Chinese Beliefs in Luck are Linked to Gambling Problems via Strengthened Cognitive Biases: A Mediation Test

Problematic patterns of gambling and their harms are known to have culturally specific expressions. For ethnic Chinese people, patterns of superstitious belief in this community appear to be linked to the elevated rates of gambling-related harms; however, little is known about the mediating psychological mechanisms. To address this issue, we surveyed 333 Chinese gamblers residing internationally and used a mediation analysis to explore how gambling-related cognitive biases, gambling frequency and variety of gambling forms (‘scope’) mediate the association between beliefs in luck and gambling problems. We found that cognitive biases and scope were significant mediators of this link but that the former is a stronger mediator than the latter. The mediating erroneous beliefs were not specific to any particular type of cognitive bias. These results suggest that Chinese beliefs in luck are expressed as gambling cognitive biases that increase the likelihood of gambling problems, and that biases that promote gambling (and its harms) are best understood within their socio-cultural context.     

The Sexual Health of Transgender Men: A Scoping Review

There is a general paucity of research concerning the sexual health of transgender individuals, and most existing research focuses on transgender women. A scoping review concerning the sexual health of transgender men was conducted to identify gaps in the literature and to highlight opportunities for future research and intervention. A comprehensive search of seven databases was conducted. The Joanna Briggs Institute Reviewers’ Manual was used as a framework. Some 7,485 articles were initially identified using a search strategy applied to seven online databases: 54 articles were identified as relevant to the research questions and reviewed in detail; of those, 33 were included in the final analysis. Studies were conceptualized into four broad themes: sexual behaviors, sexual identity, sexual pleasure and sexual function, and transactional sex. Besides an overall lack of research, existing studies were often characterized by small convenience samples that do not allow for generalization to the larger population of transgender men. Significant gaps in the literature regarding sexual coercion, sexual and intimate partner violence, and relationship quality and functioning among transgender men exist. There is a need to improve the scope and depth of research examining the sexual health of this population, especially concerning sexual risk behaviors and structural barriers to sexual health care access.     

ENDOWMENTS,PERCEIVED SIMILARITY,AND DICTATOR GIVING

A common assumption of money is that it is fungible. An implication of this assumption is that the source of money does not affect economic decision making. We find evidence contradicting this fungibility assumption. Specifically, we explore how the perception of an endowment source influences amounts sent in a dictator game. We find perceived similarity to the endowment provider to be negatively correlated with dictator offers. Dictators who consider themselves relatively more similar to their endowment provider send significantly smaller amounts to their partners. Our results demonstrate that economic decision making can be influenced by the provider of income shocks. (JEL C78, C91, C99, D31, D64, D74)     

Family is NOT an institution: distinguishing institutions from organisations in social science and social theory

This paper addresses the use, and potential misuse, of the ‘institution’ as a key concept in sociology. The concept of the ‘institution’ is interrogated using ‘family’ as an example and new institutional economics (NIE) as a crucible. The sociological understanding of family as an ‘institution’ is challenged by the distinction between ‘institutions’ and ‘organisations’ in NIE. The blurring of generic non-sociological terms with critical sociological concepts causes confusion between institutions and organisations. This is highly problematic for understanding social change in increasingly complex systems. I conclude that the contextual embedding of sociological concepts remains important to the appropriate use of the term ‘institution’ in the social sciences.     

“Opening the door”: developing and pilot testing an adult protective services worker engagement training in New York city

About 10% of Americans over the age of 60 experience elder abuse (EA), but EA is frequently under detected. As the primary responders for alleged EA cases, Adult Protective Service (APS) caseworkers are ideally positioned to improve detection and intervention. The Opening the Door (OTD) training was developed in a multidisciplinary setting and designed in collaboration with APS workers to enhance their engagement skills in potential EA cases and thus maximize the possibility of disclosure. Rooted in a relational approach and utilizing adult learning theory, it is divided into three main topics: Preparing for Engagement, Engagement Practice, and Processing Engagement. The eight-hour training was piloted with three groups of urban APS caseworkers with a wide range of work experience. Pre- and post-tests and case reflections indicate a positive impact on caseworkers' sense of self-efficacy, while focus groups indicate the necessity for ongoing provision of trainings and development of additional supports for APS caseworkers. Future work could further explore the efficacy of the training and expand its reach.     

Communicating with children. One neighbor's view

Through play, children express feelings of anger, fear, and helplessness. Caring adults who understand the meaning of such play can help children in their efforts to cope with difficult situations, including life-threatening illnesses.     

Semi-parametric analysis of multi-rater data

Datasets that are subjectively labeled by a number of experts are becoming more common in tasks such as biological text annotation where class definitions are necessarily somewhat subjective. Standard classification and regression models are not suited to multiple labels and typically a pre-processing step (normally assigning the majority class) is performed. We propose Bayesian models for classification and ordinal regression that naturally incorporate multiple expert opinions in defining predictive distributions. The models make use of Gaussian process priors, resulting in great flexibility and particular suitability to text based problems where the number of covariates can be far greater than the number of data instances. We show that using all labels rather than just the majority improves performance on a recent biological dataset.     

Estimation for High‐Dimensional Linear Mixed‐Effects Models Using ℓ1‐Penalization

Abstract. We propose an ?₁‐penalized estimation procedure for high‐dimensional linear mixed‐effects models. The models are useful whenever there is a grouping structure among high‐dimensional observations, that is, for clustered data. We prove a consistency and an oracle optimality result and we develop an algorithm with provable numerical convergence. Furthermore, we demonstrate the performance of the method on simulated and a real high‐dimensional data set.