Reliability,Validity, and Cut Scores of the South Oaks Gambling Screen (SOGS) for Chinese

We examined the reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS) when adopted for use in Chinese. The DSM-IV criteria for pathological gambling served as the standard against which the classification accuracy of the SOGS was tested. A total of 283 Chinese adults in the community and 94 Chinese treatment-seeking gamblers were recruited. The internal reliability of the SOGS was satisfactory for the general sample and acceptable for the gambling sample. The SOGS was correlated with the DSM-IV criteria items as well as psychosocial and gambling-related problems. Relative to the DSM-IV criteria, the SOGS tended to overestimate the number of pathological gamblers in both samples. In general, we were relatively confident that individuals were not pathological gamblers if the SOGS scores were between 0 and 4 and were pathological gamblers if the SOGS were between 11 and 20. There was about 50–50 chance of being pathological gamblers if the SOGS scores were between 8 and 10. However, the probability of individuals being pathological gamblers was about 0.30 if the SOGS scores were between 5 and 7. We proposed a SOGS cut score of 8 to screen for probable pathological gambling in Chinese societies.     

The rising share of nonmarital births: Fertility choice or marriage behavior?

Much of the sharp rise in the share of nonmarital births in the United States has been attributed to changes in the fertility choices of unmarried and married women-in response, it is often argued, to public policy. In contrast, we develop and test a model that attributes the rise to changes in marriage behavior, with no necessary changes infertility. A variety of empirical tests strongly support this conclusion and invites focused attention to issues related to marriage behavior as well as to the interactions between marriage and fertility.     

Preventing Suicide: A Neglected Social Work Research Agenda

Social workers encounter suicidal clients; however, little isknown about social work’s empirical knowledge base forsuicide assessment and treatment. In the first comprehensivestudy of social work’s contribution to the suicide literature,the authors conducted systematic electronic and manual searchesfor suicide research published in peer-reviewed journals bysocial work investigators for the period 1980–2006, withthe purpose of ascertaining the state of clinical knowledgerelated to suicide risk factors and effective treatments. Thesefindings reveal that despite recent increases to the study ofsuicide by social work researchers, they have contributed limitedevidenced-based knowledge in the last twenty-six years on thetreatment or prevention of suicide or suicide-related behaviours.The article outlines the risk factors for suicide and discussesthe implications for clinical social work practice and research.     

Collaboration with Caveats: Research–Practice Exchange in Planning

Abstract

Researcher and practitioner collaboration in urban planning is both critical to good outcomes and problematic to achieve in reality. Collaboration has the potential for new partnerships, better research problem definition, improved research design and greater impact on practice and policy. However, politics, stakeholder agendas and funding bodies bring pressures and constraints, for which research professionals require a broader set of skills to manage. We examine researcher–practitioner collaboration as part of an action research project on urban greening in Australia. Focusing on a stakeholder engagement workshop, we examine the mechanisms used to overcome barriers to research-practice exchange. We find overt consideration of common barriers to access and use of research when planning collaboration exercises can help facilitate more productive engagement, creating spaces for mutual understanding and generating shared objectives. However, we also find that efforts at collaboration challenge traditional research practices, involve tensions and caveats, and require a different mode of researcher engagement.     

‘And what comes out may be a kind of screeching’: The stylisation of chavspeak in contemporary Britain

This paper discusses stylisations of chavspeak, the supposed language of the chav, a recently emergent and explicitly stereotyped figure that has been implicated in ‘the demonization of the working class’ ( Jones 2011 ). It argues that stylisations of chavspeak draw on a number of well‐established stereotypes of non‐standard Englishes in the British Isles, such that, rather than working as a representation of actual sociolinguistic innovation, chavspeak stylisations can primarily be seen as combinations of well‐recognised stereotypes. The suggestion is made that, in terms of providing a representation of variation at the first order of indexicality, the enregisterment of chavspeak is highly fragmented – a form from here and a form from there – but in terms of ideological force – intensifying sociolinguistic class stereotypes in accordance with the more general stereotype of the chav– there is a coherence. The intended humour of the stylisations is discussed as a feature that reinforces this ideological force, and the inclusion of stereotyped features of black Englishes is discussed as a possible emergent tendency in language ideologies in the British Isles.     

The Black-White Gap in Non Marital Fertility: Education and Mates in Segmented Marriage Markets

This study is the first to find that mate availability explains much of the race gap in non marital fertility in the United States. Both a general and an education-based metric have strong effects. The novel statistical power arises from difference-in-differences for blacks and whites, multiple cohorts, periods, and coefficient restrictions consistent with both the data and models in which differences in mate availability can induce blacks and whites to respond in opposite directions to changes in mate availability. Results are robust to several alternative specifications and tests and appear relevant where marriages are segmented along racial, religious, or other lines.     

A law of large numbers for weighted plurality

Consider an election between $k$ candidates in which each voter votes randomly (but not necessarily independently) for a single candidate, and suppose that there is a single candidate that every voter prefers (in the sense that each voter is more likely to vote for this special candidate than any other candidate). Suppose we have a voting rule that takes all of the votes and produces a single outcome and suppose that each individual voter has little effect on the outcome of the voting rule. If the voting rule is a weighted plurality, then we show that with high probability, the preferred candidate will win the election. Conversely, we show that this statement fails for all other reasonable voting rules. This result is an extension of one by Häggström, Kalai and Mossel, who proved the above in the case $k=2$ .     

Bayesian Stacked Parametric Survival with Frailty Components and Interval‐Censored Failure Times: An Application to Food Allergy Risk

To better understand the risk of exposure to food allergens, food challenge studies are designed to slowly increase the dose of an allergen delivered to allergic individuals until an objective reaction occurs. These dose‐to‐failure studies are used to determine acceptable intake levels and are analyzed using parametric failure time models. Though these models can provide estimates of the survival curve and risk, their parametric form may misrepresent the survival function for doses of interest. Different models that describe the data similarly may produce different dose‐to‐failure estimates. Motivated by predictive inference, we developed a Bayesian approach to combine survival estimates based on posterior predictive stacking, where the weights are formed to maximize posterior predictive accuracy. The approach defines a model space that is much larger than traditional parametric failure time modeling approaches. In our case, we use the approach to include random effects accounting for frailty components. The methodology is investigated in simulation, and is used to estimate allergic population eliciting doses for multiple food allergens.     

Using Bayesian analysis in repeated preclinical in vivo studies for a more effective use of animals

Whilst innovative Bayesian approaches are increasingly used in clinical studies, in the preclinical area Bayesian methods appear to be rarely used in the reporting of pharmacology data. This is particularly surprising in the context of regularly repeated in vivo studies where there is a considerable amount of data from historical control groups, which has potential value. This paper describes our experience with introducing Bayesian analysis for such studies using a Bayesian meta‐analytic predictive approach. This leads naturally either to an informative prior for a control group as part of a full Bayesian analysis of the next study or using a predictive distribution to replace a control group entirely. We use quality control charts to illustrate study‐to‐study variation to the scientists and describe informative priors in terms of their approximate effective numbers of animals. We describe two case studies of animal models: the lipopolysaccharide‐induced cytokine release model used in inflammation and the novel object recognition model used to screen cognitive enhancers, both of which show the advantage of a Bayesian approach over the standard frequentist analysis. We conclude that using Bayesian methods in stable repeated in vivo studies can result in a more effective use of animals, either by reducing the total number of animals used or by increasing the precision of key treatment differences. This will lead to clearer results and supports the “3Rs initiative” to Refine, Reduce and Replace animals in research. Copyright © 2016 John Wiley & Sons, Ltd.     

Transition,Connection, Disconnection,and Social Media: Examining the Digital Lived Experiences of Transgender Individuals

In light of persistent discrimination, many individuals who are transgender lack a safe space to connect with others. Social media has become a platform for establishing social ties, receiving education, and sharing of resources that may not otherwise be available to individuals on the margins of society. Yet little is understood about the role of social media in the lives of individuals who are transgender. In this qualitative study, the researchers examined the experiences of adults who are transgender (N = 5) who use social media. The current study also explored possible benefits and hindrances of social media for individuals who are transgender. Two main themes emerged: social media as a resource and a path to self and authenticity. The researchers encourage counselors to become familiar with various social networking sites and their privacy settings, and propose using a theoretical framework to guide counseling work with individuals who are transgender to reflect on social media connections and disconnections.