Intersectional inequalities in the transition to grandparenthood and cognitive functioning: A longitudinal Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)

Objectives

With aging societies, more people become vulnerable to experiencing cognitive decline. While normal aging is associated with a deterioration in certain cognitive abilities, little is known about how social determinants intersect to create late-life cognitive functioning inequalities. Simultaneously, the role of grandparenthood is central for older adults and their families. There are indications that social determinants intersect to modulate the effect of the transition to grandparenthood, but further evidence is needed. Our study investigates the relation of transition to grandparenthood with cognitive functioning and explores differences across intersectional strata.

Methods

Using longitudinal data from the Survey of Health, Ageing and Retirement in Europe, we analyzed a sample of 19,953 individuals aged 50-85 without grandchildren at the baseline. We applied Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy to investigate cognitive functioning differences across 48 intersectional strata, defined by sex/gender, migration, education, and occupation. We allowed the impact of becoming a grandparent to vary across strata by including random slopes.

Results

Intersectional strata accounted for 17.43% of the overall variance in cognitive functioning, with most of the stratum-level variation explained by additive effects of the stratum-defining characteristics. Transition to grandparenthood was associated with higher cognitive functioning, with a stronger effect for women. Stratum-level variation in the grandparenthood effect was modest.

Discussion

This study highlights the importance of social determinants for understanding heterogeneities in the association of transition to grandparenthood with cognitive functioning. Adopting an intersectional lens is useful to decompose inequalities and derive tailored interventions to promote equal healthy aging.

Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty

This study explores how researchers' analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions as they used the same data to independently test the same prominent social science hypothesis: that greater immigration reduces support for social policies among the public. In this typical case of social science research, research teams reported both widely diverging numerical findings and substantive conclusions despite identical start conditions. Researchers' expertise, prior beliefs, and expectations barely predict the wide variation in research outcomes. More than 95% of the total variance in numerical results remains unexplained even after qualitative coding of all identifiable decisions in each team's workflow. This reveals a universe of uncertainty that remains hidden when considering a single study in isolation. The idiosyncratic nature of how researchers' results and conclusions varied is a previously underappreciated explanation for why many scientific hypotheses remain contested. These results call for greater epistemic humility and clarity in reporting scientific findings.

Flexible societies excelled in saving lives in the first phase of the COVID-19 pandemic

Background

Previous studies have shown that national cultural traits, such as collectivism–individualism and tightness–looseness, are associated with COVID-19 infection and mortality rates. However, although East Asian countries have outperformed other countries in containing COVID-19 infections and lowering mortality in the first pandemic waves, no studies to date have examined flexibility-monumentalism, a cultural trait that uniquely distinguishes East Asia from the rest of the world. Moreover, none of the previous studies have explored mechanisms underpinning the association between national culture and COVID-19 mortality.

Aims

Our study fills in these gaps by examining the association between flexibility-monumentalism and COVID-19 mortality, adjusting for important covariates and by analyzing mask wearing and fear of COVID-19 during the first weeks of the pandemic as plausible mechanisms underpinning this association.

Methods

We constructed and analyzed a dataset including 37 countries that have valid information on flexibility-monumentalism, COVID-19 deaths as of 31 October 2020 (before the start of vaccination campaigns), and relevant covariates including two other national cultural traits (individualism–collectivism and tightness–looseness) and other national characteristics (economic, political, demographic and health). Multiple linear regression with heteroscedasticity-consistent standard errors was used to assess the independent effect of flexibility-monumentalism on COVID-19 mortality. Mediation was assessed by examining the indirect effects of flexibility through mask wearing and fear of COVID-19 and determining the statistical significance through bootstrapping. Graphical and delete-one analysis was used to assess the robustness of the results.

Results

We found that flexibility was associated with a significant reduction in COVID-19 mortality as of 31 October 2020, independent of level of democracy, per capita GDP, urbanization, population density, supply of hospital beds, and median age of the population. This association with mortality is stronger and more robust than for two other prominent national cultural traits (individualism–collectivism and tightness–looseness). We also found tentative evidence that the effect of flexibility on COVID-19 mortality may be partially mediated through mask wearing in the first weeks of the pandemic.

Explaining wage differentials by field of study among higher education graduates: Evidence from a large-scale survey of adult skills

Why do some fields of study in higher education yield higher wage returns in the labor market than others? Human capital perspectives suggest that differences in skills are a major source of between-fields wage differentials. We assess this explanation using data from the Programme for the International Assessment of Adult Competencies (PIAAC). Our pooled analysis of 17,590 graduates from 29 countries indicates that differences in general cognitive (literacy and numeracy) skills matter relatively little, although numeracy skills do play a meaningful role in accounting for the high wages of STEM (science, technology, engineering, and mathematics) graduates. Specific skills, proxied by skill use on the job, explain a substantial portion of between-field wage differentials. Remarkably, we find that the sex composition of the field of study remains important after taking skills into account, particularly for explaining the wage advantage of STEM graduates. Comparative analyses grouping the 29 countries into four institutional clusters-Social-democratic, Conservative, Liberal, and Post-communist-show that these general patterns are broadly similar across different institutional contexts.

Lack of skills or formal qualifications? New evidence on cross-country differences in the labor market disadvantage of less-educated adults

We use PIAAC data on the literacy and numeracy skills of 49,366 25-to-54-year-olds in 27 countries to shed new light on cross-national variation in the labor market disadvantage of less-educated adults (i.e., those who have not completed upper secondary education). Our empirical analysis focuses on the occupational status gap between less-educated adults and those with a degree at the upper secondary level and yields three main findings. First, individual-level differences in literacy and numeracy skills are an important source of cross-national variation in labor market inequalities by educational attainment, but substantial gaps in occupational status remain even after accounting for individuals' actual skills and further socio-demographics. Second, this remaining occupational status gap rises with a country's level of "skills transparency" (i.e., the extent to which formal qualifications are more informative about actual skills): labor market gaps increase as the skills gap between the two educational groups increases and as the within-group distribution of skills becomes more homogeneous. Third, country differences in skills transparency seem to be the primary mediating channel for the inequality-enhancing effect of tracking in secondary education found in previous research.