On the Bayesian Estimation for the Uniform Scale Parameter via a Functional Equation

Bayes uniform model under the squared error loss function is shown to be completely identifiable by the form of the Bayes estimates of the scale parameter. This results in solving a specific functional equation. A complete characterization of differentiable Bayes estimators (BE) and generalized Bayes estimators (GBE) is given as well as relations between degrees of smoothness of the estimators and the priors. Characterizations of strong (generalized Bayes) Bayes sequence (SBS or SGBS) are also investigated. A SBS is a sequence of estimators (one for each sample size) where all its components are BE generated by the same prior measure. A complete solution is given for polynomial Bayesian estimation.     

Chance-Corrected Measures of Reliability and Validity in 2 × 2 Tables

It is customary to use two groups of indices to evaluate a diagnostic method with a binary outcome: validity indices with a standard rater (sensitivity, specificity, and positive or negative predictive values) and reliability indices (positive, negative and overall agreements) without a standard rater. However neither of these classic indices is chance-corrected, and this may distort the analysis of the problem (especially in comparative studies). One way of chance-correcting these indices is by using the Delta model (an alternative to the Kappa model), but this means having to use a computer program to work out the calculations. This paper gives an asymptotic version of the Delta model, thus allowing simple expressions to be obtained for the estimator of each of the above-mentioned chance-corrected indices (as well as for its standard error).     

Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models

This work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical trials are used to estimate the intra-class coefficient of reliability for a binary response. Additionally, the correlation between such a binary response and a continuous response is derived to evaluate the criterion validity of the binary response variable and the established continuous response variable.     

Two Conditionally Specified Mixed Binomial Distributions

Two generalized hypergeometric distributions are identified as mixed binomial distributions by conditional specification. Both distributions show profiles that are not possible in other mixed binomial distributions such as the beta-binomial distribution. A simulation study illustrates that beta-binomial distribution is more precise to fit data with usual profiles but the two distributions presented can improve the capability of fitting data in other less common scenes.     

Correlates of Alcohol Use Likelihood for Latino Immigrant Youth in an Emerging Context

Using a three-wave prospective longitudinal design spanning 3 years, we assessed alcohol use likelihood trajectories and their correlates among a community sample of Latino immigrant adolescents in the emerging immigrant context of Western Oregon. Results from growth mixture modeling revealed two distinct classes: lower risk youth who reported little likelihood of alcohol use but whose trajectory was increasing, and higher risk youth who reported higher likelihood of alcohol use and whose trajectory was stable. We found significant differences between the two classes such that lower risk youth reported greater levels of Latino cultural orientation and parental monitoring, whereas higher risk youth reported greater levels of family cultural stress and delinquency. Results are discussed in terms of prior research and theory.     

“I'm going to do battle… I'm going to do some good”. Biographical trajectories,moral politics,and public engagement among highly religious young Catholics in Spain and Mexico

Public debates and controversies on moral issues have gained visibility in recent decades in both Spain and Mexico. Conservative Catholic groups and networks are increasingly playing a crucial role in raising and framing highly morally charged themes in the public arena, especially on intimacy-related policies, including sexual and reproductive freedoms. A new generation of young Catholic leaders becoming key political agents has emerged in this scenario. They are fostering new mobilisation repertoires in the public sphere (e.g., digital activism and public performances) and promoting new political narratives merging moral, cultural, and religious elements. These highly religious and conservative young Catholics consider themselves part of a cultural/cognitive minority and feel entitled to become what Howard Becker termed “moral entrepreneurs.” Most have been educated in Catholic schools and belong to Catholic movements. Still, they can also navigate secular politics and strategically use different regimes of justification and action. Within this context, the article aims to examine and compare the intersection of historical trends and the relevance of individual biographies to understand the role of these young Catholics in the public space in both countries.     

Special issue: Child protection in the digital age. Latent profiles in cyberbullying and the relationship with self-concept and achievement goals in preadolescence

In recent years, the scientific community has taken an interest in cyberbullying research due to the emotional and educational impact on all those involved. However, the scant evidence on samples from primary education is derived from statistical methodologies focusing on the individual, which generate specific profiles rather than acting roles. The present study focuses on the profiles of cyberbullying and its variability with the levels of self-concept and academic goals, using a sample of 548 Spanish primary education students aged 10–13 (M = 10.95, SD = 0.7). After analysing the data using Latent Class Analysis and MANOVA, the profiles developed were ‘not-involved’ (38.82%), ‘moderate victimization’ (37.17%), ‘high bully-victimization’ (19.29%) and ‘low victimization’ (4.7%). In addition, the group of students with the not-involved profile scored higher on the self-concept of their relationship with their parents, in language, in mathematics and their general self-concept than the group with moderate victimization. The same pattern was also observed for learning goals. The findings have significant implications for the creation of person-centred cyberbullying prevention programmes that permit a more targeted approach to cyberbullying behaviours in order to halt its progress.