Cognitive Sociology in France

While cognitive sociology is a relatively new area in U.S. sociology, the subfield has a lengthy history in French sociology. Developing a typology based upon the existing literature, we identify three branches of cognitive sociology in France. The first was initiated by Raymond Boudon, one of the scholars most responsible for popularizing the area, who envisioned cognitive sociology as helping delineate the role of beliefs in rational action. Second, another group of researchers seeks to found sociology upon a naturalistic basis, thus drawing upon the disciplines constitutive of cognitive science (e.g., psychology, cognitive neuroscience, and cognitive anthropology). Finally, the third approach to cognitive sociology in France takes inspiration from linguistics as a foundation for sociological investigations. We conclude the paper by discussing the relationship between these three sub-fields and by examining the relationship between French and American cognitive sociologies in order to identify fruitful directions for future research.     

Footprints in the Sand: Personal,Psychological, and Relational Profiles of Religious,Spiritual, and Atheist LGB Individuals

The present study offers a comparison of the demographic features and lived experiences of lesbian, gay, and bisexual (LGB) individuals with religious, spiritual, or atheist (R/S/A) belief systems. In this sample of 212 participants, the relationship of participants’ R/S/A beliefs to personal variables (e.g., age, gender, race), mental health variables (e.g., life satisfaction, psychological distress, internalized heterosexism, self-esteem), and relational variables (e.g., outness, connection to LGBTQ communities) were assessed. Correlational analyses indicated that level of R/S/A belief was unrelated to self-esteem, life satisfaction, or psychological distress; however, greater religious belief was correlated positively and significantly with internalized heterosexism and outness as LGB. To test the interactions of R/S/A beliefs and categorical variables of interest (e.g., race), log-linear analyses with follow-up chi-square tests were conducted. Findings suggested more similarities than differences for LGB people across R/S/A systems of belief. Limitations and implications for future research are discussed.     

Using Dialogic Principles on Websites

This research reports the results of the analysis of public benefit organization (PBO) websites as places for encouraging dialogic relationships with key members of the public. Using a modified Kent and Taylor's (1998) dialogic principle, we conducted a content analysis of 367 PBOs in Poland. The results suggest that analyzed organizations only marginally use the five principles of dialogic communication on their websites. The studies have identified only a few organizations, which have websites characterized as having a high level of dialogic potential. Websites usually contained only some elements, which gave them the appearance of a digital information brochure. In addition, the results indicate that website dialogic potential is significantly influenced by the amount of revenue and the extent of the organization. The higher the revenue and geographic service area, the greater the dialogic potential of websites is as well.     

Evaluating Probabilistic Forecasts with Bayesian Signal Detection Models

We propose the use of signal detection theory (SDT) to evaluate the performance of both probabilistic forecasting systems and individual forecasters. The main advantage of SDT is that it provides a principled way to distinguish the response from system diagnosticity, which is defined as the ability to distinguish events that occur from those that do not. There are two challenges in applying SDT to probabilistic forecasts. First, the SDT model must handle judged probabilities rather than the conventional binary decisions. Second, the model must be able to operate in the presence of sparse data generated within the context of human forecasting systems. Our approach is to specify a model of how individual forecasts are generated from underlying representations and use Bayesian inference to estimate the underlying latent parameters. Given our estimate of the underlying representations, features of the classic SDT model, such as the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC), follow immediately. We show how our approach allows ROC curves and AUCs to be applied to individuals within a group of forecasters, estimated as a function of time, and extended to measure differences in forecastability across different domains. Among the advantages of this method is that it depends only on the ordinal properties of the probabilistic forecasts. We conclude with a brief discussion of how this approach might facilitate decision making.     

Social Sources of Community Solidarity in U.S. Congregations

Community solidarity, or a collective sense of belonging, plays a vital role in the health and survival of many organizations. Consequently, identifying the elements that contribute to a strong sense of solidarity within communities has long been a topic of inquiry for scholars. In this study, we draw upon prior theorizing to develop and test four hypotheses regarding the organizational characteristics associated with community solidarity in religious congregations. Multivariate models are estimated using national data on religious congregations from the 2001 U.S. Congregational Life Survey (n?=?357). Organizations with greater community solidarity tend to feature higher levels of social capital (operationalized with measures of friendship networks and participation in organizational activities), higher levels of official membership within the organization, and inspiring congregational leadership. Higher levels of commitment are associated with greater community solidarity, but the effect is wholly mediated by social capital. Congregations that engender higher levels of community solidarity share certain organizational features, including higher levels of social capital, higher rates of membership, and inspiring leaders.     

Can Demographic Variables Predict Lottery and Pari-mutuel Losses? An Empirical Investigation

Using data from the 2004 and 2005 Consumer Expenditure Surveys (CES) comprising of 15,000 respondents, this study examines two research questions. The first of these considers the demographic differences between households whose members lose money playing the lottery and/or engaging in pari-mutuel betting and those whose members do not lose money participating in such activities. The second assesses demographic differences among households whose members lose money playing the lottery and/or engaging in pari-mutuel betting. It was found that respondents living in money-losing households are slightly older, better off financially, more likely to be married or divorced, more likely to live in a state with at least one legal casino and more likely to live in the Northeast than respondents living in non-money-losing households. Among those living in money-losing households, the least wealthy and African American respondents are more likely to lose a higher proportion of their respective incomes purchasing lottery tickets and engaging in pari-mutuel betting than wealthier respondents and whites.     

Implementing a Multidimensional Poverty Measure Using Mixed Methods and a Participatory Framework

Recently, there have been advances in the development of multidimensional poverty measures. Work is needed however on how to implement such measures. This paper deals with the process of selecting dimensions and setting weights in multidimensional poverty measurement using qualitative and quantitative methods in a participatory framework. We estimate the multidimensional poverty measures developed by Alkire and Foster for a particular group: persons with psychiatric diagnoses in the United States. To select relevant dimensions and their relative ordering, two discussion groups are convened: one consisting of persons with lived-experience expertise and the other consisting of people with mental health service provision or research expertise. Several methods are used to convert dimension rankings into weights. The selection and ordering of dimensions differed between the two discussion groups, as did the resulting poverty measures. For instance, the poverty headcount using the dimensions and weights of the ‘lived experience’ group ranged from 20.61 to 26.96% as compared to a range of 18.62–33.19% using those of the ‘provider/researcher’ group. One of the main results of this study is that the Alkire Foster method is sensitive to the selection of dimensions and the methods used to derive rankings and weights. It points toward the limitation of relying exclusively on small scale qualitative methods for the selection and ranking of dimensions. In addition, the participatory framework used in this study was found to be essential in interpreting results, in particular with respect to the limitations of the data set in measuring relevant dimensions.     

Cost-effectiveness analysis of the New South Wales adult drug court program

In New South Wales, Australia, a cost-effectiveness evaluation was conducted of an adult drug court (ADC) program as an alternative to jail for criminal offenders addicted to illicit drugs. This article describes the program, the cost-effectiveness analysis, and the results. The results of this study reveal that, for the 23-month period of the evaluation, the ADC was as cost-effective as were conventional sanctions in delaying the time to the first offense and more cost-effective in reducing the frequency of offending for those outcome measures selected. Although the evaluation was conducted using the traditional steps of a cost-effectiveness analysis, because of the complexity of the program and data limitations it was not always possible to adhere to textbook procedures. As such, each step involved in undertaking the cost-effectiveness analysis is discussed, highlighting the key issues faced in the evaluation.     

FATHERS’ USE OF LEAVE IN AUSTRALIA

This paper examines Australian fathers’ use of leave at the time of the birth of a child, drawing on data from The Parental Leave in Australia Survey, conducted in 2005, and a subsequent organizational case study. Our analysis shows that although most Australian fathers take some leave for parental purposes, use of formally designated paternity or parental leave is limited. This is unsurprising given the Australian policy framework, which lacks legislative provision for paid paternity or parental leave, and does not require any of the shared unpaid parental-leave entitlement to be reserved for fathers. Use of leave is shown to be influenced primarily by fathers’ employment characteristics, with those working in small organizations or non-permanent positions least likely to utilize paternity or other forms of leave. Overall, the analysis suggests that improvements in the policy framework would increase Australian fathers’ propensity to take parental leave, but highlights barriers to usage associated with labour market divisions and career pressures that will not be solved solely by the adoption of more progressive leave policies.