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Background: Palliative care is insufficiently integrated in the continuum of care for older people. It is unclear to what extent healthcare policy for older people includes elements of palliative care and thus supports its integration. Aim: (1) To develop a reference framework for identifying palliative care contents in policy documents; (2) to determine inclusion of palliative care in public policy documents on healthcare for older people in 13 rapidly ageing countries. Design: Directed documentary analysis of public policy documents (legislation, policies/strategies, guidelines, white papers) on healthcare for older people. Using existing literature, we developed a reference framework and data extraction form assessing 10 criteria of palliative care inclusion. Country experts identified documents and extracted data. Setting: Austria, Belgium, Canada, Czech Republic, England, Japan, Mexico, Netherlands, New Zealand, Singapore, Slovenia, South Korea, Spain. Results: Of 139 identified documents, 50 met inclusion criteria. The most frequently addressed palliative care elements were coordination and continuity of care (12 countries), communication and care planning, care for family, and ethical and legal aspects (11 countries). Documents in 10 countries explicitly mentioned palliative care, nine addressed symptom management, eight mentioned end-of-life care, and five referred to existing palliative care strategies (out of nine that had them). Conclusions: Health care policies for older people need revising to include reference to end-of-life care and dying and ensure linkage to existing national or regional palliative care strategies. The strong policy focus on care coordination and continuity in policies for older people is an opportunity window for palliative care advocacy. [ABSTRACT FROM AUTHOR]

This study aims to identify the literacy skills of individuals whose highest level of education was in the field 'teacher training and educational sciences'. The study sample comprised 10,618 individuals in the field of teacher training and educational sciences, selected from 31 countries (participating in the International Adult Skills Assessment Programme during the 2014-2015 survey) using a multi-stage sampling method. The study employed multi-level latent class analysis and three-step analysis in order to determine both the number of multi-level latent classes of educators' literacy scores as well as the selected independent variables' success in predicting those latent classes. The analysis revealed that educators in Germany constituted the group with the highest literacy skills while educators from Singapore comprised the group with the lowest literacy skills. [This study was presented at the 9th International Congress of Educational Research. Ordu University, Ordu, Turkey.]

In this study, the variables having impact on the student motivation have been analyzed based on the articles, conference papers, master's theses and doctoral dissertations published in the years 2000-2017. A total of 165 research papers were selected for the research material and the data were collected through qualitative research techniques through document review and content analysis. According to the research results, the most important factors affecting student motivation are the fields of teacher, teachers' classroom management skills and their teaching methods. In this research, factors having less influence on the student motivation are parental communication, student characteristics and study fields. In addition, relational search type was used more than others, mostly students were selected as the study group and most researches were conducted in USA and Turkey.

Background and purpose: Social engagement is an important active aging strategy to promote older adults' mental health. The purposes of this study were to compare social engagement in older populations around the world and explore associations with mental health outcomes. Materials and methods: An international cross‐sectional survey was conducted from 2017 to 2019. Data were retrieved from The International Social Survey Programme for a secondary data analysis across 30 countries. This study applied the Taxonomy of Social Activities and its six levels as operational definitions for a consistent concept of social engagement for international comparisons. Results: In total, 9403 older adults with a mean age of 72.85 ± 6.40 years responded. The highest levels of older adults' social engagement were found in Switzerland, Thailand, and New Zealand. Older adults of a higher age, with a lower educational level, who were permanently sick or disabled, who had no partner, who were widowed or whose civil partner had died, who lived alone, and who had lower self‐placement in society had significantly lower social engagement than did their counterparts. In the regression model, older adults' social engagement positively predicted general health, self‐accomplishment, and life satisfaction, but negatively predicted loneliness and depression. Conclusions: In aging societies worldwide, encouraging older adults' social engagement would be beneficial to promote mental health. Implications for nursing practice and health policies: Community professional nurses can develop strategies of social engagement based on the needs and sociodemographic factors of older adults to improve their mental health. Developing efficient strategies and local policies by learning from successful experiences in other countries is important to promote social engagement in aging societies. [ABSTRACT FROM AUTHOR]

This paper focuses "interest in science" as one of the attitudinal aspects of scientific literacy. Large-scale data from the Programme for International Student Assessment (PISA) 2006 are analysed in order to describe student interest more precisely. So far the analyses have provided a general indicator of interest, aggregated over all contexts and contents in the science test. With its innovative approach PISA embeds interest items within the cognitive test unit and its contents and contexts. The main difference from conventional interest measures is that in most questionnaires, a relatively small number of interest items cover broad fields of contents and contexts. The science units represent a number of systematically differentiated scientific contexts and contents. The units' stimulus texts allow for concrete descriptions of relevant content aspects, applications, and contexts. In the analyses, multidimensional item response models are applied in order to disentangle student interest. The results indicate that multidimensional models fit the data. A two-dimensional model separating interest into two different "knowledge of science dimensions" described in the PISA science framework is further analysed with respect to gender, performance differences, and country. The findings give a comprehensive description of students' interest in science. The paper deals with methodological problems and describes requirements of the test construction for further assessments. The results are discussed with regard to their significance for science education. (Contains 5 tables and 6 figures.)

This paper presents one of the first cross-nationally comparative studies on the economic and social returns to grit (perseverance and passion for long-term goals). Specifically, we investigated whether grit incrementally predicted objective (income) and subjective (job satisfaction) career success over and above cognitive skills and educational attainment; whether grit's association with career success was moderated by individual characteristics; whether grit's associations with career success varied across countries; and whether this variation could be explained by labour market conditions (unemployment rates). Multi-group structural equation models with data from 6,738 respondents from 19 countries revealed that grit was incrementally associated with income and job satisfaction in some but not all countries. Grit's effect sizes were mostly modest, yet there were some indications for variations by education and labour market conditions. Overall, these findings suggest that the associations between grit and career success are not uniform but vary across individuals and contexts.

Higher education systems globally have seen major increases in women's participation and the overall trend in OECD countries has been a transition from the traditional male majority in enrolments to a substantial female majority. Prompted by a recent reversal of this trend, this paper explores gender differences in participation in higher education in 27 OECD countries between 1971 and 2015. While increased participation by women was thought to be part of the solution to persistent gender inequalities we argue that this is not an inevitable outcome. Our argument is based on an analysis of changes in the gender composition of the student population, using available secondary data. We explore how changing gender differentials are linked to the concurrent massification of HE, changing distribution of enrolments by field of study, changes in sex segregation by field, features of national education systems and wider social structural differences related to gender. Our analysis examines the complex interaction between discipline-specific levels of sex segregation and overall levels of gender parity. We argue that that sex segregation needs to be considered alongside women's long-standing higher participation rates to understand why the latter has not triggered a transformation in the gendered division of labour.

This paper derives efficiency scores for around 8,500 schools in 30 countries, using Programme for International Student Assessment 2012 data and a nonparametric approach called data envelopment analysis as method. On average, achievement scores of schools can be increased by 27%, holding inputs constant. Efficiency scores vary considerably both between and within countries; the role of managerial efficiency and structural differences due to operating in different contexts (countries) is disentangled. Subsequently, a number of school-level factors are found to be correlated with efficiency scores and indicate potential directions for improving educational results. Heterogeneity of such characteristics across countries and along the distribution of efficiency is explored.

Background: Data from the Programme for the International Assessment of Adult Competencies (PIAAC) revealed that countries systematically differ in their respondents' literacy, numeracy, and problem solving in technology-rich environments skills; skill levels also vary by gender, age, level of education or migration background. Similarly, systematic differences have been documented with respect to adults' participation in education, which can be considered as a means to develop and maintain skills. From a psychological perspective, motivation to learn is considered a key factor associated with both skill development and participation in (further) education. In order to account for motivation when analyzing PIAAC data, four items from the PIAAC background questionnaire were recently compiled into a motivation-to-learn scale. This scale has been found to be invariant (i.e., showing full weak and partial strong measurement invariance) across 21 countries. Methods: This paper presents further analyses using multiple-group graded response models to scrutinize the validity of the motivation-to-learn scale for group comparisons. Results: Results indicate at least partial strong measurement invariance across gender, age groups, level of education, and migration background in most countries under study (all CFI > 0.95, all RMSEA < 0.08). Thus, the scale is suitable for comparing both means and associations across these groups. Conclusions:Results are discussed in light of country characteristics, challenges of measurement invariance testing, and potential future research using PIAAC data.

Ample evidence indicates that a person's human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the estimated returns can be causally interpreted. Using the PIAAC Survey of Adult Skills, this paper explores several approaches that aim to address potential threats to causal identification of returns to skills, in terms of both higher wages and better employment chances. We address measurement error by exploiting the fact that PIAAC measures skills in several domains. Furthermore, we estimate instrumental-variable models that use skill variation stemming from school attainment and parental education to circumvent reverse causation. Results show a strikingly similar pattern across the diverse set of countries in our sample. In fact, the instrumental-variable estimates are consistently larger than those found in standard least-squares estimations. The same is true in two "natural experiments," one of which exploits variation in skills from changes in compulsory-schooling laws across U.S. states. The other one identifies technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across German municipalities. Together, the results suggest that least-squares estimates may provide a lower bound of the true returns to skills in the labor market.

In higher education systems that are partly tax funded, a country might not be willing to subsidize the education of international students who might leave after graduation. This paper analyzes how student migration affects governmental decisions regarding the private funding share of higher education for 22 OECD countries for the period of 2000-2011. Based on fixed effects estimations, we find a significant positive correlation. This result is robust to changes in the specification, including estimations for country groups and for an expanded lag structure. The use of an instrumental variable approach supports a causal interpretation.

In this paper, I argue for more and better learning metrics in higher education, eventually through an international, comparative assessment of students' learning outcomes. Better learning measures may help to improve transparency in the system by addressing the information asymmetry problem. If not addressed adequately, the lack of transparency could lead to "bubbles" comparable to those in financial markets. On a systemic level, the higher education community has a definite interest in filling the information gaps by making decisive steps forward in the development of valid and reliable learning metrics.