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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.]

Framing has previously been studied in the field of pandemic preparedness and global health governance and influenza pandemics have usually been framed in terms of security and evidence-based medicine on a global scale. This paper is based on the pandemic preparedness plans, published after 2009, from eight European countries. We study how pandemic preparedness is framed and how pandemic influenza in general is narrated in the plans. All plans contain references to ‘uncertainty’, ‘pandemic phases’, ‘risk management’, ‘vulnerability’ and ‘surveillance’. These themes were all framed differently in the studied plans. The preparedness plans in the member states diverge in ways that will challenge the ambition of the European Union to make the pandemic preparedness plans interoperable and to co-ordinate the member states during future pandemics. [ABSTRACT FROM PUBLISHER]

This paper explores linguistic landscapes and the enactment of public visibility and presence of non-majority linguistic groups in EU member states. Non-majority linguistic groups gain power, visibility and presence through the introduction of bilingual or multilingual signposts on roads, streets, squares, and public buildings in towns and cities where a given linguistic group represents a significant population share. The article offers a comparative analysis of language policies of EU member states regarding enactment of official bilingual or multilingual signs in public space. Twenty EU member states have signed the "European Charter for Regional or Minority Languages," while 17 members have ratified it. In addition, the Charter of Fundamental Rights, an integral party of the Lisbon Treaty, stipulates that language diversity is one of the fundamental values respected by the EU. Hence, this comparative research assesses various practices employed by member states in relation to the proclaimed values of multilingualism. Consequently, the paper depicts and compares different language policies that produce linguistic landscapes in EU member states. Finally, it tries to determine whether there is a convergence towards a common EU policy on bilingual and multilingual signs in public space.

This paper explores patterns in participation in adult education and training (AET) by comparing five countries with high participation rates (the Nordic countries and the Netherlands) with three countries with significantly lower participation rates (France, Poland and the Slovak Republic). Using PIAAC data the paper examines differences in the levels of demand for AET as well as variations in barriers to AET participation between the two groups of countries. The demand for AET is higher than the actual participation rate since it includes those who do not participate although they wish to. The demand for AET is substantially higher in countries with high participation rates. Further, the structure and level of barriers is quite similar in the two groups of countries. Countries with low AET participation rate do not have a higher proportion of individuals reporting barriers to AET participation; that they do not participate in AET although they wish to. In both groups of countries demand for AET is strongly associated with the individuals' educational level. The findings are discussed by drawing on previous studies on drivers of and barriers to participation in AET.

Context: Existing studies have explored the association between workplace training and wages suggesting that training participation may have a positive association with wages. However, we still know very little about whether this association varies between men and women. Through its potential positive association with wages, training may balance wage differences between men and women. In addition, the gender wage gap varies across the wage distribution. Differences in the association between training participation and wages for men and women across the earnings spectrum may offer an explanation as to why the discrepancy in female/male earnings is larger at some point of the wage distribution compared to others. Approach: Using data from the Programme for International Assessment of Adult Competencies (PIAAC) and unconditional quantile regression, this paper examines whether the association between workplace training and wages differs between men and women at different points of the wage distribution across 14 European countries. To partly control for endogeneity in training participation, detailed measures of cognitive skills have been included in the models. Findings: Findings show gender differences in the association between training and wages across the wage distribution. In most countries, results indicate larger training coefficients for women than men at the lower end of the wage spectrum whereas they are larger for men at the top. This pattern holds across most countries with the only exception of Liberal ones, where women benefit less than men across the entire wage spectrum. Conclusions: The findings of this work reveal that distributional variations in returns to workplace training follow a similar pattern across industrialized countries, despite their different institutional settings. Moreover, differences in training coefficients of men and women at different parts of the wage distribution suggest that training could reduce gender wage differences among low earners and potentially widen the gap in wages among individuals at the top of the wage distribution.

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]

Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated substages, this current paper computes the educational economy efficiency of the Organisation for Economic Co-operation and Development (OECD) countries bearing in mind the characteristics related to SDGs. The contribution of our study is the use of a novel approach to computing the educational economy efficiency using relational network DEA with GAMS. Even though some interesting differences reveal in the efficiency of the countries, the findings show that countries with high-efficiency scores are clustered around countries like Latvia, Slovenia, and Korea.

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.

Engagement with stakeholders is an essential part of the research process. This is particularly the case for early autism research with infant cohorts and their families, where a range of ethical issues are pertinent. Here, we report on a large survey of parents who have a child on the autism spectrum (n = 1040) which specifically probed attitudes to early autism research. The large majority of parents showed positive attitudes overall, and these were associated with greater access to services, higher service quality ratings and higher rates of intellectual disability among their children. Parents valued the scientific goals of research, but half of parents also reported that an intervention component would be an essential prerequisite for them to participate in research. If enrolled in a study, parents were positive about most commonly used measures though less favourably disposed towards brain scans for children. They valued direct contact with the research team and openness in data sharing. We interpret our findings in terms of lessons for the early autism research community and for stakeholder engagement projects. [Members of the COST ESSEA Working Groups contributed to the writing of this paper.]

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.

In this paper an analysis is carried out whether objective tests and subjective self-assessments in international large-scale studies yield similar results when looking at cross-national differences in the effects of skills on earnings, and skills patterns across countries, fields of study and gender. The findings indicate that subjective skills measures do not correlate well with objective measures of similar constructs when looking at cross-national differences. Countrywise associations between subjective skills measures and earnings do not correlate well with those found using objective skills measures. Moreover, cross-national differences in the level of subjective skills measures do not correlate well with cross-national differences in skill levels based on objective tests. Nor do gender differences found using subjective skills measures correlate with those found using objective skills measures. This does not mean that self-assessments cannot be used, but they need to be restricted to analysing within-country differences. Within countries, self-assessments do a good job in predicting skills differences across fields of study and also in predicting the effect of skills on earnings. When comparing gender differences in skills levels within countries, however, one needs to be aware that females tend to overestimate their skills levels in typical "female" domains like literacy.