recent move toward community-based services on the part of direct service agencies presents a major opportunity for the revitalization of community practice. Driven by funding from major philanthropic foundations and also by recent changes in federal entitlement legislation, these efforts at system reform are designed to make services for vulnerable populations more effective, accessible, integrated, and comprehensive in the context of the local community. Although this service reorganization requires the type of methods typically found in community practice, direct service workers employed in these agencies usually have not been trained in community work. To begin to address this concern, this article uses a computerized word search to review the community practice and community organization literature. A working definition of “community-based” practice is developed. The extensive literature review yields six characteristics of community-based service delivery: (1) neighborhood-based and family-focused; (2) strengths- and empowerment-oriented; (3) cultural sensitivity and multi-cultural competency; (4) comprehensive services; (5) access to integrated services and supports; and (6) teamwork and leadership skills. The article reviews what scholars have recommended in each of these areas as a way of understanding the characteristics of community-based service delivery and the skills needed by direct practitioners working in community-based programs. The article summarizes innovative curricula and specific courses which demonstrate ways of teaching community skills to direct practice workers. Future work for community practice scholars and educators is recommended.     

Multicultural Content in Social Work Graduate Programs

ABSTRACT

This paper reports the results of a national survey of Deans and Directors of graduate social work programs and of social work faculty responsible for teaching graduate-level multicultural courses. The findings indicate the use of a combined infusion and designated course model is the most prominent in addressing the CSWE diversity curriculum content requirement. Although there is substantive content on traditionally oppressed minority populations, there is an increasing number of groups and topics under the banner of diversity. There is heavy reliance on traditional teaching methods and little consistency in the educational resources used to teach the courses. The demographic composition and perceptions of social work faculty who teach multicultural courses are reported. The implications of the findings are discussed.