Cross Validation of the Gambling Problem Severity Subscale of the Canadian Adolescent Gambling Index (CAGI/GPSS) on a Sample of Ontario High School Students

This paper reports on the cross validation of the Gambling Problem Severity Subscale of the Canadian Adolescent Gambling Index (CAGI/GPSS). The CAGI/GPSS was included in a large school based drug use and health survey conducted in 2015. Data from students in grades 9–12 (ages 13–20 years) derived from the (N = 3369 students). The CAGI/GPSS produced an alpha of 0.789. A principle component analysis revealed two eigenvalues greater than one. An oblique rotation revealed these components to represent consequences and over involvement. The CAGI/GPSS indicated that 1% of the students fell into the “red” category indicating a severe problem and an additional 3.3% scored in the “yellow” category indicating low to moderate problems. The CAGI/GPSS was shown to be significantly correlated with gambling frequency (r = 0.36), largest expenditure (r = 0.37), sex (more likely to be male) (r = ?0.19), lower school marks (r = ?0.07), hazardous drinking, (r = 0.16), problem video game play (r = 0.16), as well as substance abuse. The CAGI/GPSS was cross validated using a shorted version of the short SOGS, r = 0.48. In addition the CAGI/GPSS and short SOGS produced very similar patterns of correlations results. The results support the validity and reliability of the CAGI/GPSS as a measure of gambling problems among adolescents.     

The role,importance and challenges of social sciences and humanities in the work of the intergovernmental science-policy platform on biodiversity and ecosystem services (IPBES)

Qualified competences in social science and humanities are required across the various deliverables of the intergovernmental science-policy platform on biodiversity and ecosystem services (IPBES) in order to fully address the objectives of IPBES. Building integrative approaches has long been acknowledged as a scientific challenge. Hence, new paths have to be forged, including revisiting basic ontological and epistemological considerations, such as how we understand the world, what knowledge is, and the role of science. Constructive interdisciplinary dialogues in IPBES supports the development of innovative frames and terminologies. One example is the evolution from the Millennium Ecosystem Assessment ecosystem service framework to the Nature’s Contributions to People classification now applied in IPBES assessments. IPBES is still in a learning phase and critical examination of what is accomplished this far is useful when refining ongoing modes of work and in long-term strategic considerations.     

Gender and social conformity: Do men and women respond differently to social pressure to vote?

In this paper, we re-analyze data from a large-scale field experiment (N = 344,084) on voter turnout in order to determine whether men and women respond differently to social pressure aimed at voter mobilization. To date, there have been mixed results regarding the interaction between a person’s gender and receptivity to social influence. On the whole, our analyses confirm prior findings that social pressure increases voter turnout but uncover little to no evidence of gender differences in receptivity to social pressure cues in the context of political participation.     

Fourier–type tests involving martingale difference processes

We develop testing procedures which detect if the observed time series is a martingale difference sequence. Furthermore, tests are developed that detect change–points in the conditional expectation of the series given its past. The test statistics are formulated following the approach of Fourier–type conditional expectations first proposed by Bierens (1982 Bierens, H. J. (1982). Consistent model speci?cation tests. J. Econometr. 20:105–134.[Crossref], [Web of Science ®] , [Google Scholar]) and have the advantage of computational simplicity. The limit behavior of the test statistics is investigated under the null hypothesis as well as under alternatives. Since the asymptotic null distribution contains unknown parameters, a bootstrap procedure is proposed in order to actually perform the test. The performance of the bootstrap version of the test is compared in finite samples with other methods for the same problem. A real–data application is also included.     

Estimates of subgroup treatment effects in overall nonsignificant trials: To what extent should we believe in them?

In drug development, it sometimes occurs that a new drug does not demonstrate effectiveness for the full study population but appears to be beneficial in a relevant subgroup. In case the subgroup of interest was not part of a confirmatory testing strategy, the inflation of the overall type I error is substantial and therefore such a subgroup analysis finding can only be seen as exploratory at best. To support such exploratory findings, an appropriate replication of the subgroup finding should be undertaken in a new trial. We should, however, be reasonably confident in the observed treatment effect size to be able to use this estimate in a replication trial in the subpopulation of interest. We were therefore interested in evaluating the bias of the estimate of the subgroup treatment effect, after selection based on significance for the subgroup in an overall “failed” trial. Different scenarios, involving continuous as well as dichotomous outcomes, were investigated via simulation studies. It is shown that the bias associated with subgroup findings in overall nonsignificant clinical trials is on average large and varies substantially across plausible scenarios. This renders the subgroup treatment estimate from the original trial of limited value to design the replication trial. An empirical Bayesian shrinkage method is suggested to minimize this overestimation. The proposed estimator appears to offer either a good or a conservative correction to the observed subgroup treatment effect hence provides a more reliable subgroup treatment effect estimate for adequate planning of future studies.     

Substance‐dependent women becoming mothers: breaking the cycle of adverse childhood experiences

Parenting may be particularly challenging for substance‐dependent mothers who have grown up with parents who themselves had substance use disorders (SUDs). The aim of this study was to explore how substance‐dependent mothers describe their childhood experiences with substance‐abusing parents and the association between these earlier experiences and their own role as caregivers. Using purposeful sampling, mothers admitted for 1 year to a family ward at a substance abuse clinic were approached. Through in‐depth, qualitative interviews, nine substance‐dependent mothers described their lives in the form of present, past and future tense. The findings indicate that substance‐dependent women, who have experienced SUDs in their families of origin, face several major challenges when they become mothers. Some describe having lived their whole lives ‘on the edge of society'. This makes their rehabilitation process more complex. All mothers work to abstain from substances, process traumatic experiences and integrate their family into society. They need help to build supportive social networks and to establish a safe and predictable family environment for themselves and their children. The therapeutic implications of these findings will be discussed.     

Social support available for substance‐dependent mothers from families with parental substance abuse

Substance‐dependent mothers, who have grown up with parental substance abuse, struggle during and after treatment to abstain from substances while trying to process traumatic experiences and integrate their family into society. The aim of this study was to explore the social support available for these mothers to help them stay abstinent and create safe family environments for themselves and their children. Using purposeful sampling, we approached nine mothers admitted for 1 year to a family ward at a substance abuse clinic and their significant others. Through in‐depth, qualitative interviews, first with the mothers, later with their significant others, we investigated characteristics of the available social support. The findings indicated that the significant others had limited resources and were themselves exposed to adverse and cumulative psychosocial and socioeconomic risk factors. Their relationships with the mothers were, nevertheless, close, consistent and reliable. Supporting the existing social network should be an integrated part of the work of family welfare services aiming to help substance‐dependent mothers from families with parental substance abuse to rehabilitate and to integrate successfully into local communities.     

Predicting Attitudes Toward Lesbian and Gay Parent Families Among Portuguese Students from Helping Professions

The authors' goal was to characterize predictors of attitudes toward lesbian and gay parent families (LGPF), held by students enrolled in psychology, social work, medicine, nursing, elementary, and preschool education programs in Portugal. The authors examined the predictive value of students' (n = 600) sociodemographic characteristics when assessing their attitudes toward LGPF. Participant's gender, interpersonal contact with lesbians and gay men, gender role attitudes had indirect effects on attitudes toward LGPF, through attitudes toward lesbians and gay men. Understanding characteristics associated with attitudes toward LGPF may inform decisions in terms of the education and training of helping professionals.     

Tests for Structural Changes in Time Series of Counts

We propose methods for detecting structural changes in time series with discrete‐valued observations. The detector statistics come in familiar L2‐type formulations incorporating the empirical probability generating function. Special emphasis is given to the popular models of integer autoregression and Poisson autoregression. For both models, we study mainly structural changes due to a change in distribution, but we also comment for the classical problem of parameter change. The asymptotic properties of the proposed test statistics are studied under the null hypothesis as well as under alternatives. A Monte Carlo power study on bootstrap versions of the new methods is also included along with a real data example.