An Assessment of the Psychometric Properties of Italian Version of CPGI

The aim of this study was to adapt to the Italian context a very commonly used international instrument to detect problem gambling, the canadian problem gambling index (CPGI), and assess its psychometric properties. Cross-cultural adaptation of CPGI was performed in several steps and the questionnaire was administered as a survey among Italian general population (n = 5,292). Cronbach’s alpha reliability coefficient was 0.87 and can be considered to be highly reliable. Construct validity was assessed first by means of a principal component analysis and then by means of confirmatory factor analysis, showing that only one factor, problem gambling, was extracted from the CPGI questionnaire (an eigenvalues of 4,684 with percentage of variance 52 %). As far as convergent validity is concerned, CPGI was compared with Lie/Bet questionnaire, a two-item screening tool for detecting problem gamblers, and with both depression and stress scales. A short form DSM-IV CIDI questionnaire was used for depression and VRS scale, a rating scale, was used for rapid stress evaluation. A strong convergent validity with these instruments was found and these findings are consistent with past research on problem gambling, where another way to confirm the validity is to determine the extent to which it correlates with other qualities or measures known to be directly related to problem gambling. In sum, despite the lack of a direct comparison with a classic gold-standard such as DSM-IV, the Italian version of CPGI exhibits good psychometric properties and can be used among the Italian general population to identify at-risk problem gamblers.     

Complex Factors and Behaviors in the Gambling Population of Italy

Gambling has seen significant growth globally, and particularly in Italy: it has rapidly evolved from a simple recreational activity to represent 4% of Italian GDP in 2010.A sample of 4.494 gamblers was drawn from IPSAD-Italia^®2007-2008 (Italian Population Survey on Alcohol and Drugs) in order to examine different gambling patterns (assessed using the Canadian Problem Gambling Index Short form scale).Separate analysis was performed on young adults, age 15–24 (n = 1,241; male 56.2%), and adults, age 25–64 (n = 3,253; male 53.8%): compared with adults, Italian youth, although they gambled less (35.7% vs. 45.3%), appeared to have higher prevalence of low risk gambling (6.9% vs. 5.8%) and moderate risk or problem gambling (2.3% vs. 2.2%). Males are more likely to be moderate-risk or problem gamblers. Those with only a primary education are more likely to be moderate-risk or problem gamblers (young adults: RRR = 5.22; adults: RRR = 3.23) than those with a university education, just like those youth who use depressants, but only among younger (RRR = 3.38).A fundamental issue, “do not disapprove of gambling”, seems to relate to problematic gambling: a specific Italian legislation, the Abruzzi Decree Law, could have influenced the perception that gambling may contribute positively to provide additional funds to the government for social good as well as to add needed jobs. Regardless of such potential social benefits, gambling is a social epidemic and if this association should be confirmed by more focused studies, policy makers should evaluate ways to affect this perception as soon as possible.     

Accounting for uncertainty in the historical response rate of the standard treatment in single‐arm two‐stage designs based on Bayesian power functions

In phase II single‐arm studies, the response rate of the experimental treatment is typically compared with a fixed target value that should ideally represent the true response rate for the standard of care therapy. Generally, this target value is estimated through previous data, but the inherent variability in the historical response rate is not taken into account. In this paper, we present a Bayesian procedure to construct single‐arm two‐stage designs that allows to incorporate uncertainty in the response rate of the standard treatment. In both stages, the sample size determination criterion is based on the concepts of conditional and predictive Bayesian power functions. Different kinds of prior distributions, which play different roles in the designs, are introduced, and some guidelines for their elicitation are described. Finally, some numerical results about the performance of the designs are provided and a real data example is illustrated. Copyright © 2016 John Wiley & Sons, Ltd.     

A Permutation and Combination-Based Solution on the Ranking of Multivariate Populations in the Case of Ordered Categorical Responses with Application to the Evaluation of the Indoor Environment

This article deals with the problem of classifying and ranking several multivariate populations of interests using the permutation and combination approach providing also an inferential validity of the procedure. The need to define an appropriate classification of populations, i.e., products, services, teaching courses, degree programs, and so on, is very common within many areas of applied research. Many times the populations of interest are multivariate in nature meaning that many aspects of that populations can be simultaneously observed on the same unit/subject. From a statistical point of view, when the response variable of interest is multivariate in nature, the problem may become quite difficult to cope with especially in case of ordered categorical responses, due to the large dimensionality of the parametric space. Nonparametric inference based on the NPC methodology however, allows us to overcome these limitations, without the need of referring to assume any specified random distribution.     

Job polarization in European industries

Job polarization instead of pure upgrading is emerging in European industries. This article focuses on polarization of the employment structure and contributes empirical evidence to explain patterns of occupational change in relation to four major groups: managers, clerks, craft workers and manual workers. Building on the structural approach, the author aims to analyse employment dynamics at the sectoral level and shed light on job polarization trends in Europe. Job polarization clearly emerges, mainly in service sectors, and in some European countries it is leading to a rejection of the hypothesis of skill upgrading sustained by the skill‐biased technical change paradigm.     

ICT-enabled time performance: an investigation of value creation mechanisms

The study presented in this paper aimed at checking whether companies that embed information and communication technologies (ICT)-enabled time performance into their product offering can achieve better economic outcomes from technology adoption. Indeed, it is still questionable whether technology adoption results in a superior profitability, especially if such an improvement is achieved through the use of functional ICT applications. In this study, we assume that a better alignment among ICT investments, improvements of the logistics process and the value proposition of the firm can lead towards a superior economic performance. A survey was conducted and 180 usable questionnaires were collected from companies engaged in the electronics and vehicle manufacturing industries. Data were analysed through the structural equation modeling approach. The results show that improvements in speed and dependability, achieved through technology adoption, can lead to a better economic performance if they are embedded into superior after-sales services and/or into an improved product offering.     

The impact of extreme weather events on education

This paper provides new evidence on the long- and medium-term impact of extreme weather events on education. Our focus is on Mongolia, where two extremely severe winters caused mass livestock mortality. We use household panel data with information on households’ preshock location, combined with historic district-level livestock census data and climate data. Our econometric strategy exploits exogenous variation in shock intensity across space and time, using a difference-in-differences approach. Results indicate that individuals who experience the shock while of schooling age and living in severely affected districts are significantly less likely to complete mandatory education, both in the long and medium terms. The effects are driven by individuals from herding households, while no significant effects are found for individuals from nonherding households. This finding renders it unlikely that extreme winters affect education through school closures during extreme climatic conditions, to which all children were exposed. Moreover, there is no evidence for a differential impact of extreme weather events by gender. This suggests that the effects are not mainly channeled through increased child labor in herding but rather they are related to reductions in household income.     

Regular provision of grandchild care and participation in social activities

Against the background of rapid population ageing, studying social participation in later life is of particular relevance within the framework of active ageing. Although caring for grandchildren has taken a central role for older persons due to unprecedented overlap between grandparents’ and their grandchildren’s lives, whether the relationship between grandparental childcare and social activities is characterised by cumulation or competition remains under-explored. Grandparental childcare may increase the purpose in life for grandparents, stimulating their social participation, or it may impose time and energy constraints on it. This study aims to assess the effect of providing grandchild care on participation in social activities for people aged 50–85 in Europe. Using an instrumental variable approach on data from the Survey of Health, Ageing and Retirement in Europe, we find no significant negative effects of grandchild care on engagement in at least one social activity. However, regular provision of grandchild care has a significant negative effect on the number of activities in which grandmothers participate. When considering the activities separately by type we also find, for grandmothers only, a negative effect on volunteering, engagement in educational or training courses and participation in political or community-related organisation.     

Italian Adolescent Gambling Behaviour: Psychometric Evaluation of the South Oaks Gambling Screen: Revised for Adolescents (SOGS-RA) Among a Sample of Italian Students

Since no Italian validated instrument focuses specifically on the measurement of pathological gambling in very young people, with this study, we aim to adapt an international instrument (SOGS-RA) and assess its psychometric properties in a sample (n = 14.910) of young Italian students aged between 15 and 19 years. Cross-cultural adaptation of the instrument was performed through translation, synthesis of translation, back-translation, expert committee review, and pre-testing. The kappa statistic for test–retest concordance ranged from 0.53 to 0.80. Internal validity was assessed by the MCA that identified one principal component with eigenvalue equal to 3,875: the Divgi index and very simple structure analysis also pointed out one common factor, so uni-dimensionality of the SOGS-RA was accepted. Moreover the SOGS-RA was found to have acceptable internal consistency (α = 0.780). Cronbach’s alpha was also assessed separately among males and females (respectively 0.786 and 0.707). The SOGS-RA was assessed in relation to gambling frequency, alcohol and drug use: Chi squared test revealed a strong association both for males and females with gambling frequency (p value ≤ 0.0001), frequent use of illicit drugs (for each drug p value ≤ 0.0001) and having had 3 or more occasions of binge drinking in the last month (p value ≤ 0.0001). At the end we can say that, the results of our study suggest that the SOGS-RA screen may be useful to assess at-risk or problem gambling for both genders in comprehensive youth surveys.