A SOCIOLOGY FOR OUR TIMES: Alvin Gouldner's Message

For the St. Louis meeting of the Midwest Sociological Society, the author organized a special session to reflect on the particular sociological tradition associated with Washington University, with a particular focus on Alvin Gouldner's work. From that session came this symposium, for which various papers presented were developed into articles. The session and these articles raise important issues for what they tell us both about Gouldner's work and about where sociology is as a discipline today. Among these issues are (1) the optimistic quest for objective value-free knowledge positivism entailed in the past versus a self-reflexive quest for knowledge that entails a tragic acceptance of its limits at present, (2) the effort to distinguish social theory from sociology, ideology, and politics, with all of whom it overlaps as they strive to be both social diagnosis and social therapy, (3) the production of knowledge as dependent both on the lived experiences that shape our biographies and on the intellectual influences available in the local settings where we work, (4) the effort to warn us against the various excesses to which our disciplinary and personal commitments give way, and (5) the role social theory can play as a search light that illuminates our way in the darkness of the empirical world in which we live, while it simultaneously casts a shadow.     

Reunion Patterns in the Still‐Face Paradigm as Predicted by Maternal Sensitivity and Dyadic Coordination

Previous studies have suggested that the reunion episode of the still‐face procedure has the potential to reveal the regulatory resources of the mother–infant dyad that appear to be predictive of future adaptation. Nevertheless, differences across dyads with respect to these resources have received little attention, as also have the factors that are responsible for such differences. This study addresses this gap in the literature by testing whether the dyad reunion patterns can be predicted by the mothers' sensitivity assessed 3 months earlier, and by the contingent degree of the matched states in the play episode. Three dyadic patterns were identified through cluster analysis, which were characterized by playful, neutrally matched, and disrupted interactions. Multinomial logistic regression shows that the mothers' sensitivity predicts membership to the playful group, and the matched states in the play episode predict membership to the neutrally matched and disrupted groups. These findings show that the vulnerability to disrupt an ongoing interaction after a temporary perturbation is seen for only some dyads; moreover, they support the view of early regulatory development as a multidetermined achievement. Overall, these findings have important theoretical implications related to the identification of early regulatory difficulties as precursors of later developmental outcomes.     

Design of ISD-1: an instrument for social diagnosis in care homes for older persons*

This article describes the design process and main features of an instrument developed for use in the specialist area of intervention in care homes for older persons. The essential aim of ISD-1 (instrument for social diagnosis) is to permit the correct formulation of social diagnoses and to standardise and define the professional language used by social workers. Its content has been organised into 4 dimensions of social diagnosis, divided into 15 sub-dimensions containing 83 diagnostic categories. This work was performed in Spain, in the 24 care homes of the Madrid Social Care Agency of the Community of Madrid, involving the participation of the 40 social workers practising in these centres. ISD-1 is an easily understood and used tool, of potential use for social workers practising in care homes for older persons and capable of being adapted for use in other institutional environments, as well as being capable of adaptation and translation for its application in other countries.     

Executive remuneration in blockholder-dominated firms. How do Italian firms use stock options?

The aim of this study is to explore how stock options are used for executive remuneration in blockholder-dominated listed firms. By analysing how stock options granted to executive directors were designed, this paper sheds light on how stock options are used in Italian blockholder-dominated listed firms. Empirical evidence from a unique hand-collected dataset comprising stock options granted by Italian non-financial listed firms between 2004 and 2006 suggests that stock option design seems to be better explained by rent-extraction theory than by optimal contracting theory. Our results suggest that board independence, particularly in terms of minority shareholders?? representation, seems to have a positive influence on stock option design. These findings are consistent with rent-extraction theory: stock option designs that are not explained by optimal-contracting theory are likely to reflect governance/agency problems. This study provides insights on executive remuneration to policy-makers. It is recommended that codes of best practice should stress the importance of stock option design and of remuneration committees?? independence, in particular in terms of minority shareholders?? representation. Last but not least, this study points out the importance of enforcing substantial compliance with the codes?? recommendations.     

Dopamine Genes and Pathological Gambling in Discordant Sib-Pairs

Pathological gambling (PG) is an impulse control disorder that has been considered as a behavioral addiction. Recent studies have suggested the involvement of the dopaminergic system in addictions and impulse control disorders and associations of dopamine receptor genes (DRD1, DRD2, and DRD4) and PG have been reported. In the present study, 140 sib-pairs discordant for the diagnosis of PG (70 males and 70 females on each group) were recruited through the Gambling Outpatient Unit at the Institute of Psychiatry, University of Sao Paulo and were assessed by trained psychiatrists. A family-based association design was chosen to prevent population stratification. All subjects were genotyped for dopamine receptor genes (DRD1 -800 T/C, DRD2 TaqIA RFLP, DRD3 Ser9Gly, DRD4 48bp exon III VNTR, DRD5 (CA) repeat) and the dopamine transporter gene (SCL6A3 40 bp VNTR). Our results suggest the association of PG with DRD1 -800 T/C allele T (P = .03).     

Racial/ethnic and socio‐economic biases in child maltreatment severity assessment in Spanish child protection services caseworkers

Evidence from several countries has shown the over‐representation of racial/ethnic minority groups in child protection services (CPS). The objective of the present study was to explore whether racial/ethnic and socio‐economic biases influence Spanish CPS caseworkers' judgements of the severity of child maltreatment. Moreover, the study attempted to explore the influence on these judgements of the use of structured instruments and professional experience. Two case vignettes of child maltreatment were presented to 405 CPS caseworkers and 169 students of social work and psychology. Family ethnic origin and income were manipulated in the vignettes. The findings showed no statistical evidence of biases related to family ethnic origin or socio‐economic status (SES) in Spanish CPS caseworkers' judgements of maltreatment severity. Biases related to family SES were found for students for the vignettes of physical abuse. CPS caseworkers and students who did not use a structured instrument to assess maltreatment severity tended to underestimate the severity for the vignettes of parental incapacity to control child/adolescent behaviour and to overestimate it for the vignettes of physical abuse. CPS caseworkers who used a structured instrument showed higher percentages of accuracy and inter‐rater agreement, supporting the relevance of structured tools in reducing potential caseworkers' biases.     

Influence measure for the L1 regression

Because outliers and leverage observations unduly affect the least squares regression, the identification of influential observations is considered an important and integrai part of the analysis. However, very few techniques have been developed for the residual analysis and diagnostics for the minimum sum of absolute errors, L₁ regression. Although the L₁ regression is more resistant to the outliers than the least squares regression, it appears that outliers (leverage) in the predictor variables may affect it. In this paper, our objective is to develop an influence measure for the L₁ regression based on the likelihood displacement function. We illustrate the proposed influence measure with examples.     

The Gamma-count distribution in the analysis of experimental underdispersed data

Event counts are response variables with non-negative integer values representing the number of times that an event occurs within a fixed domain such as a time interval, a geographical area or a cell of a contingency table. Analysis of counts by Gaussian regression models ignores the discreteness, asymmetry and heteroscedasticity and is inefficient, providing unrealistic standard errors or possibly negative predictions of the expected number of events. The Poisson regression is the standard model for count data with underlying assumptions on the generating process which may be implausible in many applications. Statisticians have long recognized the limitation of imposing equidispersion under the Poisson regression model. A typical situation is when the conditional variance exceeds the conditional mean, in which case models allowing for overdispersion are routinely used. Less reported is the case of underdispersion with fewer modeling alternatives and assessments available in the literature. One of such alternatives, the Gamma-count model, is adopted here in the analysis of an agronomic experiment designed to investigate the effect of levels of defoliation on different phenological states upon the number of cotton bolls. Data set and code for analysis are available as online supplements. Results show improvements over the Poisson model and the semi-parametric quasi-Poisson model in capturing the observed variability in the data. Estimating rather than assuming the underlying variance process leads to important insights into the process.     

Small area estimation for longitudinal surveys

Over the last few years many studies have been carried out in Italy to identify reliable small area labour force indicators. Considering the rotated sample design of the Italian Labour Force Survey, the aim of this work is to derive a small area estimator which borrows strength from individual temporal correlation, as well as from related areas. Two small area estimators are derived as extensions of an estimation strategies proposed by Fuller (1990) for partial overlap samples. A simulation study is carried out to evaluate the gain in efficiency provided by our solutions. Results obtained for different levels of autocorrelation between repeated measurements on the same outcome and different population settings show that these estimators are always more reliable than the traditional composite one, and in some circumstances they are extremely advantageous.The present paper is financially supported by Murst-Cofin (2001) Lutilizzo di informazioni di tipo amministrativo nella stima per piccole aree e per sottoinsiemi della popolazione (National Coordinator Prof. Carlo Filippucci).