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Aims To report a systematic review of the psychometric properties of self-report instruments to identify the symptoms of anxiety in pregnancy to help clinicians and researchers select the most suitable instrument. Background Excessive anxiety in pregnancy is associated with adverse birth outcomes, developmental and behavioural problems in infants and postnatal depression. Despite recommendations for routine psychological assessment in pregnancy, the optimal methods to identify anxiety in pregnancy have not been confirmed. Design Psychometric systematic review. Data sources A systematic literature search of the multiple databases (1990-September 2014). Review methods Identification of self-report instruments to measure anxiety in pregnancy using COSMIN guidelines to assess studies reporting a psychometric evaluation of validity and reliability. Results Thirty-two studies were included. Studies took place in the UK, Australia, Belgium, Canada, Germany, Italy, Scandinavia, Spain and the Netherlands. Seventeen different instruments were identified. Measures of validity were reported in 19 papers and reliability in 16. The overall quality of the papers was rated as fair to excellent using the COSMIN checklist. Only one paper scored excellent in more than one category. Conclusion Many instruments have been adapted for use in different populations to those for which they were designed. The State Trait Anxiety Inventory, Edinburgh Postnatal Depression Scale and the Hospital Anxiety and Depression Scale have been tested more frequently than other instruments, yet require further assessment to confirm their value for use in pregnancy. [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.]

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.)

Cross-border higher education institutions are considered a main way to fulfill the educational internalization in Mainland China; to some extent they represent the attitude of entering the international market. In this paper, the history, status quo, and future of Chinese-foreign cooperatively-run schools are analyzed and discussed. Cross-border higher education institutions in Mainland China have experienced the process from accidental and disorder to a systematic and quality orientation.

This paper presents a bibliometric analysis of highly cited articles published in the Web of Science category "Education and Educational Research" in the Social Science Citation Index (SSCI). A total of 2091 journal articles published in this category and cited more than 100 times up to the end of the year 2016 were retrieved as highly cited articles. Distributions of highly cited articles per publication year, journals, institutions and countries were analysed, as well as the citation life cycle of the top-cited articles. The USA, its institutions and researchers are the absolute leaders in the category of Education and Educational Research according to the results of the conducted analysis.

This paper empirically examines the impact of academic research on high-tech manufacturing growth of 28 Organisation for Economic Co-operation and Development (OECD) and emerging countries over the 1991-2005 period. A standard research and development (R&D) expenditure based measure is found to be too general to capture the input in high-tech research. To overcome this problem, a novel proxy for high-tech research investment--the supercomputer capacity--is proposed. Empirical evidence strongly supports this choice of variable. It is also found that academic R&D exerts a larger growth effect on high-tech output than its industry and government counterparts, but only the impact differential between academic and government R&D is statistically significant.

Accessible summary For some heron addicts, heroin-assisted treatment is more efficacious than methadone treatment., Seven European countries have implemented outpatient centres where patients self-administer pharmaceutical heroin under close supervision., Nurses deliver pharmaceutical heroin and supervise administration. The two main concerns are overdosing and smuggling., Nurses are convinced of the utility of this treatment for severe heroin addicts., Abstract Heroin-assisted treatment (HAT) is a solution for improving the condition of treatment-resistant heroin addicts. Since 1994, six randomized controlled trials have concluded that HAT is more efficacious than oral methadone for severe heroin addicts. We visited seven HAT treatment centres in four countries in order to observe diacetylmorphine (DAM) administration and to study the main concerns of the staff. Nurses were concerned by the risk taken if a previously intoxicated patient received his dose of DAM. Another concern was the smuggling of DAM doses. The HAT centres face a dilemma: treating patients while at the same time allowing their risky street habits in the centre. [ABSTRACT FROM AUTHOR]

This paper is a macro study on higher education R&D and its impact on productivity growth. I measure the social rate of return on higher education R&D in 17 high-income OECD countries using country level data on the percentage of gross expenditure on R&D performed by higher education, business, and government sectors over the period 1981-2006. Empirical results suggest that lagged R&D performed by higher education is positively affecting productivity growth in all specifications. The long-run propensity of productivity growth to R&D performed by the higher education sector is also found to be positive and significant while it is found be insignificant to business R&D. (Contains 13 notes, 3 figures and 8 tables.)

While higher education is regarded a high priority for economic development in many countries, public budgets often fall short to support desired levels of expansion in higher education. This leads to cost-sharing: students and their families are required to contribute more to the costs of higher education. This paper explores worldwide trends to cope with this issue based on the following questions: Is it fair to ask for larger contributions from students? What are the global patterns and forms of higher private shares in the costs of higher education? And what is the impact of cost-sharing on higher education access and equity? (Contains 4 tables and 2 footnotes.)

This paper presents a model of the approaches open to government to ensure that early childhood services are affordable to families. We derived the model from a comparative literature review of affordability approaches taken by government, both in Australia and internationally. The model adds significantly to the literature by proposing a means to understand and assess the numerous options for affordability funding. The model suggests that the options fall into only three basic approaches: operational funding, fee subsidies and tax relief. Application of this simple model helps clarify the costs and benefits of particular choices within these approaches. We predict that the choices affect cost to government, affordability to families, and participation by children in early childhood services. (Contains 2 tables.)

This paper examines the extent that material, social, and cultural resources and schools account for the relationship between socioeconomic background and student achievement among 15-year-olds in 30 countries. Generally, cultural factors play a more important role in most countries although in a small minority of countries, material resources have a substantial impact. Most often, social resources have little impact. In many countries, educational differentiation--that is, school tracks and school types, and curriculum tracking within schools--mediates the relationship between socioeconomic background and student achievement. Countries with highly tracked systems tend to show stronger relationships. On average, over 60% of the effect of socioeconomic background on achievement is accounted for by these factors. These findings are independent of whether achievement in reading, mathematics, or science is examined. The implications of this study for reducing socioeconomic inequalities in education are discussed.