Quantitative Storytelling in the Making of a Composite Indicator

The reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures—which ultimately aim to ‘tell a story’, e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction. We thus explore whether a composite indicator can be built to tell ‘more than one story’ and test this in practical contexts. These include measures used in convergence analysis in the field of cohesion policies and a recent case involving the World Bank’s Doing Business Index. Our experiments are built to imagine different constituencies and stakeholders who agree on the use of evidence and of statistical information while differing on the interpretation of what is relevant and vital.

     

The Anatomy of ‘Free Choice’ Prostitution

This paper draws on an ethnographic study of a self-employed prostitute, her receptionists and her clients. It describes the prostitute's business and her working life, and considers the dynamics of power and control within the prostitute-client exchange. The paper argues that issues of control and consent in prostitution are more complex than many current feminist analyses suggest.     

Religious Nongovernmental Organizations: An Exploratory Analysis

This paper represents the first systematic attempt at an analysis of religious nongovernmental organizations (RNGOs). Largely ignored as an organizational field, RNGOs constitute a new breed of religious actors shaping global policy–an organizational hybrid of religious beliefs and social activism at local, national, and international levels. This paper proposes a definition of RNGOs, traces the emergence of RNGOs from an historical perspective, and situates them in their current religious and sociopolitical contexts. Drawing on interviews and documentary data from a sample of 263 United Nations-affiliated RNGOs, the author proposes an analytical framework to examine the religious, organizational, strategic, and service dimensions of these organizations. Religious nongovernmental organizations' unique contributions to the redefinition of a just society as well as the sociopolitical challenges arising from their religious identity are discussed.     

Robust testing with generalized partial linear models for longitudinal data

By approximating the nonparametric component using a regression spline in generalized partial linear models (GPLM), robust generalized estimating equations (GEE), involving bounded score function and leverage-based weighting function, can be used to estimate the regression parameters in GPLM robustly for longitudinal data or clustered data. In this paper, score test statistics are proposed for testing the regression parameters with robustness, and their asymptotic distributions under the null hypothesis and a class of local alternative hypotheses are studied. The proposed score tests reply on the estimation of a smaller model without the testing parameters involved, and perform well in the simulation studies and real data analysis conducted in this paper.     

Interpreting DNA Mixtures with Related Contributors in Subdivided Populations

Abstract.  In this paper, we study the statistical interpretation of forensic DNA mixtures with related contributors in subdivided populations. Compact general formulae for match probabilities are obtained for two situations: a relative of one tested person is an unknown contributor of a DNA mixture; and two related unknowns are contributors. The effect of kinship and population structure is illustrated using a real case example.     

Individualisation, choice and structure: a discussion of current trends in sociological analysis

In this paper we seek to explore a tendency in current sociological thought to highlight notions of choice and autonomy in writings about contemporary Western societies. We wish to draw attention to some of the consequences of leaving out discussions of the structural aspects of societies and people's lives, for individuals as well as for the development and application of sociological theory and its ability to understand the connection between history and individual biography. Our discussion is based on qualitative research that we have conducted in recent years, and draws on focus groups with young people in Norway and Britain. From this critique we seek to demonstrate how concepts that take account of context and structure as well individual subjectivities can create a better ‘fit’ with complex and diverse realties.     

Factor analysis for ranked data with application to a job selection attitude survey

Summary.  Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applications are restricted to item response data only. We extend the factor model to accommodate ranked data. The Monte Carlo expectation–maximization algorithm is used for parameter estimation at which the E-step is implemented via the Gibbs sampler. An analysis based on both complete and incomplete ranked data (e.g. rank the top q out of k items) is considered. Estimation of the factor scores is also discussed. The method proposed is applied to analyse a set of incomplete ranked data that were obtained from a survey that was carried out in GuangZhou, a major city in mainland China, to investigate the factors affecting people's attitude towards choosing jobs.     

Four‐Month Attentional Regulation and Its Prediction of Three‐Year Compliance

The extent to which 4‐month attentional regulation during an infant‐mother still‐face situation and 12‐month attachment security during the Strange Situation predicted rates of compliance and noncompliance during a cleanup task at 36 months was examined longitudinally in 70 infant‐mother dyads. Hierarchical multiple regression analyses indicated that infants who showed more attentional regulation during the still‐face situation with mothers later showed a higher rate of committed compliance and a lower rate of situational compliance during cleanup with mothers. Furthermore, lower levels of attentional regulation were later associated with higher rates of assertive behavior, but only for infants in an insecure attachment relationship.