Desires matter! Desired attitudes predict behavioural intentions in people who think abstractly: the case of eating products without added salt / ¡Los deseos importan! Las actitudes deseadas predicen las intenciones de comportamiento en las personas que piensan de modo abstracto: El caso del consumo de alimentos sin sal añadida

Introduction. Previous research supports that congruence in the construal level between a person’s mindset and predictors enhanced the strength of predictions. Because desired attitudes are more abstract than actual attitudes, we expected that desired attitudes would better predict behavioural intentions in people who present an abstract style of thinking. Objective. We tested this matching effect between desired attitudes and abstractness by measuring the construal level as a person’s base-rate tendency. Method. Participants (N = 105) reported their past experience and actual and desired attitudes towards eating products without added salt and their behavioural intentions. To classify participants according to an abstract or a concrete way of thinking, their first thought was coded using the linguistic category model (LCM). Results. The simple slopes analysis showed that desired attitudes significantly influenced behavioural intentions for participants with an abstract way of thinking. Conclusion. Our results support the relevance of desired attitudes in terms of behavioural predictions and extend the role of the construal level in the prediction and promotion of desirable but demanding behaviour in the framework of individual differences.     

Social work educators’ perceived barriers to teaching with technology: the impact on preparing students to work with younger clients

ABSTRACT

The educational needs of current social work students have transitioned in time from fully face-to-face to hybrid and for some, to fully online instruction. This helps to address students’ need to save time and money, as well as it assists the higher education institutions to provide easier and more efficient access to education. The use of technology in educational instruction has a positive impact on the future social workers who have to address the needs of technologically savvy younger clients. This is due to parallels related to the access and the use of technology, communication preferences, and the wide use of social media platforms. A quantitative non-experimental research design was employed in this research study. Non-parametric statistics were employed. A Mann-Whitney U test was used to compare the perceptions of barriers/challenges to eLearning among US and Spanish social work educators. The Kruskal-Wallis test was used to find the differences in the perceptions of barriers/challenges to eLearning across different group characteristics such as age, academic position, and experience teaching online and hybrid courses. There are six main barriers/challenges identified in this article. When not addressed, these barriers could have a negative impact on social work students’ readiness to use technology in their future social work practice.     

Global loss of production capacity caused by the COVID-19 pandemic

The global economy faces a loss of production capacity among the most severe in at least the past half-century as a result of the recession caused by the COVID-19 pandemic. It will take several years of persistent investment efforts to restore the pre-pandemic level of capacity and put global output back to potential. By using a production function based on the incremental capital-output ratio, we estimate the loss of production capacity for the global economy and for the two main world locomotives, the U.S. and China. To do this, we estimate the production capacity implied in our current recession baseline and the capacity that would have existed in the absence of the pandemic (precrisis scenario). The difference between the two estimates is defined as the loss of capacity generated by the pandemic. The results also allow us to extract some policy implications in terms of mitigation measures and investment requirements.     

The state of crisis communication research and education through the lens of crisis scholars: An international Delphi study

This Delphi study explores the status of crisis communication research and education qualitatively through the lens of 22 internationally recognized crisis communication scholars, systematically recruited and retained to serve on the crisis expert Delphi panel in a two-year span. Taking a multi-iteration consensus-building approach, this study enabled the expert panel to individually elaborate and collectively evaluate shared observations and insights regarding trends, patterns, and nuances in crisis communication as a unique interdisciplinary area of research and practice. The quality and impact of current scholarship, methodological rigor and diversity, and perceived knowledge gaps between academia and industry were compared and synthesized across countries. Consensus was achieved in the majority of the proposed questions. Results show challenges and particular deficiencies within the crisis communication research domain. The main challenge is bridging the gap between academia and industry. The lack of theory development and cross-cultural studies contribute to part of this challenge. The knowledge and perceptual gaps identified by our Delphi expert panel also suggest a need to align crisis communication academic research more closely with crisis communication teaching. Despite the increasingly broadened presence of crisis communication scholarship, it remains small and stunted at some universities. The discussions and insights that emerged in this Delphi study help pave the way for further research innovation and educational program development in crisis communication.     

A weakly informative prior for Bayesian dynamic model selection with applications in fMRI

In recent years, Bayesian statistics methods in neuroscience have been showing important advances. In particular, detection of brain signals for studying the complexity of the brain is an active area of research. Functional magnetic resonance imagining (fMRI) is an important tool to determine which parts of the brain are activated by different types of physical behavior. According to recent results, there is evidence that the values of the connectivity brain signal parameters are close to zero and due to the nature of time series fMRI data with high-frequency behavior, Bayesian dynamic models for identifying sparsity are indeed far-reaching. We propose a multivariate Bayesian dynamic approach for model selection and shrinkage estimation of the connectivity parameters. We describe the coupling or lead-lag between any pair of regions by using mixture priors for the connectivity parameters and propose a new weakly informative default prior for the state variances. This framework produces one-step-ahead proper posterior predictive results and induces shrinkage and robustness suitable for fMRI data in the presence of sparsity. To explore the performance of the proposed methodology, we present simulation studies and an application to functional magnetic resonance imaging data.     

Living Alone over the Life Course: Cross-National Variations on an Emerging Issue

The increasing proportion of persons living alone has come to be emblematic in many ways of modern Western societies because it represents the importance conceded to the individual and to individual goals at the expense, basically, of the family. Solo living has been interpreted within the context of changing values and preferences, changing personal and conjugal realities, and the changing work contexts so often associated with the Second Demographic Transition. We know little about patterns and trends in living alone over the life course in much of the world because most research to date has concentrated on regional and national portrayals or on living arrangements in later life. This study provides a systematic look at the differences in living alone by age and sex in 113 countries. Our aim is to understand the extent to which behavior differs around the world and the implications this has for society. We also examine the relationship between trends in living alone and levels of human development. Results are taken from three massive datasets: census and survey microdata from IPUMS-international, Demographic Health Surveys, and EU-Labor Force Surveys.     

A semi-parametric Bayesian extreme value model using a Dirichlet process mixture of gamma densities

In this paper, we propose a model with a Dirichlet process mixture of gamma densities in the bulk part below threshold and a generalized Pareto density in the tail for extreme value estimation. The proposed model is simple and flexible for posterior density estimation and posterior inference for high quantiles. The model works well even for small sample sizes and in the absence of prior information. We evaluate the performance of the proposed model through a simulation study. Finally, the proposed model is applied to a real environmental data.     

A prospective study of adolescent mothers’ social competence,children's effortful control and compliance and children's subsequent developmental outcomes

Previous work has established that caregiver and child temperamental characteristics are associated with child compliance. Given the critical role that parents play in this process, and that children of teen mothers are at risk for poorer developmental outcomes, it is important to understand the development of compliance in the context of at‐risk parenting such as adolescent motherhood. The current study examined child compliance (Wave 5; W5) as a mediator of the association between adolescent mothers’ social competence (Wave 4; W4) and children's behavioral and academic outcomes (Wave 6; W6), and whether this mediation varied depending on children's effortful control (W4) in a sample of 204 Mexican‐origin adolescent mothers (M_age at W4 = 19.94, SD = .99) and their children (M_age at W4 = 36.21 months, SD = .45). Adolescent mothers reported on their own social competence and their children's effortful control and externalizing problems; compliance was assessed using observational methods; and academic readiness was assessed using standardized developmental assessments. Findings based on structural equation modeling revealed that adolescent mothers’ social competence was positively related to children's compliance among children with high effortful control, but not among those with low effortful control. Moreover, child compliance mediated the longitudinal association between adolescent mothers’ social competence and child externalizing problems and academic readiness. Discussion focuses on the importance of considering the role of child temperament in understanding how adolescent mothers’ social competence is subsequently associated with children's social and academic adjustment.