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Development and refinement of self-report measures generally involves selecting a subset of indicators from a larger set. Despite the importance of this task, methods applied to accomplish this are often idiosyncratic and ad hoc, or based on incomplete statistical criteria. We describe a structural equation modeling (SEM)-based technique, based on the standardized residual variance--covariance matrix, which subsumes multiple traditional psychometric criteria: item homogeneity, reliability, convergent, and discriminant validity. SEMs with a fixed structure, but with substituted candidate items, can be used to evaluate the relative performance of those items. Using simulated data sets, we demonstrate a simple progressive elimination algorithm, which demonstrably optimizes item choice across multiple psychometric criteria. This method is then applied to the task of short-form development of the multidimensional "4Es" (Excitement, Esteem, Escape, Excess) scale, which are understood as indicators of psychological vulnerability to gambling problems. It is concluded that the proposed SEM-based algorithm provides an automatic and efficient approach to the item-reduction stage of scale development and should be similarly useful for the development of short forms of preexisting scales. Broader use of such an algorithm would promote more transparent, consistent, and replicable scale development.

Background and aims: COVID-19 lockdowns limited access to gambling but simultaneously elevated psychosocial stressors. This study assessed the relative effects of these changes on gambling risk status during and after the Australian COVID-19 lockdown from late-March to late-May 2020. Methods: The study administered three surveys to people who had gambled within the past year at T1. Wave 1 asked about before (T1, N 5 2,125) and during lockdown (T2, N 5 2,125). Subsequent surveys focused on one year (T3; N 5 649) and two years after lockdown (T4, N 5 458). The dependent variable was changes in reporting any problem gambling symptoms (PGSI 0 vs 1+). Bivariate analyses and multinomial logistic regression tested for significant associations with: demographics, psychosocial stressors (perceived stress, psychological distress, loneliness, health anxiety about COVID, financial hardship, stressful life events), gambling participation and gambling frequency. Results: Gambling participation and at-risk gambling decreased between T1 and T2, increased at T3, with little further change at T4. When gambling availability was curtailed, decreased gambling frequency on EGMs, casino games, sports betting or race betting, and lower psychosocial stress, were associated with transitions from at-risk to non-problem gambling. When gambling availability resumed, increased EGM gambling frequency, decreased online gambling frequency, and higher psychosocial stress were associated with transitions from non-problem to at-risk gambling. Discussion and conclusions: Gambling availability appears a stronger influence on gambling problems, at the population level, than psychosocial risk factors. Reducing the supply of high-risk gambling products, particularly EGMs, is likely to reduce gambling harm. [ABSTRACT FROM AUTHOR]

Background and aims: Smartphone, computer and land-based betting platforms each have distinctive features. This study examined 1) preferred features of sports betting platforms amongst young adults and 2) whether feature preferences vary with gambling severity. Methods: The study surveyed 616 Australians aged 18-29 years who bet at-least monthly on sports, esports and/or daily fantasy sports. Participants provided a simple rating of the importance of 24 features of betting platforms and then completed a discrete choice experiment to indicate their preferences amongst different groups of features. Results: Smartphones were the only platform providing all preferred features. The most important feature was ability to bet instantly 24/7 from any location, followed by electronic financial transactions. Less important features were ability to access betting information online and to bet with multiple operators. Social and privacy features, and access to promotions, did not significantly predict platform choice. The experiment found no significant differences in preferred features by gambling severity group or by gender. The non-experimental descriptive data, however, indicated that participants in the moderate risk/problem gambling categories placed significantly more importance on privacy, ability to place in-play bets, bet with cash, bet with a credit card, see frequent promotions, and bet with multiple operators. Discussion and conclusions: Most features that bettors prefer can intensify betting. Curtailment of betting promotions, in-play betting, and credit card betting are measures that can assist higher-risk gamblers without unduly affecting other gamblers. Consumer protection tools, including mandatory pre-commitment, need strengthening to help counter the unique risks of smartphone betting. [ABSTRACT FROM AUTHOR]