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Volunteer participation benefits societies and individuals. The objective of this study was to examine the roles of education and adult literacy in formal volunteering among a nationally representative sample of the U.S. middle-aged and older adults (45-74 years) by race and ethnicity (Whites, Blacks, Hispanics). Using cross-sectional data (n = 3,770) from the 2012/2014/2017 Program for the International Assessment of Adult Competencies (PIAAC), structural equation models were used to determine mediation relationships among educational attainment, literacy, and volunteering. The effect of educational attainment on formal volunteering was significantly greater among middle-aged and older Black adults compared to their Hispanic counterparts, as well as among middle-aged and older White adults compared to their Hispanic counterparts. However, literacy was the education-volunteering mediator among White adults only. Suggested policy implications include support for volunteer participation through culturally and socioeconomically sensitive approaches along with human capital development in adult life stages. [This paper was published in "Educational Gerontology" Oct 2022.]

In this chapter, we discuss changes in the age structure of the labor force, the need for continued skill upgrading over the life course to remain employable, patterns of participation in adult learning and development activities, and the role community colleges play in providing education and training to middle-aged and older adults. In an increasingly global and technology-based economy, it is relevant to compare the U.S. to other developed countries. [This paper was published in: E. F. Fideler (Ed.), "Handbook on Aging and Work" (pp. 327-347). Rowman & Littlefield, 2022.]

This study examined the associations between adult education and training (AET) participation, educational attainment, literacy skills, gender, and race/ethnicity among the U.S. adult population aged 25 to 65 years old (n = 5,450). Given the socioeconomic advancements of women and racial/ethnic minorities in the last few decades, including higher educational attainment, increased labor force participation, and greater income, and as new data becomes available, it is important to re-examine AET participation by gender and race/ethnicity in the U.S while controlling for educational attainment and literacy skills. This study employed the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC) public-use file (PUF). Binary logistic regression was used to examine (1) any AET; (2) formal AET; and (3) non-formal AET across all variables of interest. Indeed, educational attainment and literacy skills are associated with greater AET participation. Further analyses showed that more women than men participated in all forms of AET, and there were some variations in AET participation by racial/ethnic minorities. More Black, Hispanic, and other racial/ethnic minority adults participated in formal AET, and more Black adults participated in all forms of AET, compared to their White counterparts. This study also provides within-race/ethnicity group variations. [This is the online version of an article published in "Journal of Adult and Continuing Education."]

Despite increasing demand in distance education, relatively little is known about the demographic and socio-economic characteristics as well as basic skill levels of adult distance education participants at the national level in the U.S. This study analyzed the U.S. data from 2012/2014 and 2017 Program for International Assessment of Adult Competencies (PIAAC) to identify baseline determinants of non-formal (i.e., not for a formal credential or degree) distance education among adults aged between 25 and 65 years old. Results showed that higher educational attainment, employment, literacy skills and digital problem-solving skills were positively associated with non-formal distance education participation. As recent distance education is provided predominantly through the internet and digital device, digital skills may be of particular concern. These identified determinants should be reflected in policy interventions to close education gaps. Additionally, the findings of this study are useful for future research that focuses on psychological and behavioral factors. [This paper will be published in "Adult Education Quarterly."]

Advancing technology such as artificial intelligence and robots is steadily replacing jobs in the USA. Continuous skill-upgrading and re-skilling are critical for workers to remain employable throughout their careers. In these social and economic contexts, community colleges play significant roles to provide workforce education and training because of their open admission, lower tuition, and shorter and more specific occupational programs compared to four-year universities. However, the detailed data of jobs at risk of automation are currently unavailable. This study used the national occupation and risk-of-automation data (Frey & Osborne, 2017) to estimate specific numbers of jobs at risk by industries and age groups. Results showed that approximately 48% of the jobs could be replaced within two decades. Four industries (1) service; (2) sales and office; (3) natural resources, construction and maintenance; and (4) production, transportation, and material moving were at a particularly higher risk (up to 75%). At the same time, computer, engineering, and health care occupations had a lower risk (up to 12%). The estimated numbers of jobs at risk informs community colleges' strategic planning. [This is the advance online version of an article published in "Community College Journal of Research and Practice."]

Access to lifelong learning opportunities has long been discussed in terms of the economic benefits conferred by access to and engagement in further education by members of the labor force, particularly within the global knowledge economy. However, equitable access to lifelong education opportunities, particularly for low-skilled adults in the labor force, has been lacking. The Organisation for Economic Cooperation and Development (OECD) identified three models for funding adult learning: (1) individual learning accounts; (2) individual savings accounts; and (3) training vouchers. The current study discusses examples of these models, either proposed or implemented, across four countries or economic blocks - France, Canada, the United Kingdom, and the United States. In addition, to understand the importance of providing funding for education and training to adults with low levels literacy skills, we use data from the Program for the International Assessment for Adult Competencies (PIAAC) to compare participation in adult education and training (AET) by literacy skill levels. In all countries examined, adults with low literacy skills participated in AET at lower rates than those with middle and high levels of literacy skills. To be successful in reaching adults most in need of skill upgrading, financing models need to provide adequate funds for meaningful skill upgrades, have well-structured information sources (e.g., websites) that are easily navigated by the target population, and include policies to screen educational providers for program quality. [This paper will be published in "Adult Learning."]

Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and plausible values to facilitate these analyses. However, to date, little guidance is available for applied researchers in Education. In order to promote the use of large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Mplus. Methods: Concise overview and key unique aspects of large-scale assessment data from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC) are described. Using commonly-used statistical software including SAS and R, a simple macro program and syntax are developed to streamline the data preparation process. Then, two examples of structural equation models are demonstrated using Mplus. Results: With the practical guidance and resources provided in this study, education researchers can efficiently prepare and analyze large-scale assessment data such as PIAAC and similar dataset using Mplus. Some methodological limitations are also highlighted. Conclusions: This study summarized the key aspects of large-scale assessment data from PIAAC, and provided practical guidance and tools including a macro program and syntax to conduct advanced statistical analysis in Mplus. The suggested data preparation and analytic approaches can be immediately applicable with existing large-scale assessment data, although further refinement could be carried out in future research. [This paper was published in "Journal of Educational and Behavioral Statistics" (EJ1300359).]

This study examined how literacy skills and nativity status (foreign-born vs. U.S. born) are associated with motivation to learn (MtL). Nationally representative data (N = 8,670) of adults between the ages of 18 years old and older years were obtained from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC). Structural equation models showed that higher literacy skills (0-500 points) (b = 0.159, p < 0.05) were associated with greater MtL. Additionally, foreign-born individuals tended to have (b = -0.064, p < 0.05) lower MtL than U.S.-born individuals. Limited literacy skills, educational attainment, and being an immigrant are potential barriers to motivation towards life-long learning participation among middle-aged adults. [This paper was published in: J. P. Egan (Ed.), "Proceedings of the Adult Education in Global Times Conference." Ottawa, ON: Canadian Association for the Study of Adult Education." (ISBN 978-0-920056-53-0).]

Online health information is underutilized among Hispanics with low English proficiency in the U.S. This study examines the association between a unique measure of general English literacy, language use, and online health information seeking among Hispanic adults. Data for Hispanics ages 25 to 65 (N = 700) come from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC). Binary logistic regression models were used to predict online health information seeking as a function of literacy skill scores (0-500 points) and primary language use (Spanish vs. other). Literacy (Odds-Ratio = 1.012, p < 0.001) was a positive predictor, while speaking Spanish at home (Odds-Ratio = 0.352, p < 0.01) was a negative predictor of online health information seeking. Literacy skills and language use appear to be separate contributors of online health information seeking among Hispanic adults. Adult educational research and practice should consider literacy skills and English language use as separate and important predictors of online health information seeking among Hispanics in the U.S. [This paper was published in: J. P. Egan (Ed.), "Proceedings of the Adult Education in Global Times Conference." Ottawa, ON: Canadian Association for the Study of Adult Education." (ISBN 978-0-920056-53-0).]

Objectives: Routine cancer screening is widely recognized as an effective preventive strategy to reduce cancer mortality -- the second leading cause of death in the U.S. However, cancer screening requires a complex array of tasks such as seeking up-to-date guidelines, making appointments, planning hospital visits, and communicating with health care professionals. Importantly, modern health care largely relies on technology to disseminate the latest information and administer the system. Yet, little is known about the technology-related skills that are relevant to regular cancer screening. This study examined the association between problem-solving skills in the technology-rich environment (PSTRE) and cancer screening in later life. Methods: Using 2012/2014 Program for International Assessment of Adult Competencies data, binary logistic regressions with survey weights were used to estimate the association between PSTRE and four cancer screening behaviors among the corresponding target populations aged between 45 to 74 years old (n = 1,374 for cervical screening; n = 1,373 for breast screening; n = 1,166 for prostate screening; n = 2,563 for colon screening). Results: Results showed that greater PSTRE scores (0 - 500 points) were significantly and positively associated with prostate cancer screening (OR = 1.005, p < 0.05) among men, but not with colon (men and women) or cervical or breast (women) cancer screenings. Conclusions: Improvement in PSTRE may promote specific cancer screening behaviors. Our findings inform future policy discussions and interventions that seek to improve cancer screening among a vulnerable section of older populations. [This paper will be published in "European Journal of Cancer Prevention."]

Background: Online health information is underutilized among Hispanics with low English proficiency in the U.S. This study examines the association between a unique measure of general English literacy, language use, and online health information seeking among Hispanic adults. Methods: Data for Hispanics ages 25-65 (N?=?700) come from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC). Binary logistic regression models were used to predict online health information seeking as a function of literacy skill scores (0-500 points) and primary language use (Spanish vs. other). Results: Literacy (Odds-Ratio?=?1.012, p?< 0.001) was a positive predictor, while speaking Spanish at home (Odds-Ratio = 0.352, p?< 0.01) was a negative predictor of online health information seeking. Conclusion: Literacy skills and language use appear to be separate contributors of online health information seeking among Hispanic adults. Practice implications: Online health information providers should be aware of literacy skills and Spanish language use as barriers to online health information seeking among Hispanics, particularly those who have both limited literacy skills and predominantly Spanish language use. [This is the in press version of an article published in "Patient Education and Counseling" (ISSN 0738-3991).]

The objective of this study is to examine the associations between the motivation to learn, basic skills (i.e., literacy and numeracy), and organized adult education and training (AET) participation among the middle-aged and older adults in the USA. Rapid technological advancement and globalization necessitate individuals to engage in lifelong learning to actively participate in society. However, little is known about the roles of motivation to learn and basic skills in the AET participation in the U.S. adult population. We obtained the data from the 2012/2014 Program for International Assessment of Adult Competencies restricted-use file and adults aged 50 years and older (n = 2,580) are included. Structural equation models are used to examine (1) any AET, (2) formal AET and (3) non-formal AET participation as a function of the motivation to learn latent construct, literacy, numeracy, and other covariates. Results showed that the motivation to learn, literacy and numeracy are all positive predictors of non-formal AET participation. Only motivation to learn is associated with formal AET participation. Findings from this study may inform future interventions as well as policy changes to promote specific types of organized AET programs among older adult population in the USA. [This paper will be published in the "International Journal of Lifelong Education."]

We examine complex pathways that link health information seeking behavior with education and health literacy (decomposed into general literacy and numeracy), and how these pathways differ by perceived health status (need) among a nationally representative sample of Americans age 50 and older (n = 2,750). Data come from the Program for International Assessment of Adult Competencies (PIAAC). Multi-group structural equation models were used to examine the use of eight health information sources (newspapers, magazines, internet, radio, TV, books, friends/family, and health professionals). Findings partially support the long-standing notion that health seeking behaviors are directly linked to educational attainment, and provide some of the first nationally representative evidence for how education functions through distinct health literacy components to shape health information seeking behaviors by health status. Findings from this moderated mediation analysis point to the importance of examining, and addressing, health literacy disparities in access to and use of health information. [This paper will be published in "Journal of Health Communication."]

Problem-solving skills in the context of technologically complex modern societies have become increasingly important to health management in later life. This study is designed to investigate the associations between problem-solving skills in technology-rich environment (PSTRE) and health, and to explore whether age-differences exist. Using the data from the 2012/2014 Program for the International Assessment of Adult Competencies (PIAAC), we used logistic regression to examine the relationship between PSTRE and self-reported health among a representative sample of American adults aged 35 years and older (N = 3,260). Overall, greater PSTRE (OR = 1.012, p < 0.001) was significantly associated with better self-rated health even after adjusting for the sociodemographic characteristics. Yet, PSTRE was only partially predictive of health in some age groups. Our findings highlight the potential of PSTRE to reduce health disparities among middle-aged and older adults living in modern technology and information rich societies. [This is the online first version of an article published in "Journal of Applied Gerontology."]

Automation and advanced technologies have increased the need for a better understanding of the skills necessary to have a globally competitive workforce. This study used data from the Program for the International Assessment of Adult Competencies to compare problem solving skills in technology rich environments among adults in South Korea, Germany, Singapore, Japan, Canada, Estonia, the United Kingdom, the United States, and Australia. Overall, the United States had the lowest scores among all countries, and in all countries scores declined with age. The United States had higher proportions of survey participants in the lowest skill category and lower proportions in the top skill categories. The results of this study suggest changes in the United States educational and lifelong learning systems and policies may be necessary to ensure all adults have the necessary skills in a competitive workforce. [The paper will be published in "Adult Learning".]

Health literacy is often viewed as an essential skill set for successfully seeking health information to make health-related decisions. However, this general understanding has yet to be established with the use of nationally representative data. The objective of this study was to provide the first nationally representative empirical evidence that links health information seeking behaviors with health literacy among middle-age to older adults in the U.S. Data were obtained from the 2012/2014 Program for International Assessment of Adult Literacy (PIAAC). Our analytic sample is representative of adults age 45 to 74 (n = 2,989). Results showed that distinct components of health literacy (i.e., literacy and numeracy) were uniquely associated with the use of different health information sources (e.g., health professionals, the internet, television). Findings should be useful for government agencies and health care providers. [This paper was published in "Journal of Aging and Health" Online First Sep 2018.]

Objectives: Determine whether a specific numeracy skill cut-point(s) reflects an empirical threshold in the context of preventive health service utilization, and identify associations between numeracy and preventive health services utilization among middle-aged and older adults in the United States. Methods: A nationally representative sample (n = 2,989) of adults 45-years and older from the International Assessment of Adult Competencies (PIAAC) was analyzed. Binary logistic regression was used to examine the utilization of dental checkup, vision screening, influenza vaccination, and osteoporosis screening, using multiple numeracy level classifications. Results: A dichotomous classification of numeracy skill levels (low vs. moderate to high proficiency) was associated with dental checkup utilization, but vision screening, influenza vaccination, and osteoporosis screening. Conclusions: Middle-aged and older adults with sufficient numeracy skills are more likely to have had a dental check up in the past 12-months. Findings suggest that numeracy may be more relevant for long-term vs. short-term risk assessment in determining preventive health care service utilization. Clinical Implications: Two-level numeracy categories are recommended in preventive health contexts. Numeracy proficiency-sensitive risk communication by health care providers and education programs may enhance awareness of preventive health care and promote the utilization of specific preventive health service utilization among older adults. [This is the online version of an article published in "Clinical Gerontologist."]

This paper introduces a new correction scheme to a conventional regression-based event study method: a topological machine-learning approach with a self-organizing map (SOM).We use this new scheme to analyze a major market event in Japan and find that the factors of abnormal stock returns can be easily can be easily identified and the event-cluster can be depicted.We also find that a conventional event study method involves an empirical analysis mechanism that tends to derive bias due to its mechanism, typically in an event-clustered market situation. We explain our new correction scheme and apply it to an event in the Japanese market --- the holding disclosure of the Government Pension Investment Fund (GPIF) on July 31, 2015.

A major challenge in spin-based electronics is reducing power consumption for magnetization switching of ferromagnets, which is being implemented by injecting a large spin-polarized current. The alternative approach is to control the magnetic anisotropy (MA) of the ferromagnet by an electric field. However, the voltage-induced MA is too weak to deterministically switch the magnetization without an assisting magnetic field, and the strategy towards this goal remains elusive. Here, we demonstrate a new scheme of orbital-controlled magnetization switching (OCMS): A sharp change in the MA is induced when the Fermi level is moved between energy bands with different orbital symmetries. Using a ferromagnetic oxide interface, we show that OCMS can be used to achieve a deterministic and magnetic-field-free 90 degree-magnetization switching solely by applying an extremely small electric field of 0.05 V/nm with a negligibly small current density of 10^-2 A/cm^2. Our results highlight the huge potential of band engineering in ferromagnetic materials for efficient magnetization control.