Effects of school choice on the margin: The cream is already skimmed

Critics of school choice argue that cream-skimming will worsen outcomes for those left behind in public schools. Since “high ability” families may have already sorted themselves out of the schools in question, this paper will examine whether existing within-school heterogeneity leaves any scope for cream-skimming to operate. It asks, “given the current level of within-school heterogeneity, how strong would peer effects have to be to significantly worsen outcomes for those left behind?” In order for cream-skimming to lower math test scores by one half-year's progress, the peer effect would have to be as strong as increasing class sizes by 8–20 students, or cutting per-student funding by $400–2000. These results indicate that current levels of within-school heterogeneity are so low that peer effects would have to be unrealistically strong to give cream-skimming any bite.     

Testing the validity of value‐added measures of educational progress with genetic data

Value‐added measures of educational progress have been used by education researchers and policy‐makers to assess the performance of teachers and schools, contributing to performance‐related pay and position in school league tables. They are designed to control for all underlying differences between pupils and should therefore provide unbiased measures of school and teacher influence on pupil progress, however, their effectiveness has been questioned. We exploit genetic data from a UK birth cohort to investigate how successfully value‐added measures control for genetic differences between pupils. We use raw value‐added, contextual value‐added (which additionally controls for background characteristics) and teacher‐reported value‐added measures built from data at ages 11, 14 and 16. Sample sizes for analyses range from 4,600 to 6,518. Our findings demonstrate that genetic differences between pupils explain little variation in raw value‐added measures but explain up to 20% of the variation in contextual value‐added measures (95% CI = 6.06% to 35.71%). Value‐added measures built from teacher‐rated ability have a greater proportion of variance explained by genetic differences between pupils, with 36.3% of their cross‐sectional variation being statistically accounted for by genetics (95% CI = 22.8% to 49.8%). By contrast, a far greater proportion of variance is explained by genetic differences for raw test scores at each age of at least 47.3% (95% CI: 35.9 to 58.7). These findings provide evidence that value‐added measures of educational progress can be influenced by genetic differences between pupils, and therefore may provide a biased measure of school and teacher performance. We include a glossary of genetic terms for educational researchers interested in the use of genetic data in educational research.     

The Effects of Class Size on Classroom Processes: 'It's a Bit Like a Treadmill – Working Hard and Getting Nowhere Fast!'

Despite current moves in the UK to limit class sizes for young children in school, there is still a disturbing lack of research evidence on the effect of class size differences on pupils' educational progress and experience. Past research has concentrated on the effects on outcomes such as pupils' school attainments in basic areas. Much less is known about classroom processes that might mediate any such effects, though such knowledge is more useful for practice and policy. Drawing on a current programme of research at the Institute of Education, University of London, this paper identifies five processes likely to be connected to class size: within class grouping practices, the nature and quality of teaching, pupil attention in class, pupil adjustment to school and effects on teachers' morale, stress and enthusiasm. Relevent research is reviewed, and in line with this research the paper concentrates on the primary school years.     

Socioeconomic Gaps in Academic Achievement Within Schools: Are They Consistent Across Subject Areas?

Few studies have examined the correlates of within-school socioeconomic gaps in academic achievement corresponding to subject areas across schools. This study addressed this limitation with data from the New Brunswick School Climate Study (N = 6,883 students from 148 schools) which contained measures on academic achievement in four subject areas (mathematics, science, reading, and writing) as well as student and school background characteristics. Results of multivariate, multilevel analyses showed that within-school socioeconomic gaps were similar between reading and writing as well as between mathematics and science. Furthermore, the interrelationships of within-school socioeconomic gaps in academic achievement corresponding to the four subject areas across schools were not much influenced by student background characteristics (gender, Native status, number of parents, and number of siblings) and characteristics of school context and climate (school size, school mean SES, disciplinary climate, academic expectation, and parental involvement).     

PREDICTION OF WITHIN-SCHOOL SYSTEM VARIANCE IN TEST SCORES FROM WITHIN-COMMUNITY VARIANCE IN SOCIOECONOMIC STATUS 1

Prediction of school systems' scores on cognitive tests from average socioeconomic indices for communities has proved very helpful for several applications. It would also be useful to be able to predict within-school system variance in test scores from within-community variance in socioeconomic status. The present study examined correlations between standard deviations of test scores and an index of within-community variability in income. These correlations were of borderline significance. It was noted that correlations among test standard deviations themselves were quite low, suggesting that within-school system variance is a characteristic of less generality than school systems' median performance in different test areas.     

Achievement-related within-school socioeconomic gaps in science subjects in China: evidence on existence,consistency, and compensation

Using data from the 2011 (Chinese) Student Academic Achievement Evaluation, we examined whether within-school socioeconomic gaps in science achievement exist across science subjects, how consistent they are, and whether there are relationships between school average science achievement and within-school socioeconomic gaps in science achievement. Results of multivariate multilevel analyses indicate that for both fathers and mothers within-school socioeconomic gaps in science achievement existed among schools but did not vary much across schools. School mean socioeconomic status and teacher experience were related to these gaps. Schools were strongly consistent in within-school socioeconomic gaps in science achievement across science subjects, and this consistency was independent of (robust to) student and school characteristics. The relationships between school average science achievement and within-school socioeconomic gaps in science achievement were rather weak among schools across science subjects, and the addition of school characteristics to student characteristics effectively demolished the relationships.     

A review of research on Project STAR and path ahead

Understanding the effects of class size reduction (CSR) has been an enduring issue in education. For the past 3 decades, Project STAR has stimulated research and policy discussions regarding the effects of CSR on a variety of outcomes. Schanzenbach (2007) reviewed STAR studies and concluded that small classes improved student academic outcomes. Since her review, however, some research has challenged this conclusion. This paper reviews these recent challenges, comparing past and recent studies. This review is considered together with studies on large-scale CSR policies in the US and CSR studies outside the US. We conclude by suggesting a direction for future research.     

Do reductions in class size raise students’ test scores? Evidence from population variation in Minnesota's elementary schools

Many U.S. states and cities spend substantial funds to reduce class size, especially in elementary (primary) school. Estimating the impact of class size on learning is complicated, since children in small and large classes differ in many observed and unobserved ways. This paper uses a method of Hoxby (2000) to assess the impact of class size on the test scores of grade 3 and 5 students in Minnesota. The method exploits random variation in class size due to random variation in births in school and district catchment areas. The results show that reducing class size increases mathematics and reading test scores in Minnesota. Yet these impacts are very small; a decrease of ten students would increase test scores by only 0.04–0.05 standard deviations (of the distribution of test scores). Thus class size reductions are unlikely to lead to sizeable increases in student learning.     

The impact of a universal class-size reduction policy: Evidence from Florida's statewide mandate

Class-size reduction (CSR) mandates presuppose that resources provided to reduce class size will have a larger impact on student outcomes than resources that districts can spend as they see fit. I estimate the impact of Florida's statewide CSR policy by comparing the deviations from prior achievement trends in districts that were required to reduce class size to deviations from prior trends in districts that received equivalent resources but were not required to reduce class size. I use the same comparative interrupted time series design to compare schools that were differentially affected by the policy (in terms of whether they had to reduce class size) but that did not receive equal additional resources. The results from both the district- and school-level analyses indicate that mandated CSR in Florida had little, if any, effect on student achievement.     

School and teacher factors associated with frequency of ICT use by mathematics teachers: Country comparisons

This paper explores school and teacher factors that are associated with the frequency of use of ICT by mathematics teachers. The SITES 2006 data base was used to compare countries with a relative high percentage of frequently ICT-using mathematics teachers (HIMA countries) with countries with a relative low percentage of frequently ICT-using mathematics teachers (LOMA countries). Meaningful effect sizes (≤?0.5 or ≥0.5) for 29% of the items in the SITES 2006 database were found. The findings suggest that mathematics teachers in HIMA countries, more than in LOMA countries apply a learner-centered approach in their educational practice and have a focus on life long learning competencies. In addition, compared to LOMA countries, school leaders in HIMA countries, are active in stimulating the use of ICT and encouraging teachers to apply new ways of teaching and learning. The school level items of the SITES 2006 database with meaningful effect size were factor-analyzed resulting in five factors: 1. active communication, 2. school leadership development, 3. assessment orientation, 4. ICT use by school leaders and 5. Bottom–up change orientation. Country profile scores for HIMA and LOMA countries and for culturally comparable countries were generated to illustrate how these country profiles can be used to inform ICT policy.     

Bullying,education and earnings: Evidence from the National Child Development Study

We explore the effect of bullying at school on the educational attainment of a sample of individuals drawn from the British National Child Development Study (NCDS). Our empirical findings suggest that school bullying has an adverse effect on human capital accumulation both at and beyond school. Moreover; the impact of bullying on educational attainment at age 16 is found to be similar in magnitude to class size effects. Furthermore, in contrast to class size effects, the adverse influence of bullying on educational attainment remains during adulthood. In addition, being bullied at school influences wages received during adulthood as well as indirectly influencing wages via educational attainment.     

透视美国小班化教育改革浪潮

自20世纪70年代以来，小班化教育就已成为美国政府和民众所青睐的教育革新措施之一，90年代左右的两份权威的实验性研究报告：田纳西州的STAR计划和威斯康星州的SAGE计划终于推动小班化教育成为席卷美国教育改革的浪潮，但美国的教育学者们也从实施中发现了小班化改革的不少问题，其教育决策者们开始关注小班化之外的其他教育改革措施。     

The high performance of Dutch and Flemish 15-year-old native pupils: explaining country differences in math scores between highly stratified educational systems

This paper aims to explain the high scores of 15-year-old native pupils in The Netherlands and Flanders by comparing them with the scores of pupils in countries with the same highly stratified educational system: Wallonia, the German Länder, the Swiss German cantons, and Austria. We use the data from the Programme for International Pupil Assessment (PISA) 2006 together with the specific PISA data of Germany and Switzerland. We apply a multilevel model that takes into account the individual-, curriculum-, and system-level features in these highly stratified educational systems. The high scores of the Dutch pupils can be explained by the size of The Netherlands' vocational sector. The high Flemish scores can be partly explained by the high curriculum mobility. Central exit exams are not a good explanation of the high Dutch scores. Despite being limited to highly stratified systems, we still find educational policies and arrangements to have significant effects on the educational performance of pupils.     

Closing the Gap: Modeling within-school variance heterogeneity in school effect studies

Effective schools should be superior in both enhancing students’ achievement levels and reducing the gap between high- and low-achieving students in the school. However, the focus has been placed mainly on schools’ achievement levels in most school effect studies. In this article, we focused our attention upon the school-specific achievement dispersion as well as achievement level in determining effective schools. The achievement dispersion in a particular school can be captured by within-school variance in achievement (σ²). Assuming heterogeneous within-school variance across schools in hierarchical modeling, it is possible to identify school factors related to high achievement levels and a small gap between high- and low-achieving students. By analyzing data from the TIMMS-R, we illustrated how to detect variance heterogeneity and how to find a systematic relationship between within-school variance and school practice. In terms of our results, we found that schools with a high achievement level tended to be more homogeneous in achievement dispersion, but even among schools with the same achievement level, schools varied in their achievement dispersion, depending on classroom practices.     

Sibship composition,birth order and education: Evidence from Vietnam

This paper examines the effects of sibship composition and birth order on the school enrolment and educational attainment of children, using data from the Vietnam Population and Housing Census 2009. Utilizing an instrumental variable estimation method to address the endogeneity of sibship size, we find that it has a significant, negative effect on child education. Examining the impact of sibling sex composition, we find that having an additional boy lowers children’s average educational attainment for both girls and boys. We establish that birth order has a significant, negative effect on child educational attainment, although that effect seems to vanish with the youngest sibling. Our findings have several policy implications. First, the negative effect of sibship size on education implies that Vietnam’s lower fertility rate, the result of family planning policy during the 1990s and 2000s, may contribute to its remarkable educational achievements. Second, we find that birth order and sibling sex composition are more important than sibship size in children’s educational outcomes. As parents disproportionately allocate more resources for boys and earlier born children, government-targeted programs should tackle those issues to provide equal school opportunities for all children.     

The role of schools in bridging within-school achievement gaps based on socioeconomic status: a cross-national comparative study

Since the publication of the Coleman report in 1966, research on the role of schools in influencing student achievement relative to the role of family background has generated considerable interest and controversy. A large volume of international and comparative research has also been devoted to studying school effects on student achievement. Relatively few studies have examined international differences in the importance of schools in bridging achievement gaps based on socioeconomic status (SES). Using PISA 2012 data, this study examines the role of schools in bridging within-school SES gaps in achievement and compares findings across 61 countries. Contrary to prior research, we find that schools may have limited ability in bridging SES gaps that exist within schools. We also find that across all countries included in the study, specific factors such as the school’s learning environment and school context are not systematically associated with within-school SES gaps.     

The Issue of Class Size for Young Children in Schools: what can we learn from research?

abstract

The debate over class sizes in schools has become more heated in recent years. Over the past decade or so, class sizes at primary level have increased, and without action to the contrary look like they will continue to rise. In the face of this, educational pressure groups and others have made increasingly strong recommendations about the need to reduce class sizes in primary schools. Government spokespeople drawing on accepted wisdom about research, say there is no proven link between school class size and pupils’ progress. Yet recent research evidence from the USA, and an accompanying debate over the findings and the use of public funds, have improved our understanding about the effects of class size. This paper examines the most recent documentary and research evidence in an attempt to answer three questions: how have class sizes changed over the past decade, what is known about the link between class size and educational attainment, and what, in terms of classroom processes, might explain the link. It is concluded that there is now firm evidence of a link, but only in the early years and only with classes smaller than 20. The evidence supports the reduction of class sizes in the first years at school, especially with disadvantaged pupils, but much still needs to be researched.     

Do the maths: An analysis of the gender gap in mathematics in Africa

This paper uses microdata for 19 African countries to examine the gender difference in maths test scores amongst primary school children. There is a significant difference in maths test scores in favour of boys, similar to that previously observed in developed countries. This difference cannot be explained by gender differences in school quality, home environment, or within-school gender discrimination in access to schooling inputs. However, the gender gap varies widely with characteristics of the regions in which the pupils live, and these regional characteristics are more predictive of the gender gap than parental education and school characteristics, including teacher gender. At the cross-country level, differences in fertility rates account for nearly half the variation in the gender gap, and this relationship is not due to the correlation between fertility and GDP.     

A preliminary study of multiple college admission criteria in Taiwan: the relationship among motivation,standardized tests,high school achievements,and college success

ABSTRACT

A new college admission policy will be implemented in Taiwan in 2022. The purpose of this study was to understand the relationship between admission criteria and college success. Data was obtained from the Taiwan Higher Education Database; a sample size of 8443 students from 156 universities was used in this study. By using the structural equation model, this study tested a research model that included factors such as motivation, standardized test scores, high school achievements, and college success. The findings revealed that the General Scholastic Ability Test scores (in Chinese, English, Social Studies) and high school average academic grades are significantly associated with college success. A student’s motivation to complete a certain major can significantly predict the quality of student effort and influence college success. These findings highlight the importance of some admission criteria and provide practical implications for educational policy-makers, school administrators, students, and parents.     

Antecedents affecting science achievement scores in classrooms in Trinidad and Tobago

This paper initially notes the role of scientific education in a developing country and the need to enhance scientific education among the school population. Enhancement of science education for all pupils is dependent on the distribution of schools, quality of schools and pupil participation in any country. To understand how science education is advanced in a developing country it is also important to know who is currently succeeding in science education in schools and to understand how this success is distributed amongst the school population. Thus, this paper questions whether school-based science achievement may be predetermined by antecedent factors or whether there is an equal opportunity of success amongst all pupil participants. A review of the literature has found that many antecedent factors affect school and science achievement, and these factors may be more important than within-school processes thought to enhance science education. The antecedent factors refer to: social/home background; age, religion and sex of the pupil; school class level and size; type of school attended and its locality.This study assesses how antecedent factors affect science performance in a representative sample of pupils in primary and secondary schools throughout Trinidad and Tobago. The representative sample totalled 1998 children, aged 6–10 years. Pupils were selected from a geographic transect of Trinidad and Tobago, which fulfilled demographic criteria. Once pupils were selected, biographic data were obtained for each child. Science achievement was measured by an end-of-term science examination designed for each class by the class teacher and graded on a 100% scale (within each class). Within class pupil scores were ‘standardized’ for comparisons between classes, schools, etc. Results from the analyses are summarized as: science achievement scores decrease as pupils increase in age. Girls perform consistently better than boys, with a slight variation in the sex by religion by school level interaction. Pupils in private schools score higher than pupils in similar levels of state schools. Pupils from a middle class background perform better than pupils from a working class background. Differences in performance relate to the religion of the child, with Muslim pupils scoring higher than Hindu or Christian pupils. Pupils in single-sex schools perform at higher levels than pupils in co-educational schools, and this is true for girls-only and boys-only schools. At the secondary school level the type of school attended is related to science achievement performance with pupils in prestige (usually church controlled) schools performing better than pupils in the comprehensive (state controlled) schools.The results support, develop and refine the previous literature on school and science achievement. Unusually, girls are at the forefront of science achievement in both primary and secondary schools. Also, traditional prejudices of social class, school status and location are confirmed within the school system in Trinidad and Tobago. A number of directions for future research and classroom action studies are indicated which focus on the existence of these inequalities.