scholarly journals Identifying Adolescent Problem Gambling Using Latent Variable Techniques

2017 ◽  
Vol 4 (4) ◽  
pp. 43
Author(s):  
Emil Frasheri ◽  
Besa Shahini

Recently disordered gambling is reclassified as an addictive disorder which inter alia affects a little but significant proportion of adolescents. The aim of this study is to identify and assess different levels of gambling severity among adolescent gamblers (N=1157) from middle and high schools of Korca region, utilizing a cross-sectional design and self-report questionnaire. Using Exploratory, Parallel, Reliability and Confirmatory Analysis, the PGSI measurement instrument, designed for these purposes, resulted to be an appropriate unidimensional screening tool of adolescent disordered gambling in terms of psychometric properties. A traditional Latent Class Analysis using the nine PGSI-items as indicators is performed to identify and predict subtypes of adolescent gamblers, classifying them into latent classes based on their problem gambling severity levels. The inclusion of three covariates related to adolescent gambling problems into Latent Class Model improved the model, helping us to better understand the latent structure.

2020 ◽  
Author(s):  
Philip Warren Stirling Newall ◽  
Alex M T Russell ◽  
Steve Sharman ◽  
Lukasz Walasek

Background and aims: The UK allows a number of gambling products to be legally used by people under the age of 18. The aim of this study was to explore associations between recalled legal usage of five youth gambling products and adult disordered gambling.Methods: A retrospective cross-sectional study of 1,057 adult UK gamblers, aged 18 – 40. Recalled legal use of five youth gambling products (category D fruit machines, coin push machines, crane grab machines, the National Lottery, and National Lottery scratchcards) was correlated with adult disordered gambling symptoms as measured by the Problem Gambling Severity Index.Results: Recalled rates of legal engagement with each product ranged from 50.9% for Category D fruit machines to 96.6% for coin push machines. For category D fruit machines, the National Lottery, and National Lottery scratchcards, merely having legally engaged with these products as a child was associated with adult disordered gambling. Furthermore, higher levels of recalled legal youth usage with each of the five products was also associated with adult disordered gambling.Discussion and conclusions: These results relate to recent government proposals to increase the National Lottery scratchcard legal age to 18, and add to a wider literature on youth gambling and subsequent gambling-related harm.


Author(s):  
Matthew D Sanscartier ◽  
Jack Shen ◽  
Jason D Edgerton

This study investigates mental health and substance use problems associated with gambling among Canadian emerging adults (ages 18–20 years). Drawing on a cross-sectional wave of 624 (47.8% male) participants from the Manitoba Longitudinal Study of Young Adults, our findings suggest that among emerging adults, problem gambling should be understood as part of a wider syndrome. The profile of syndromic associations varies with both problem gambling risk level and gender. With respect to risk level, regression models indicate that, relative to no-risk gamblers, lower risk gamblers are more likely to use drugs and alcohol, whereas higher risk gamblers report greater symptoms of depression and anxiety. Males and females present different barriers to recovery: High-risk female gamblers are more likely to rely on escape-avoidance coping mechanisms, whereas their male counterparts tend to lack perceived social support. Given the centrality of these two variables and the lack of literature addressing how they interact, we conclude that further research is needed to understand how gender and gambling severity interact to simultaneously influence gambling-related behaviours among emerging adults. RésuméCette étude porte sur les problèmes de santé mentale et de toxicomanie associés au jeu chez les jeunes adultes canadiens (âgés de 18 à 20 ans). Fondés sur une vague transversale de 624 participants (47,8% d’hommes) de l’étude longitudinale des jeunes adultes du Manitoba (MLSYA), nos résultats laissent entendre que, parmi les jeunes adultes, le jeu problématique devrait être abordé comme faisant partie d’un syndrome plus vaste. Le profil des associations syndromiques varie selon le niveau de risque de jeu problématique et le genre. En ce qui concerne le niveau de risque, les modèles de régression indiquent que, par rapport aux joueurs sans risque, les joueurs à faible risque sont plus susceptibles de consommer de la drogue et de l’alcool, tandis que les joueurs à risque plus élevé montrent des symptômes plus importants de dépression et d’anxiété. En parallèle, les hommes et les femmes rencontrent différents obstacles au rétablissement : les joueuses à haut risque sont plus susceptibles de compter sur des mécanismes d’adaptation comme l’échappement ou l’évitement, tandis que leurs homologues masculins ont tendance à manquer de soutien social perçu. Compte tenu de la centralité de ces deux variables et du manque de littérature traitant de leurs interactions, nous concluons qu’il est nécessaire de poursuivre les recherches pour comprendre les interactions entre le genre et la gravité du jeu pathologique afin d’influencer simultanément les comportements liés au jeu chez les jeunes adultes.


Author(s):  
Dingxi Qiu ◽  
Edward C. Malthouse

Cluster analysis is a set of statistical models and algorithms that attempt to find “natural groupings” of sampling units (e.g., customers, survey respondents, plant or animal species) based on measurements. The observable measurements are sometimes called manifest variables and cluster membership is called a latent variable. It is assumed that each sampling unit comes from one of K clusters or classes, but the cluster identifier cannot be observed directly and can only be inferred from the manifest variables. See Bartholomew and Knott (1999) and Everitt, Landau and Leese (2001) for a broader survey of existing methods for cluster analysis. Many applications in science, engineering, social science, and industry require grouping observations into “types.” Identifying typologies is challenging, especially when the responses (manifest variables) are categorical. The classical approach to cluster analysis on those data is to apply the latent class analysis (LCA) methodology, where the manifest variables are assumed to be independent conditional on the cluster identity. For example, Aitkin, Anderson and Hinde (1981) classified 468 teachers into clusters according to their binary responses to 38 teaching style questions. This basic assumption in classical LCA is often violated and seems to have been made out of convenience rather than it being reasonable for a wide range of situations. For example, in the teaching styles study two questions are “Do you usually allow your pupils to move around the classroom?” and “Do you usually allow your pupils to talk to one another?” These questions are mostly likely correlated even within a class.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
E L M Ruiter ◽  
G A J Fransen ◽  
M Kleinjan ◽  
G R M Molleman ◽  
K van der Velden ◽  
...  

Abstract Background To increase our understanding of the effect of parenting on the child’s likelihood of becoming overweight, we attempted to identify typologies based on how consistently parents apply dietary and sedentary behavior rules, and we examined whether these typologies are associated with energy balance-related behaviors in children and/or with the prevalence of overweight children. Methods Data were obtained from a cross-sectional survey of the Community Health Service in Nijmegen, the Netherlands in which a total of 4,865 parents of children aged 4-12 years participated. Data were collected using validated self-report questionnaires. To identify typologies based on how consistently parents apply dietary and sedentary behavior rules, we performed latent class analyses. We then performed regression analyses to examine the correlation between these typologies and socio-demographic characteristics, dietary and sedentary behaviors, and overweight. Results Latent class analyses revealed the existence of the following four distinct, stable classes/typologies; parents who have: (1) no dietary behavior rules, plus indulgent sedentary behavior rules; (2) indulgent dietary behavior rules, plus no sedentary behavior rules; (3) overall indulgent rules; (4) overall strict rules. Children of parents with overall strict rules (class 4) had significantly healthier dietary and sedentary behaviors compared to the children of parents in the other three classes. Children 8-12 years of age with parents in class 2 were the most likely to be overweight; compared to the children of parents in classes 1, 3, and 4, the parents in class 2 had the lowest level of education and the higher number of Turkish and Moroccan immigrants. Conclusions These results underscore the need for parents to establish strict rules for their children, particularly regarding sedentary behaviour in order to minimize the child’s likelihood of becoming overweight. Key messages The results underscore the need for parents to establish strict rules for their children, particularly regarding sedentary behaviour in order to minimize the child’s likelihood of becoming overweight. These results may contribute to making healthcare professionals aware that children of parents who do not apply sedentary behavior rules are more likely to become overweight.


2016 ◽  
Vol 1 (3) ◽  
pp. 73
Author(s):  
Besa Shahini ◽  
Emil Frasheri

Gambling research has grown dramatically over the past 2-3 decades, however a lack of consensus regarding the risk factors and gambling etiology related to youth problem gambling still remain. So a better understanding of the nature of youth problem gambling could help us to clarify the etiology of gambling problems. Understanding gambling subtypes is necessary to improve our understanding of the etiology of problem gambling. The prediction of problem gambling is related with the participation in gambling activities. It is necessary to obtain a structure of gambling activities, in order to better understand gambling related problems and to treat problems in a more specified manner. The aim of the study was to determine the appropriate structure of gambling activities using factor analysis in a confirmatory framework. Students are a particularly interesting population in which to study gambling. The research utilized a cross-sectional design and self-report questionnaires. The study concludes that the two-factor solution better represents the chance-and skill-based gambling activities. The first factor is most strongly associated with chance-based activities (lottery, bingo, scratch cards). The second factor is most strongly associated with activities that require some degree of skill (poker, roulette, sport bet, racing, etc. ).


2021 ◽  
Author(s):  
Hyeon-Ah Kang ◽  
Adam Sales ◽  
Tiffany A. Whittaker

Increasing use of intelligent tutoring system (ITS) in education calls for analytic methods that can unravel students' learning behaviors. In this study we suggest a latent variable modeling approach to tracking flow during artificial tutoring. Flow is a mental state a student achieves when immersed in deep learning. Modeling latent flow helps identify when and how students flow during tutoring. The result of the model can also inform the functioning of ITS and provide instrumental information for designing interventions. Three latent variable models are considered to draw discrete inference on the flow state: the (i) latent class model, (ii) latent transition model, and (iii) hidden Markov model. For each of the models, we suggest practical model-fitting strategies, addressing the assumptions and estimation constraints. Using example data from Cognitive Tutor Algebra I, we show that each model provides unique and meaningful information about student's learning process. Through comprehensive survey of the models, we evaluate merits and drawbacks of each modeling framework and illuminate areas that need future development.


2002 ◽  
Vol 36 (6) ◽  
pp. 743-748 ◽  
Author(s):  
Analuiza Camozzato ◽  
Márcia L F Chaves

OBJECTIVE: To evaluate the discriminative and diagnostic values of neuropsychological tests for identifying schizophrenia patients. METHODS: A cross-sectional study with 36 male schizophrenia outpatients and 72 healthy matched volunteers was carried out. Participants underwent the following neuropsychological tests: Wisconsin Card Sorting test, Verbal Fluency, Stroop test, Mini Mental State Examination, and Spatial Recognition Span. Sensitivity and specificity estimated the diagnostic value of tests with cutoffs obtained using Receiver Operating Characteristic curves. The latent class model (diagnosis of schizophrenia) was used as gold standard. RESULTS: Although patients presented lower scores in most tests, the highest canonical function for the discriminant analysis was 0.57 (Verbal Fluency M). The best sensitivity and specificity were obtained in the Verbal Fluency M test (75 and 65, respectively). CONCLUSIONS: The neuropsychological tests showed moderate diagnostic value for the identification of schizophrenia patients. These findings suggested that the cognitive impairment measured by these tests might not be homogeneous among schizophrenia patients.


Author(s):  
Patrycja Michalska ◽  
Anne Chatton ◽  
Louise Penzenstadler ◽  
Paweł Izdebski ◽  
Emilien Jeannot ◽  
...  

Background: Internet gambling may increase rates of gambling harm. This current study aimed to assess Internet poker players’ views on various harm-reduction (HR) strategies. It also examined differences in these views according to the games played (poker only vs. poker plus other gambling activities), indebtedness, and problem gambling severity. Methods: Internet poker players (n = 311; 94.2% Male) recruited online between 2012 and 2014 were included in the analyses and completed a survey on indebtedness, problem gambling severity index, and ten statements regarding HR features. Results: Among the whole sample, the most frequently endorsed HR strategy was setting money limits, specialized online help, and peer support forums. People who play poker only (70%) are less prone to endorse the utility of information on excessive gambling and specialized healthcare centers. No differences were found between those people with debt versus those without regarding HR assessment. Participants with severe problem gambling were more skeptical about HR strategies based on information on specialized healthcare centers. Conclusion: Setting money limits, online help, and peer support forums are the most commonly endorsed strategies. Future research is needed to evaluate the effectiveness of online harm reduction strategies.


2019 ◽  
Vol 7 (1) ◽  
pp. 234-246 ◽  
Author(s):  
Fulvia Pennoni ◽  
Miki Nakai

AbstractA latent class model is proposed to examine couples’ breadwinning typologies and explain the wage differentials according to the socio-demographic characteristics of the society with data collected through surveys. We derive an ordinal variable indicating the couple’s income provision-role type and suppose the existence of an underlying discrete latent variable to model the effect of covariates. We use a two-step maximum likelihood inference conducted to account for concomitant variables, informative sampling scheme and missing responses. The weighted log-likelihood is maximised through the Expectation-Maximization algorithm and information criteria are used to develop the model selection. Predictions are made on the basis of the maximum posterior probabilities. Disposing of data collected in Japan over thirty years we compare couples’ breadwinning patterns across time. We provide some evidence of the gender wage-gap and we show that it can be attributed to the fact that, especially in Japan, duties and responsibilities for the child care are supported exclusively by women.


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