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The subpopulation of adults depends on non-online health information sources including their social networks and health professionals, to the exclusion of online sources. In view of the digital divide and health information disparities, the roles of race/ethnicity and digital skills are yet to be explored. A nationally representative sample of 6,830 adults from the Program for the International Assessment of Adult Competencies (PIAAC) was analyzed, using binary logistic regression. Black adults and adults with higher digital skills were less likely to be reliant on non-online health information sources, compared to White adults and those with lower digital skills, respectively. Differences in non-online health information source reliance by race/ethnicity and digital skills might be further nuanced by the relevant demographic and socioeconomic characteristics. Increasing digital skills may expand one's health information sources to include reliable online sources and empower adults to promote their health. [ABSTRACT FROM AUTHOR]

Volunteering, STEM education and occupation, and information-processing skills such as literacy, numeracy, and digital problem-solving skills are important indicators of a nation's well-being as they represent civic engagement, economic development, and the human capital of the population. Although these critical social indicators have been previously examined in silos, the interrelationships are yet to be examined in the adult populations in the United States. The current study analyzed the 2012/2014/2017 U.S. Program for the International Assessment of Adult Competencies (PIAAC) data of adults aged between 25 and 65 years old (n = 8,330). Results from the structural equation model showed that STEM education and occupation as well as information-processing skills independently promote volunteer participation. Also, STEM education and occupation are positively associated with information-processing skills. Yet, when simultaneously examining the mediation relationship, STEM education and occupation are no longer the promoters of volunteering. Findings from the current study can provide preliminary education, labor, and social policy implications for promoting the nation's economy and well-being, and inform future research to disentangle complex interrelationships across the important social indicators. [ABSTRACT FROM AUTHOR]

Students 25 years of age and older comprise one-third of the population in public two-year institutions, and these students face significant disadvantages in first-year retention and eventual graduation. Successfully passing college math and college English are important steps for adult students in building momentum toward a degree. Classroom context and classroom experiences play important roles in students' likelihood of passing college math and English. However, little is known about how the contextual features and experiences that are associated with the likelihood of passing differ depending on students' age. Using multilevel models and statewide administrative data, we examine variation by age in relationships between students' likelihood of passing a college math or English course and the characteristics of the course itself, peers in the course, the instructor teaching the course, and student behaviors that may bear on course outcomes. [ABSTRACT FROM AUTHOR]

This study highlighted how particular intersections of personal characteristics were related to Motivation to Learn (MtL) among adults. MtL is a prerequisite for adult education and training participation. However, little is known about MtL across subpopulations due to several methodological limitations. This study developed a national profile of MtL by key subpopulations that are defined by combinations of age, gender, education level, and literacy proficiency in the United States. Data were obtained from 2012/2014/2017 Program for International Assessment of Adult Competencies (PIAAC) restricted use file (N = 8400). The alignment optimization (AO) method was employed to estimate subpopulation means of a PIAAC-based latent MtL construct. Subpopulations with younger age, greater educational attainment, and higher literacy proficiency showed significantly greater MtL. [ABSTRACT FROM AUTHOR]