“To get the word out”: LGBTQ+ Young adults’ motivations for participating in qualitative research studies

Understanding why socially marginalized individuals, such as lesbian, gay, bisexual, transgender and/or queer (LGBTQ+) people, participate in research can improve qualitative research designs, as well as social services and policies. In providing a participant-centered foundation, we interviewed 65 LGBTQ+ young adults and asked “Why are certain LGBTQ+ young adults motivated to engage in qualitative social science studies?” Many LGBTQ+ young people said they were committed to enacting social change and promoting advocacy. Participants also highlighted supporting scientific research and knowledge production. Finally, LGBTQ?+ participants engaged with research to introspectively analyze their identity development processes. These findings can facilitate access to socially vulnerable and underrepresented groups through a methodological focus on participant benefits.     

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.     

The Epistemic Culture of Homebrewers and Microbrewers

Homebrewing and microbrewing have been growing in popularity during the last few decades. One way this phenomenon can be analyzed is through the culture of knowledge production. We use the subfield of science and technology studies (STS) to examine homebrewing and microbrewing in this light. Early STS was interested in the social construction of scientific facts within daily practices of scientists. Through these early studies, STS revealed not only the process of scientific fact creation but also existence of “epistemic cultures.” Our study investigates the epistemic culture of homebrewers and microbrewers. Analysis of this epistemic culture was accomplished through use of in-depth interviews with homebrewers and microbrewers at several regional sites. Three major themes emerged from the data: home space as lab; the art and science of beer brewing; and brewing as “friendship”. These themes establish a foundation for understanding the shared epistemic culture existing between homebrewers and microbrewers.     

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.     

Mother-child communication about sexual abuse prevention

Two hundred and twelve Australian mothers completed an online survey examining features of mother-child communication about child sexual abuse prevention. Two-thirds (67.5%) of respondents had discussed child sexual abuse prevention with their children, with proportions varying according to age range (highest for mothers with children aged 5-12 years) and only-child status (lowest for mothers of only children). The number of topics discussed with their children differed according to child gender (greater number of topics discussed by mothers with both girls and boys) and age range (greater number of topics discussed by mothers with children aged 5-12 years). These findings provide new insights into mother-child communication about child sexual abuse prevention.     

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.