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Several studies have been published on disengaged test respondents, and others have analyzed disengaged survey respondents separately. For many large-scale assessments, students answer questionnaire and test items in succession. This study examines the percentage of students who continuously engage in disengaged responding behaviors across sections in a low-stakes assessment. The effects on calculated scores of filtering students, based on their responding behaviors, are also analyzed. Data of this study came from the 2015 administration of PISA. For data analysis, frequencies and percentages of engaged students in the sessions were initially calculated using students' response times. To investigate the impact of filtering disengaged respondents on parameter estimation, three groups were created, namely engaged in both measures, engaged only in the test, and engaged only in the questionnaire. Next, several validity checks were performed on each group to verify the accuracy of the classifications and the impact of filtering student groups based on their responding behavior. The results indicate that students who are disengaged in tests tend to continue this behavior when responding to the questionnaire items in PISA. Moreover, the rate of continuity of disengaged responding is non-negligible as can be seen from the effect sizes. On the other hand, removing disengaged students in both measures led to higher or nearly the same performance ratings compared to the other groups. Researchers analyzing the dataset including achievement tests and survey items are recommended to review disengaged responses and filter out students who are continuously showing disengaged responding before performing further statistical analysis.

In this study, we investigated factors predictive of disconnection, or not being in education, employment, or training (NEET), among young adults with at least a 2-year college degree. We also explored the extent to which disconnection influences civic participation and well-being among NEETs with and without college degrees. The authors used 2012 and 2015 Organisation for Economic Co-operation and Development (OECD) data from the Survey of Adult Skills in the Program for the International Assessment of Adult Competencies (PIAAC) for 29 countries, including the United States, along with US 2012 data from the Education Longitudinal Study of 2002 (ELS:2002), collected by the National Center for Education Statistics (NCES). Results highlight that college-educated individuals whose parents have low levels of educational attainment actually have a higher likelihood of becoming NEET relative to college-educated individuals whose parents are more highly educated. Study findings also emphasize the influence of economic and geographic differences (country-level for OECD and county-level for United States) on NEET rates, in addition to the extent to which mothers have a higher likelihood and fathers have a lower likelihood of being NEET relative to their childless peers and the influence of country-level family leave policies on the odds of being NEET across the OECD. College field of study also emerges as an important influence on disconnection across the 29 OECD countries in the study, but not in the United States separately. Finally, comparing results for college-educated NEETs and NEETs without degrees, we found that higher education appears to reduce the likelihood of community disengagement and reports of poor health among NEETs across the OECD countries. However, this is not the case within the United States where NEETs are less likely to be engaged in their communities and more likely to describe themselves as in poor health regardless of their educational attainment.

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.

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.]

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 article examines the extent to which parental socioeconomic status (SES) affects the likelihood of a child becoming a top-performing student, offering an international perspective by reporting this relationship in 31 developed countries. The impact of 3 important educational system characteristics (differentiation in terms of early tracking, standardisation, and private schooling) on the relationship between parental SES and top performance was determined. We employed multilevel logistic regression models on data from the Programme for International Student Assessment (PISA) 2015 (N = 216,980) to reveal that children with low parental SES have a lower probability of becoming a top-performing student than those with high parental SES, although this association differs between countries. The negative relationship between a disadvantaged parental background and top performance was not affected by the educational system characteristics under investigation.

This article examines the long-run effect of higher education, measured in average years of tertiary schooling, on the level and growth rate of national per capita income. It uses an improved dataset on educational attainments which not only reduces measurement error but also overcomes data comparability issues and allows us to estimate the long-run effect of human capital through higher education on economic development. Using unique long panel data for 36 advanced and emerging economies spanning over the period 1870-2010, we find that higher education has a positive and significant effect on the level and the growth rate of national per capita income. Specifically, our empirical results indicate that a 1% increase in educational attainment at higher education level would raise the growth rate of per capita income by about 0.01% to 0.02% over a five-year period. That is, at the sample mean, an increase in average tertiary education by one year would raise output growth by about 6% to 11% in five years. We find that the returns to female education are lower than the returns to male education at tertiary schooling levels. Our results are robust to alternative specifications.

This article was written in response to concerns that have been expressed about the possible consequences of an increasing number of countries overtaking the United States in educational attainment. International statistics on educational attainment were analyzed, questions about comparability of data were discussed, and the impact of different approaches to the organization of higher education on attainment rates was examined. The author concluded that comparing the rate of attainment of subbaccalaureate credentials between the United States and other countries is problematic both because of definitional issues, and as a consequence of the major transfer function of American community colleges. The article explains how colleges that previously offered short term vocational training in many European countries have evolved into vocationally-oriented baccalaureate granting institutions that have enabled their nations to achieve rapidly rising levels of baccalaureate degree attainment. It suggests that the experience of these countries may provide useful lessons--and cautions--for policy makers and educational leaders with respect to expanding the role of community colleges in awarding baccalaureate degrees.

Educational policies and practices are influenced by cultural, political, and economic factors, and this is also true of specialized educational approaches such as gifted education. Factors such as a country's cultural tendency toward egalitarianism or meritocracy, whether the political system is centralized or decentralized, and the degree to which the economy supports basic education for all students may be reflected in the way in which a country approaches gifted education. We examined gifted and talented education policies and practices in 38 Organisation for Economic Co-operation and Development (OECD) member and partner countries and considered how those policies and practices may reflect country-specific characteristics. In this article, we discuss ways in which gifted education in OECD countries may reflect cultural, political, and economic features of countries.

This article focuses on analysing the effect of educational differentiation policies of OECD educational systems on socioeconomically disadvantaged students, based on data from PISA 2009. The analysis is conducted on the basis of a definition of two subgroups of disadvantaged students: those that achieve high scores, and those obtaining scores that are significantly below the average for their country. Educational systems are classified in four models following the classification proposed by N. Mons. Results show that the more integrated the educational system, the greater the number of disadvantaged high achievers, and the lower the number of disadvantaged low achievers.

The dramatic growth in health expenditures is an important health policy concern worldwide. Therefore, understanding the factors that increase health expenditures provides policy makers with evidence for decision-making. We aim to examine long-term effects of carbon dioxide emission, urbanization rate and GDP per capita on health expenditures. This study investigates the effect of carbon dioxide emission, urban population, and GDP per capita on health expenditure for 21 OECD countries over the period 1992–2018. Panel ARDL Approach and Gengenbach, Urbain and Westerlund Panel Co-integration Test have been used in the article. Test results indicate the long-run relationship among health expenditure and carbon dioxide emission, urban population, and GDP per capita. Effect of carbon dioxide emission (CO2), urban population, and GDP per capita is significant and positive on health expenditure. Rapid economic growths of OECD countries recently and environmental pollution have increased health expenditures in the long term. [ABSTRACT FROM AUTHOR]