Moral Foundations Theory Among Autistic and Neurotypical Children

Morality can help guide behavior and facilitate relationships. Although moral judgments by autistic people are similar to neurotypical individuals, many researchers argue that subtle differences signify deficits in autistic individuals. Moral foundation theory describes moral judgments in terms of differences rather than deficits. The current research, aimed at assessing autistic individuals’ moral inclinations using Haidt’s framework, was co-designed with autistic community members. Our aim was to describe autistic moral thinking from a strengths-based perspective while acknowledging differences that may pose interpersonal challenges among autistic youth. We assessed 25 autistic and 23 neurotypical children’s moral judgments using the Moral Foundations Questionnaire for Kids. We used semi-structured interviews and qualitative analysis with a subset of participants to describe children’s moral reasoning. Analyses suggested that autistic and neurotypical children make similar judgments about moral transgressions across all five moral foundations. General linear mixed modeling showed that the greatest predictor of recommending punishment was how bad children deemed moral transgressions to be. We also found a trend that autistic children were more likely to recommend punishment for harmless norms violations than were neurotypical children. Future research could use longitudinal methods to understand the development of moral judgments among autistic and neurotypical children.

The Hitchhiker’s Guide to Longitudinal Models: A Primer on Model Selection for Repeated-Measures Methods

Longitudinal data is becoming increasingly available in developmental neuroimaging. To maximize the promise of this wealth of information on how biology, behavior, and cognition change over time, there is a need to incorporate broad and rigorous training in longitudinal methods into the repertoire of developmental neuroscientists. Fortunately, these models have an incredibly rich tradition in the broader developmental sciences that we can draw from. Here, we provide a primer on longitudinal models, written in a beginner-friendly (and slightly irreverent) manner, with a particular focus on selecting among different modeling frameworks (e.g., multilevel versus latent curve models) to build the theoretical model of development a researcher wishes to test. Our aims are three-fold: 1) lay out a heuristic framework for longitudinal model selection, 2) build a repository of references that ground each model in its tradition of methodological development and practical implementation with a focus on connecting researchers to resources outside traditional neuroimaging journals, and 3) provide practical resources in the form of a codebook companion demonstrating how to fit these models. These resources together aim to enhance training for the next generation of developmental neuroscientists by providing a solid foundation for future forays into advanced modeling applications.

It’s About Time! Identifying and Explaining Unique Trajectories of Solidarity-Based Collective Action to Support People in Developing Countries

Social change occurs over years and decades, yet we know little about how people sustain, increase or diminish their actions over time, and why they do so. This article examines diverging trajectories of solidarity-based collective action to support people in developing nations more than 5 years. We suggest that sustained, diminished, and/or increased action over time will be predicted by identification as a supporter, group efficacy beliefs, and discrete emotions about disadvantage. Latent Growth Mixture Models ( N = 483) revealed two trajectories with unique signatures: an activist supporter trajectory with a higher intercept and weakly declining action; and a benevolent supporter trajectory with a lower intercept but weakly increasing action. The activist trajectory was predicted by social identification, outrage, and hope, whereas the benevolent supporter trajectory was predicted by sympathy. The results highlight the role of combinations of emotions and the need for person-centered longitudinal methods in collective action research.

Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study

Background India lacks epidemiological information on the disease burden of pediatric HIV. The National AIDS Control Program (NACP) estimates the numbers of HIV-positive children as a proportion of adult persons living with HIV. A third of HIV-positive children die before their first birthday and a half before they reach their second birthday. The early detection of HIV is crucial for the prevention of morbidities, growth delays, and death among HIV-positive children. Methods The study aimed to estimate the disease burden of pediatric HIV among children in ‘A’ category district of a high HIV prevalence state. An ‘A’ category district is defined by the presence of > 1% HIV prevalence among the general population, as estimated by HIV Sentinel Surveillance. The study used an innovative three-pronged strategy combining cross-sectional and longitudinal methods. The overall burden of pediatric HIV was calculated as a product of cases detected multiplied by a net inflation factor, for each of three strategies. Results The existing pool of HIV infection in the district is estimated to be 3266 (95% CI: 2621–4197) HIV positive children < 15 years of age, in a mid-year (2013) projected child population of about 1.4 million, thus giving an HIV prevalence of 0.23% (CI: 0.19–0.30) among children (0–14 years of age). The proportion of children among all people living with HIV in the district works out to 10.4% (CI: 8.6–13.5%). Conclusions The study estimate of 0.23% HIV prevalence among children (0–14 years of age) is higher than the NACP estimates (0.02) and is 2.5 higher than the Karnataka state estimate (0.09)22. Similarly, the proportion of children among all persons living with HIV in Belgaum district is 10.4% in this study, as against 6.54% for India. The study methodology is replicable for other settings and other diseases.

Analysing Transitions in Intimate Relationships with Panel Data

Panel data on intimate relationships are becoming increasingly available, enabling a closer examination and deeper understanding of why and how they develop over time. The aim of this review is to illustrate to what extent demographic research has made progress in understanding the dynamics of intimate relationships by examining panel data. We focus on hypotheses about key transitions throughout the progression of intimate relationships, ranging from union formation up to cohabitation, marriage, divorce and repartnering. For every hypothesis, we will present findings from cross-sectional data and illustrate whether the use of panel data and longitudinal methods modified the previous understandings of transitions in intimate relationships. * This article belongs to a special issue on "Identification of causal mechanisms in demographic research: The contribution of panel data".

Antecedents of tourists’ solo travel intentions

Purpose This study aims to empirically investigate the antecedents of tourists’ intentions to continue solo traveling. Design/methodology/approach Drawing on the theory of planned behavior (TPB), an extended model on solo travel intentions is developed that incorporates variables related to past solo travel experiences, namely, tourist satisfaction, pleasure and self-development. An online survey was applied to 187 solo tourists from different countries. Hypotheses were tested with structural equation modeling. Findings All the variables, except for subjective norms, are significant predictors of tourists’ intentions to continue solo traveling. Results confirm a good explanatory power of the extended TPB model. Research limitations/implications Caution must be exercised with the results as tourists’ actual solo travel behavior may differ from their intentions. Future research may investigate tourists’ actual behavior by using longitudinal methods and include additional demographic variables as antecedents. Originality/value This study empirically investigated the antecedents of tourists’ intentions to continue solo traveling – an under-researched topic. Previous research is mostly exploratory and largely focuses on female solo travelers.

Openness to Experience and Post-Traumatic Growth

Although many individuals retrospectively report feeling more open and receptive to new ideas and possibilities after experiencing adverse events, research specifically examining growth on this dimension of character (as opposed to more general psychological growth) remains scarce. To stimulate future theoretical and empirical work in this area, this chapter reviews and discusses existing scientific research pertaining to changes in the personality trait of openness to new experience following adversity. Studies using retrospective self-reports have shown that people judge themselves as more open following highly stressful events. Such research also suggests that changes in openness could even help foster more general psychological growth. It is, however, possible that people involuntarily distort their self-perceptions to cope with difficulties, and several other lines of research have produced contradictory findings. Correlational and experimental evidence has shown that stressful experiences can decrease openness. Most longitudinal studies examining changes in personality over time have found no changes in openness following negative events. To help reconcile previous contradictory findings, the authors propose a methodological agenda including using multiple methods to assess openness, complementing correlational with longitudinal methods to examine changes over time, studying everyday manifestations of openness (including how people deal with everyday stressors), and investigating potential moderators and mediators of growth in this trait. Such research will help increase clarity about the circumstances under which people may (or may not) become more open as a result of adversity.

Factors of involvement, in the activity in the structure of service loyalty of cadets in educational institutions of the Ministry of Internal Affairs of Russia

The article discusses theoretical and practical issues of personnel involvement research and defines the role of involvement factors in the structure of service loyalty of persons studying in an educational organization of the Russian Ministry of Internal Affairs. The significance of service loyalty in providing moral and psychological training for law enforcement agencies is discussed. On the basis of analysis of different theoretical statements it is found out that involvement and loyalty provide positive results of professional activity and increase its efficiency. The essence characteristics of involvement, which is a stable attribute that implies long-lasting concentration of an employee on the tasks and contributes to increase the professional dedication of an employee, are discussed. The empirical research using comparative and longitudinal methods has revealed reliable changes of involvement and loyalty indices of cadets during the whole period of training in a higher educational institution. The most significant changes are noted in the adaptation period of training, which is manifested in low values of professional and organizational loyalty, affective and normative loyalty. The study establishes an inverse proportional relationship between training time and cadets' involvement in activities. The results of the study suggest that the indicators of involvement and loyalty factors serve as predictive markers in managerial activity, when assessing the level of service loyalty of internal affairs officers. The empirical data obtained can be recommended for the organization of moral and psychological training of internal affairs officers.

Beyond millennials v baby boomers: Using kindness to assess generationalism across four age cohorts in Australia

Today’s young people (youth and young adults) are routinely understood in generational terms, constructed as narcissistic and selfish in comparison with their predecessors. Despite announcements of a weakening commitment to values of kindness and generosity, there is little empirical research that examines these trends. The Australian Survey of Social Attitudes shows that young people are more likely to be kind but are less likely to think most Australians are kind. This article investigates this tension using focus groups with Australians of different ages (corresponding to major generational groupings) and drawing on the sociology of generations. To differentiate between generation, period and age/life-cycle effects requires longitudinal methods. However, these qualitative data suggest that a ‘generationalist’ discourse of young people as narcissistic is powerful in Australia and that young people are both internalising and challenging this framing. They appear to be responding to common experiences of growing up with the social and economic uncertainties of an ‘until-further-notice’ world and express strong support for values of kindness and openness to difference.

Measurement in Intensive Longitudinal Data

Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often investigate constructs related to affect or mood and do so with multiple item scales. However, applications of intensive longitudinal methods often rely on simple sums or averages of the administered items rather than considering a proper measurement model. This paper demonstrates how to incorporate measurement models into DSEM to (1) provide more rigorous measurement of constructs used in intensive longitudinal studies and (2) assess whether scales are invariant across time and across people, which is not possible when item responses are summed or averaged. We provide an example from an ecological momentary assessment study on self-regulation in adults with binge eating disorder and walkthrough how to fit the model in Mplus and how to interpret the results.