The psychometric properties of a shortened Dutch version of the consequences scale used in the core alcohol and drug survey

<div><p>Background</p><p>Alcohol and drug misuse among college students has been studied extensively and has been clearly identified as a public health problem. Within more general populations alcohol misuse remains one of the leading causes of disease, disability and death worldwide. Conducting research on alcohol misuse requires valid and reliable instruments to measure its consequences. One scale that is often used is the consequences scale in the Core Alcohol and Drug Survey (CADS). However, psychometric studies on the CADS are rare and the ones that do exist report varying results. This article aims to address this imbalance by examining the psychometric properties of a Dutch version of the CADS in a large sample of Flemish university and college students.</p><p>Methods</p><p>The analyses are based on data collected by the inter-university project ‘Head in the clouds’, measuring alcohol use among students. In total, 19,253 students participated (22.1% response rate). The CADS scale was measured using 19 consequences, and participants were asked how often they had experienced these on a 6-point scale. Firstly, the factor structure of the CADS was examined. Two models from literature were compared by performing confirmatory factor analyses (CFA) and were adapted if necessary. Secondly, we assessed the composite reliability as well as the convergent, discriminant and concurrent validity.</p><p>Results</p><p>The two-factor model, identifying personal consequences (had a hangover; got nauseated or vomited; missed a class) and social consequences (got into an argument or fight; been criticized by someone I know; done something I later regretted; been hurt or injured) was indicated to be the best model, having both a good model fit and an acceptable composite reliability. In addition, construct validity was evaluated to be acceptable, with good discriminant validity, although the convergent validity of the factor measuring ‘social consequences’ could be improved. Concurrent validity was evaluated as good.</p><p>Conclusions</p><p>In deciding which model best represents the data, it is crucial that not only the model fit is evaluated, but the importance of factor reliability and validity issues is also taken into account. The two-factor model, identifying personal consequences and social consequences, was concluded to be the best model. This shortened Dutch version of the CADS (CADS_D) is a useful tool to screen alcohol-related consequences among college students.</p></div

The effect of word similarity on N-gram language models in Northern and Southern Dutch

In this paper we examine several combinations of classical N-gram language models with more advanced and well known techniques based on word similarity such as cache models and Latent Semantic Analysis. We compare the efficiency of these combined models to a model that combines N-grams with the recently proposed, state-of-the-art neural network-based continuous skip-gram. We discuss the strengths and weaknesses of each of these models, based on their predictive power of the Dutch language and find that a linear interpolation of a 3-gram, a cache model and a continuous skip-gram is capable of reducing perplexity by up to 18.63%, compared to a 3-gram baseline. This is three times the reduction achieved with a 5-gram. In addition, we investigate whether and in what way the effect of Southern Dutch training material on these combined models differs when evaluated on Northern and Southern Dutch material. Experiments on Dutch newspaper and magazine material suggest that N-grams are mostly influenced by the register and not so much by the language (variety) of the training material. Word similarity models on the other hand seem to perform best when they are trained on material in the same language (variety)

Mededelingen van het Cyriel Buysse Genootschap

B

Concise report : teenage sexting on the rise? Results of a cohort study using a weighted sample of adolescents

Background: The vast differences in sampling techniques, cultural contexts between international studies, the differences in age groups of the samples and various definitions used to measure sexting make it hard to compare how sexting behaviour has evolved over the past years. This exploratory study aims to address this critical gap in the research by using two datasets of a biennial study on adolescents' media use. The first aim of this study is to compare the sexting prevalence and correlates (i.e. age, gender and smartphone ownership) of youth in 2015 and 2017. The second aim is to investigate the risk mitigation behaviours of youth who engage in sexting and to assess how their behaviours differ between the two time points. Methods: The data for cohort 1 were collected in October and November 2015 and comprise of 2663 students from 11 secondary schools in the Dutch-speaking community of Belgium. For the second cohort, the data were collected in October and November 2017 and comprise of 2681 students from 10 secondary schools. A weighing factor was implemented on the dataset. Results: The results show sexting behaviour has significantly increased between cohorts, with 8.3% of the respondents having sent a sext in the first cohort, compared with 12.1% in the second cohort. The sexting prevalence rates also significantly increased between cohorts when taking into account students who owned a smartphone. Furthermore, engagement in sexting was associated with being older, and no gender differences were found. In the second cohort, 36.8% of youth who had sent a sext were identifiable in those images. There were no differences between cohorts. Conclusion: The results indicate that other factors next to smartphone ownership may be associated with an increase in sexting prevalence. The findings also highlight the need for the development of age-appropriate sexting educational materials

A low-complexity psychometric curve-fitting approach for the objective quality assessment of streamed game videos

The increasing popularity of video gaming competitions, the so called eSports, has contributed to the rise of a new type of end-user: the passive game video streaming (GVS) user. This user acts as a passive spectator of the gameplay rather than actively interacting with the content. This content, which is streamed over the Internet, can suffer from disturbing network and encoding impairments. Therefore, assessing the user's perceived quality, Le the Quality of Experience (QoE), in real-time becomes fundamental. For the case of natural video content, several approaches already exist that tackle the client-side real-time QoE evaluation. The intrinsically different expectations of the passive GVS user, however, call for new real-time quality models for these streaming services. Therefore, this paper presents a real-time Reduced-Reference (RR) quality assessment framework based on a low-complexity psychometric curve-fitting approach. The proposed solution selects the most relevant, low-complexity objective feature. Afterwards, the relationship between this feature and the ground-truth quality is modelled based on the psychometric perception of the human visual system (HVS). This approach is validated on a publicly available dataset of streamed game videos and is benchmarked against both subjective scores and objective models. As a side contribution, a thorough accuracy analysis of existing Objective Video Quality Metrics (OVQMs) applied to passive GVS is provided. Furthermore, this analysis has led to interesting insights on the accuracy of low-complexity client-based metrics as well as to the creation of a new Full-Reference (FR) objective metric for GVS, i.e. the Game Video Streaming Quality Metric (GVSQM)

The relationship between pain severity and alcohol use among school-aged children and adolescents : the moderating role of drinking motives

Objective. Evidence from adult samples suggests a co-occurrence between pain and alcohol abuse. However, studies in adolescents are scarce and results are inconsistent, with some studies observing heightened and others observing reduced alcohol consumption in adolescents suffering from pain. We hypothesized that in adolescents the association between pain and alcohol use will be moderated by drinking motives. Methods. Data from a large representative sample of Flemish school children and adolescents (N = 10,650, 50.8% boys, age range = 10-21 years, M-age = 514.33 years) were collected as part of the World Health Organization collaborative Health Behaviour in School-Aged Children (HBSC) survey. Pain severity was graded based on a pediatric pain classification system that accounts for both pain intensity and disability. Alcohol consumption was operationalized using two variables: frequency of drinking and drunkenness. The Drinking Motives Questionnaire-Revised was used to capture drinking motives; it assesses four motive categories (enhancement, coping, social, and conformity). Results. Findings indicated that higher pain severity was associated with greater frequency of alcohol use and drunkenness. However, drinking motives moderated this association. The positive association between pain severity and drinking frequency was stronger in case of high conformity motives. Likewise, the association between pain severity and drunkenness frequency was stronger at high levels of conformity motives and reached significance only at high levels of coping motives. Conclusions. Our findings suggest that specific drinking motives are linked to problematic alcohol use in adolescents with pain. Future studies using a longitudinal design are needed to draw conclusions about direction of effects