Determinants of Social Expenditure in Sri Lanka

The study examines the determinants of social expenditure in Sri Lanka for the period 1970–2010. The data are from a new data set assembled by the authors. The social spending data are collected from the Central Bank of Sri Lanka on education, health, and also on welfare spending. The study explains the determinants of social spending considering the demand‐side and the supply‐side driving forces and finds that inequality issues have been a major concern of social policy in Sri Lanka. Similarly, this study implies the influence of political behavior to satisfy voters as explained by the fiscal illusion theory. The globalization is not significant for social expenditure as commonly assumed in developed countries. Even the consequences of the self‐interested behavior of bureaucrats are not evident in the Sri Lankan welfare sector.     

The Architecture of Rural Life: The Dangers of Dense Collective Efficacy for At-Risk Girls

Dense ties and acquaintanceship result in small communities that deal with issues on an individual, informal basis. When issues such as sexual assault arise, if a victim is willing to seek services, studies have found that rurality negatively impedes on this process. The current study takes place in a primarily rural state, representing social control mechanisms somewhat different from cityscapes. The project relies heavily on in-depth interviews from incarcerated girls and women, as well as contributions from community actors, to assess collective efficacy in rural communities, influence of gender dynamics, and the impact on at-risk girls. Tracing participants' community roots, the study gathers structural and cultural characteristics of the locale, assessing social control practices as reported by local professionals. Results challenge literature proclaiming solely positive results from high levels of collective efficacy, finding that strong collective efficacy in nonurban areas gathers close insider ties, but “outsiders,” which includes girls identified in this research, are defined quickly and negatively, placing them in significant peril. Policy recommendations include broader cultural shifts coupled with local involvement with school personnel and church-involved patrons serving the needs of families and at-risk girls.     

Research on Marital Satisfaction and Stability in the 2010s: Challenging Conventional Wisdom

Although getting married is no longer a requirement for social acceptance, most people do marry in their lifetimes, and couples across the socioeconomic spectrum wish their marriages to be satisfying and long lasting. This review evaluates the past decade of research on the determinants of satisfaction and stability in marriage, concluding that the scholarship of the past 10 years has undermined three assumptions that were formerly accepted as conventional wisdom. First, research exploiting methods such as latent class growth analyses reveal that, for most couples, marital satisfaction does not decline over time but in fact remains relatively stable for long periods. Second, contrary to predictions of behavioral models of marriage, negative communication between spouses can be difficult to change, does not necessarily lead to more satisfying relationships when it is changed, and does not always predict distress in the first place. Third, dyadic processes that are reliably adaptive for middle-class and more affluent couples may operate differently in lower income couples, suggesting that influential models of marriage may not generalize to couples living in diverse environments. Thus, the accumulated research of the past 10 years indicates that the tasks of understanding and promoting marital satisfaction and stability are more complex than we appreciated at the start of the decade, raising important questions that beg to be answered in the years ahead.     

Pressure to Attend Therapy,Dyadic Adjustment,and Adverse Childhood Experiences: Direct and Indirect Effects on the Therapeutic Alliance in Couples Therapy

In this study we examine the role that pressure to attend therapy, dyadic adjustment, and adverse childhood experiences (ACEs) play in developing the therapeutic alliance. A total of 351 couples received treatment as usual at three family therapy training clinics. Participants rated predictor variables at intake and alliance at the fourth session. Results of a path analysis indicate that each partner's dyadic adjustment is directly associated with the quality of her or his own alliance. In addition, when male partners report more ACEs and pressure to attend treatment, their own alliance scores decrease. Additionally, when one partner reports feeling pressure to attend therapy, the other partner's alliance decreases. Finally, for males, there is an indirect effect of dyadic adjustment on alliance through pressure to attend therapy. These results suggest that clinicians should routinely assess relationship adjustment, how pressured each partner is feeling to attend treatment, and ACEs; as these may impact alliance quality.     

An Introduction and Illustration of Bayesian Modeling in Couple and Family Therapy Research

Bayesian modeling is becoming increasing popular as a method for data analyses in the social sciences and can move couple, marriage, and family therapy (C/MFT) research forward. Bayesian modeling helps researchers better understand the uncertainty of findings and incorporate previous research into analyses. Other benefits of Bayesian modeling are the straightforward interpretation of findings, high-quality inferences even with small samples (in combination with an informative prior), and the ability to work with complex data structures (observations nested in relationships and time points) which are common in C/MFT research. This article introduces the benefits of Bayesian modeling and provides an example of an Actor–Partner Interdependence Model using R. Information on how to conduct the same analyses using Stata and MPlus is provided in the Supplemental Information.     

A non‐stationary bivariate INAR(1) process with a simple cross‐dependence: Estimation with some properties

This paper considers modelling of a non‐stationary bivariate integer‐valued autoregressive process of order 1 (BINAR(1)) where the cross‐dependence between the counting series is formed through the relationship of the current series with the previous‐lagged count series observations while the pair of innovations is independent and marginally Poisson. In addition, this paper proposes a generalised quasi‐likelihood (GQL) estimating equation based on the exact specification of the mean score and the auto‐covariance structure. The proposed approach is also compared with other popular techniques such as conditional maximum likelihood (CML), generalised least squares (GLS) and generalised method of moment (GMM) based on simulated data from the proposed BINAR(1). Moreover, the model is applied to weekly series of day and night road accidents arising in some regions of Mauritius and is compared with other existing BINAR(1) models.     

Parental advice to preadolescent bystanders about how to intervene during bullying differs by form of bullying

The current study examined parental advice given to fourth‐ and fifth‐grade preadolescents who imagined being bystanders to different forms of bullying (physical, verbal, property attack, social manipulation, exclusion). We assessed the frequency with which parents advised youth to follow specific intervention strategies (stop the bully, help/comfort the victim, tell adults), and we tested whether the frequency by which parents provided each kind of advice varied by the form of bullying described. One hundred and six fourth‐ and fifth‐grade preadolescents completed an interaction in which their parent gave them advice about how to respond if they were bystanders to five hypothetical bullying situations. Each situation described a different form of bullying. Across forms of bullying, parents most frequently told bystander children to intervene by telling an adult. However, advice differed based on the form of bullying presented. Parents most frequently advised children to “tell an adult” in response to physical bullying or property attacks, most frequently advised children to “help/comfort victims” in response to social exclusion and physical attacks, and most frequently advised children to “stop the bully” in response to verbal and social manipulation bullying.     

Cooperation and preference by peers in early childhood: A longitudinal study

Children who are more proficient in cooperation with peers tend to be more preferred. To date, the development of peer cooperation has been studied mainly in two research traditions, one focusing on action coordination and the other focusing on interaction quality. Both aspects of cooperation are relevant for children's peer relations, but it is unclear whether both aspects of children's earliest cooperation skills predict their later preference by peers after the transition into organized social groups in school. In this study, we assessed coordination proficiency and interaction quality of 181 Dutch children longitudinally from 2 to 4 years of age. No relation between early action coordination and later preference by peers at school was found. However, especially in girls more affiliative and fewer antagonistic behaviors at the age of two predicted likeability among classmates at school at the age of four. The findings shine new light on the earliest foundations of children's peer evaluations.     

Gender differences in life expectancy at birth in Greece 1994–2017

In this paper, we analyse the difference in life expectancy at birth between females and males in the Greek population between the years 1994–2017. After constructing life tables per gender, we used the method of Arriaga in order to decompose life expectancy’s differences by age and sex. We found that the gender gap increased until 2009 and decreased afterwards. Moreover, we estimated the differential contribution of the broad age groups of the population to the regulation of gender inequalities in longevity and studied the different effect of the causes of death. Besides age, the most important regulators are the neoplasms and the diseases of the circulatory system, followed by the external causes of morbidity and mortality, as well as the diseases of the respiratory system. All other causes of death play a marginal role. The results of the analysis indicate the need for the development and expansion of several public interventions and programs in order, not only to reduce the gender inequalities in longevity, but also to reduce the prevalence of several preventable diseases in the population.