Family complexity is increasing in Europe, experienced by a significant proportion of children. More evidence is needed in Europe how children’s family type influences their well-being, especially their family-related subjective well-being, and to what extent parenting practices are playing a role in these relationships. The aim of the paper is to study perceptions of children who live with two biological parents, with a biological and a stepparent, or with a single parent about the parenting practices of their (step)parents and their satisfaction with the people they live with. The analysis is based on the third wave of the “Children’s Worlds” harmonized dataset of 12-year-old children in Estonia, Finland, Hungary, Norway, Poland, and Romania. The findings reveal a ‘cascade of children’s appraisals’ by the family types—overall, living with two biological parents is the least and in a stepparent family the most complex family environment for children, reflected in their highest and lowest evaluations of parenting practices and family-related subjective well-being, respectively. The analyses showed that simple and complex family type differences in children’s family-related subjective well-being are entirely explained by parenting practices in Norway, Estonia, and Poland, but not or almost not at all in Finland, Hungary, and Romania. To conclude, in a caring, safe, and participation-enhancing family atmosphere, children can be inclusively flexible and adapt to new parent-figures.

As a response to the COVID-19 pandemic, social-distancing measures have been implemented worldwide, including school closures. Previous studies indicated that children's relational social cohesion with family (RSC-Fa) and friends (RSC-Fr) may have decreased during the pandemic, but some children described that positive experiences were gained from the confinement measures of social distancing. Mostly, these studies are qualitative or capture a single country and have an exploratory character. Using data collected in 2021 of more than 20,000 children primarily aged 9–13 years as part of the International Children's Worlds COVID-19 Supplement Survey from 18 countries (Germany, Turkey, Bangladesh, Italy, Albania, Romania, Chile, Wales, Taiwan, Belgium, Algeria, Israel, Russia, South Korea, Indonesia, Estonia, Finland, and Spain), this study aimed to examine how the COVID-19 pandemic has affected children's RSC-Fa and RSC-Fr and explore the role of relational factors. RSC-Fa and RSC-Fr are measured through satisfaction in relationships with family members and friends before and during the COVID-19 pandemic, respectively. We employed descriptive statistics, cluster analysis, and multinomial logistic regression analysis. Our analyses confirmed the decrease in RSC-Fa and RSC-Fr, with a noticeably bigger decrease in RSC-Fr. Five profiles of change in RSC emerged: (1) gainers in both RSC; (2) gainers in RSC-Fa and decliners in RSC-Fr; (3) no change in either RSC; (4) decliners in RSC-Fa and gainers in RSC-Fr; and (5) decliners in both RSC. The quantity and quality of children's relationships differ by their profiles of change in RSC. For example, it was significantly more likely that “decliners in both RSC” had to be at home all day because of COVID-19 than “gainers in both RSC” or “no changers.” Mainly, the quantity of relationship factors, and among different quality factors, only autonomy perceptions, help to explain the children belonging to the “gainers in both RSC” profile compared to the “no changers.” Meanwhile, almost all the quantity and quality of relationships factors help to explain children's belonging to the “decliners in both RSC” profile compared to “no changers.” In conclusion, our study confirmed the importance of keeping schools open to protect the RSC of children.

This study aims at ferreting out a sparse subset, among the many democracy indicators, that best predicts lack-of-corruption (LoC). Two factors enable the authors to improve on previous research. First, the Varieties of Democracy (VD) data have become available over an extended time span, involving an unprecedented number of separate indicators. Second, the authors apply previously neglected methods, such as Gaussian standardization and measures to avoid overfitting. They also reduce random error on the LoC side by using the mean of two separate indices, VD and Transparency International, that correlate with R² = 0.81. This results in an optimal set of 11 democracy indicators that predict the mean LoC with R² = 0.87, close to what one could ideally expect to achieve. Among the five main categories VD distinguishes, the indicators that predict lack-of-corruption are mainly part of Liberal and Egalitarian Democracy, with lesser incidence of Electoral Democracy. This leaves out Participatory, and Deliberative Democracy.