Assessing the Need for Higher Levels of Care Among Problem Gambling Outpatients

Most treatment for gambling disorder is provided on an outpatient basis. Only a small number of jurisdictions in North America provide higher levels of gambling treatment, such as residential or intensive outpatient (IOP) care, despite the potential need for these services. Further, there appear to be few guidelines for determining appropriate level of gambling treatment. The aim of the present study was to assess the appropriateness of higher levels of problem gambling care among clients receiving outpatient treatment. Problem gamblers and their therapists independently completed questionnaires that assessed the need and desire for residential and IOP treatment. About 42% of problem gambling outpatients noted that they would be “probably” or “definitely” willing to attend residential treatment, and about half indicated they would be equally likely to attend IOP. Therapists recommended about a third of their clients as appropriate for higher levels of care. For both client and therapist assessments, there was a significant association between desire or recommendation for level of treatment and severity of gambling and co-occurring problems. Further, therapist recommendations for level of care were significantly associated with client willingness to attend higher levels of treatment. Our data reveal the potential need for higher levels of care for problem gambling, as evaluated by clients and their therapists. Policy implications for the funding of residential and IOP treatment are discussed.     

Heterogeneous climate effects on human migration in Indonesia

We examine the effect of anomalous temperatures, rainfall levels, and monsoon timing on migration outcomes in Indonesia. Using panel data from the Indonesian Family Life Survey and high-resolution climate data, we assess whether intra- and inter-province moves are used as a response to climatic shocks. We evaluate the relative importance of temperature, rainfall, and monsoon timing for migration. Only temperature and monsoon timing have significant effects, and these do not operate in the direction commonly assumed. Estimated effects vary according to individuals’ gender, membership in a farm household, and location. We also analyze climate effects on sources of household income, which highlights the multi-phasic nature of household responses. Results undermine narratives of a uniform global migratory response to climate change and highlight the heterogeneous use of migration as a response to such changes. By extending previous research on environmentally induced migration in Indonesia, we also highlight the sensitivity of estimates to alternative climate and migration measures.     

Latent Profiles of Discrimination and Socialization Predicting Ethnic Identity and Well‐Being Among Asian American Adolescents

Ethnic identity is rooted in sociocultural processes, but little is known about how social interactions predict its longitudinal changes. Using data from 154 Asian American adolescents, latent profile analysis derived four typologies based on unfair treatment (i.e., discrimination, model minority stereotyping) and ethnic socialization (i.e., cultural socialization, preparation for bias, promotion of mistrust): Low Cultural Salience, High Cultural Salience with Marginalization, Culturally Prepared with Low Mistrust, and High Mistrust/Discrimination. Few gender or generational differences in profile membership were found. Positive outcomes were linked to adolescents attuned to both positive and negative experiences, Culturally Prepared with Low Mistrust, who reported increases in ethnic belonging and decreases in negative emotions. The implications for identity formation and adjustment are discussed.     

Hierarchical likelihood approach to non-Gaussian factor analysis

Factor models, structural equation models (SEMs) and random-effect models share the common feature that they assume latent or unobserved random variables. Factor models and SEMs allow well developed procedures for a rich class of covariance models with many parameters, while random-effect models allow well developed procedures for non-normal models including heavy-tailed distributions for responses and random effects. In this paper, we show how these two developments can be combined to result in an extremely rich class of models, which can be beneficial to both areas. A new fitting procedures for binary factor models and a robust estimation approach for continuous factor models are proposed.     

Young Adult and Parent Perceptions of Facilitation: Associations with Overparenting,Family Functioning,and Student Adjustment

Overparenting occurs when parents engage in developmentally inappropriate involvement in their children’s lives. This topic is salient in the context of young adults attending college, as this developmental stage necessitates independent decision-making and adjustment on the part of these students. At the same time, the turbulence involved in this transition might engender parental interference and facilitation that could impact young adults’ adjustment and perceived family functioning. This study used structural equation modeling to examine overparenting, perceived interference, facilitation, student adjustment, and family functioning in 302 parent–young adult dyads. Results indicated that overparenting was associated with facilitation, but not interference. Whereas this association was negative for young adults, it was positive for parents. This pattern was also reflected in the indirect effects of overparenting on student adjustment through young adults’ versus parents’ perceived facilitation. Young adults appear to have better outcomes when they perceive their parents to be facilitating their goals.     

A new algorithm for clustering based on kernel density estimation

In this paper, we present an algorithm for clustering based on univariate kernel density estimation, named ClusterKDE. It consists of an iterative procedure that in each step a new cluster is obtained by minimizing a smooth kernel function. Although in our applications we have used the univariate Gaussian kernel, any smooth kernel function can be used. The proposed algorithm has the advantage of not requiring a priori the number of cluster. Furthermore, the ClusterKDE algorithm is very simple, easy to implement, well-defined and stops in a finite number of steps, namely, it always converges independently of the initial point. We also illustrate our findings by numerical experiments which are obtained when our algorithm is implemented in the software Matlab and applied to practical applications. The results indicate that the ClusterKDE algorithm is competitive and fast when compared with the well-known Clusterdata and K-means algorithms, used by Matlab to clustering data.     

Égalité entre hommes et femmes et gouvernance des chaînes d'approvisionnement mondiales: promouvoir les droits des travailleuses

La gouvernance privée telle qu'elle découle des différentes initiatives prises par les multinationales pour promouvoir le respect de normes sociales et l'égalité hommes‐femmes a eu peu d'effet sur les discriminations fondées sur le genre dans les chaînes d'approvisionnement mondiales. Les auteures soulignent l'intérêt des Principes directeurs des Nations Unies relatifs aux entreprises et aux droits de l'homme en la matière, estimant qu'il est indispensable de recourir à une gouvernance «stratifiée» associant public, privé et acteurs sociaux pour lutter contre cette discrimination et intégrer le souci de l'égalité des sexes dans l'exercice de la diligence raisonnable exigée en matière de droits de l'homme.     

Amassing rural power in the fight against fracking in Maryland: A report from the field

ABSTRACT

Social workers can mobilize vulnerable populations to shape policy decisions about industrial practices that could have adverse impacts on their wellbeing. One such practice is hydraulic fracturing or “fracking” to extract oil and natural gas from shale rock deposits. There is scant social work literature on mobilizing opposition to fracking despite a proliferation of literature from other disciplines. This article documents the campaign in Maryland that led to the adoption of the first legislative ban on fracking in a U.S. state with shale gas reserves, using social movement theory to identify factors that led to this successful outcome.     

HRD research and practice after ‘The Great COVID-19 Pause’: the time is now for bold,critical, research

ABSTRACT

The COVID-19 pandemic has disrupted life as we knew it and created an unprecedented opportunity to pause and assess ‘normal’ life and work. We have an opportunity to create a new ‘normal.’ What possibility does the chance to show up differently in our lives and work hold? The pandemic has caused significant shifts in values that will affect individuals, organizations, communities, and nations. This article challenges HRD scholars and practitioners to imagine how HRD might create a new normal through bold, critical research inquiry that interrogates exclusion, pursues organization and social justice, and creates humanly sustainable organizations and communities.     

Positive affect regulation in youth: Taking stock and moving forward

This article summarizes the four articles in the Social Development quartet focused on positive affect regulation in youth. Each article in the quartet shows that parents’ socialization of youth positive affect (e.g., encouraging, enhancing, savoring, or dampening responses) is associated with youth positive affect regulation and depressive symptoms. Further, three of the studies provide novel evidence for an indirect relationship whereby parental socialization predicts youth depressive symptoms through youth positive affect regulation. The studies include samples of youth across mid‐childhood and adolescence (7–18‐year‐olds) from three countries (the United States, Belgium, and India), and utilize several methods of assessing youth positive affect regulation or parental socialization (parent‐reported surveys, youth‐reported surveys, coded parent–child discussions). This integrative article also identifies several ways in which the study of youth positive affect regulation can be advanced. We address the conceptualization of positive affect regulation and the socialization of children's positive affect, constraints on the adaptiveness of upregulating positive emotions, methodological directions, potential moderated effects based on child characteristics such as sex or temperament, and the importance of studying outcomes beyond depression.