Effects of physical attractiveness,personality, and grooming on academic performance in high school

Using data from the National Longitudinal Study of Adolescent Health (Add Health), we investigate whether certain aspects of personal appearance (i.e., physical attractiveness, personality, and grooming) affect a student's cumulative grade point average (GPA) in high school. When physical attractiveness is entered into the model as the only measure of personal appearance (as has been done in previous studies), it has a positive and statistically significant impact on GPA for female students and a positive yet not statistically significant effect for male students. Including personality and grooming, the effect of physical attractiveness turns negative for both groups, but is only statistically significant for males. For male and female students, being very well groomed is associated with a statistically significant GPA premium. While grooming has the largest effect on GPA for male students, having a very attractive personality is most important for female students. Numerous sensitivity analyses support the core results for grooming and personality. Possible explanations for these findings include teacher discrimination, differences in student objectives, and rational resource allocation decisions.     

Mandatory summer school and student achievement

Using administrative data from a large school district, I exploit the fact that students are mandated to attend summer school based on a discontinuous function of their score on year-end exams to identify the effect of summer school attendance on achievement. I find an average effect of about .12 standard deviations for both math and reading achievement, an effect size on the low end of the range of prior estimates. These averages mask considerable heterogeneity, however, with effect size estimates ranging from just below zero to one-quarter of a standard deviation. The estimates on the upper end of the range presented here suggest that summer school may be a more cost-effective way of raising student achievement scores than class-size reductions.     

A nonparametric approach to assess undergraduate performance

Nonparametric methodologies are proposed to assess college students' performance. Emphasis is given to gender and sector of high school. The application concerns the University of Campinas, a research university in Southeast Brazil. In Brazil college studies are based on a somewhat rigid set of subjects for each major. For this reason a simple GPA comparison may hide true performance. Therefore, we define individual vectors of course grades. These vectors are used in pairwise comparisons of common subject grades for individuals who entered college in the same year. The relative college performances of any two students are compared with their relative performances on the entrance exam score. A procedure based on generalized U-statistics is developed to test if there is selection bias in the entrance exam by some predefined groups, which is equipped with asymptotically normal distribution under both null and alternative hypotheses. Maximum power is attained by employing the union intersection principle, and resampling techniques such as nonparametric bootstrap are employed to generate the empirical distribution of the test statistics and get p-values.     

Does school ownership matter? An unbiased efficiency comparison for regions of Spain

The programme for international student assessment (PISA) 2006 Report (OECD, PISA 2006: science competencies for tomorrow’s world, Organisation for Economic Co-operation and Development, Paris in 2007) showed significant differences among Spanish students attending publicly financed schools. Publicly financed schools include entirely public schools and schools that are privately managed but publicly funded. Families with a lower socioeconomic status may self-select into public schools, so a direct efficiency comparison between the two school types could lead to flawed conclusions because of the possible school selection bias. In this paper, we suggest using a propensity score matching approach in order to correctly analyze the impact of school ownership on student performance. After tackling the self-selection problem, we use a stochastic parametric distance function framework to compare student efficiency and productivity in both school types across ten Spanish regions using PISA 2006 data. Furthermore, we propose two original measures to analyze the impact of school ownership on academic performance across regions: the average treatment effect on the treated on the production frontier and the average treatment effect on the treated assuming school inefficiency. We find that, on average, private government-dependent schools are more productive than public schools, although efficiency results across regions are highly divergent.     

Correlates of student performance in Business and Economics Statistics

Over the years many studies have been done to investigate the determinants of student performance in courses of particular fields of study. However, this is not true of Introduction to Business and Economics Statistics. Our objective is to identify the correlates of student performance both overall, and on individual exams, in an Introduction to Business and Economics Statistics course. A wide variety of variables are found to significantly influence the performance of students, including their grades on previous exams and examination design. Our results indicate that it is important to isolate performance on individual exams.     

Does joining social media groups help to reduce students’ dropout within the first university year?

Using observational data, the aim of our study paper was to investigate whether university students’ dropout within the first year is influenced by participation in social media groups such as Facebook pages created and run by other students. Specifically, in this paper such participation is considered as a treatment and represents a means to help promote and strengthen social relationships amongst students but also to help share information on courses and other material useful for studying and preparing for exams. For this purpose, data from a sample survey of students enrolled in a major Italian university were used. Given a non-random treatment assignment, analysis was carried out using propensity score matching (PSM) in order to correct for selection bias due to a set of observable pretreatment covariates. Several matching techniques and sensitivity analyses suggested that the results were robust for estimating an average treatment effect on the treated group. The estimated effect indicated that participation in social media groups is effective for lowering the dropout rate.     

新升本科院校数学专业学生的考研心理分析及对策探讨

学生的考研心理对考研率有着重大的影响,对于新升本科院校数学专业学生而言,应该注重学生的考研心理,根据研究学生的考研心理状况,从而进一步提升考研率。     

聚焦人才培养质量主旋律——滨江学院高技能、高素质、高水平人才培养模式的探索与实践

南京信息工程大学滨江学院自2002年建院以来,秉承"以学生全面发展为本"的教育理念,以"技能、考研、出国"为导向,遵循"科学管理、特色办学、内涵建设"的思路,逐步确立了具有滨江特色的"高技能、高素质、高水平"的人才培养模式。     

The impact of Chicago’s small high school initiative

This project examines the effects of the introduction of new small high schools on student performance in the Chicago Public School (CPS) district. Specifically, we investigate whether students attending small high schools have better graduation/enrollment rates and achievement than similar students who attend regular CPS high schools. We show that students who choose to attend a small school are more disadvantaged on average, including having prior test scores that are about 0.2 standard deviations lower than their elementary school classmates. To address the selection problem, we use an instrumental variables strategy and compare students who live in the same neighborhoods but differ in their residential proximity to a small school. In this approach, one student is more likely to sign up for a small school than another statistically identical student because the small school is located closer to the student’s house and therefore the “cost” of attending the school is lower. The distance-to-small-school variable has strong predictive power to identify who attends a small school. We find that small schools students are substantially more likely to persist in school and eventually graduate. Nonetheless, there is no positive impact on student achievement as measured by test scores.     

对大学生心理健康问题的几点思考

由于各年级大学生心理发展阶段不同和心理素质的差异,其多发心理健康问题也就引起了广泛关注。本文针对从不同年级大学生心理健康问题着手,着重分析了社会、学校和大学生自身心理素质三个原因,提出了应对措施和建议。     

Barriers to skill acquisition in Brazil: Public and private school students performance in a public university entrance exam

This paper uses a novel data set to quantify the difference in performance of public and private school students in an entrance test exam of the major public university in Brazilian Northeast (Universidade Federal de Pernambuco – UFPE). Although there are many public universities in Brazil, from our knowledge, there is no study that uses data on entrance test scores at such universities to evaluate the determinants of students’ performance and the barriers for public school students to get in the good universities. The data set has detailed information on individual and school characteristics, and family background. We found that test scores of public school students are on average about 4.2–17% lower than those taken by private school students, depending on the set of controls. This result is robust when we address problems related to attrition, omitted variables (e.g., cognitive ability), and unobservable selectivity. We also show that once students get into the university, those from public schools perform as well as those from private schools. In addition, the proportion of public school students that gets into the university is roughly the same as the proportion of students doing the entrance exam. However, there is a strong barrier for public school students to get into high competitive majors. The fraction of students from public schools that gets into high competitive majors such as law, medicine, and electronic engineering is almost null. Our findings provide quantitative evidence to the common view that the Brazilian elitist high education system is an important channel for inequality persistence.     

A finite‐sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond

Using data from both the National Longitudinal Survey of Youth (NLSY) and High School and Beyond (HSB), we investigate if public high schools differ in the “production” of earnings and if rates of return to future education vary with public high school attended. Given evidence of such variation, we seek to explain why schools differ by proposing that standard measures of school “quality” as well as proxies for community characteristics can explain the observed parameter variation across high schools. Since analysis of widely‐used data sets such as the NLSY and HSB necessarily involves observing only a few students per high school, we employ an exact finite sample estimation approach. We find evidence that schools differ and that most proxies for high school quality play modest roles in explaining the variation in outcomes across public high schools. We do find evidence that the education of the teachers in the high school as well as the average family income associated with students in the school play a small part in explaining variation at the school‐level. Copyright © 2002 John Wiley & Sons, Ltd.     

Why Do Some Schools Group by Ability?

A bstract .   This article explores the reasons that schools choose to group their students by ability. A mathematical model suggests that high diversity of achievement and a large number of students in a school will cause a school to be more likely to group. Less legitimately, some schools may choose to use ability grouping to segregate students by race or class within a school.
The data used in this study come from the 1992 NAEP 8^th grade Mathematics Assessment. Cross-tabulations suggest that ability grouping is correlated with diversity of student achievement, the number of students, racial diversity, and low levels of poverty. The mean achievement of students and school spending levels do not have much correlation with the schools' tracking decisions. Logit regressions indicate that the number of students in a school and its racial diversity are most important, and that other factors (most notably the diversity of achievement) are not. These results lend credence to those who suggest that grouping is not necessarily done for academic reasons, but rather is a subtle way to segregate by race or class.     

Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models

In this paper we describe methods for predicting distributions of outcome gains in the framework of a latent variable selection model. We describe such procedures for Student‐t selection models and a finite mixture of Gaussian selection models. Importantly, our algorithms for fitting these models are simple to implement in practice, and also permit learning to take place about the non‐identified cross‐regime correlation parameter. Using data from High School and Beyond, we apply our methods to determine the impact of dropping out of high school on a math test score taken at the senior year of high school. Our results show that selection bias is an important feature of this data, that our beliefs about this non‐identified correlation are updated from the data, and that generalized models of selectivity offer an improvement over the ‘textbook’ Gaussian model. Further, our results indicate that on average dropping out of high school has a large negative impact on senior‐year test scores. However, for those individuals who actually drop out of high school, the act of dropping out of high school does not have a significantly negative impact on test scores. This suggests that policies aimed at keeping students in school may not be as beneficial as first thought, since those individuals who must be induced to stay in school are not the ones who benefit significantly (in terms of test scores) from staying in school. Copyright © 2004 John Wiley & Sons, Ltd.     

大学新生班辅导员管理工作刍议

大学新生班级在培养目标、思想观念、学习内容、管理方式、角色扮演等方面与中学阶段迥异,与大学其他年级相比,也有着自己的特色。辅导员作为大学生的主要管理者,应该根据这些特征对新生进行教育和指导,为学生创设各种平台,促进学生形成正确的道德观念、完善的知识结构、较强的学习科研以及解决实际问题的能力。     

GPA参加方运用政府采购扶持中小企业的经验和启示

我国加入GPA已经进入关键阶段，但是对有关GPA与中小企业的研究仍有待深入。文章基于GPA参加方有关例外的使用情况和实际应用情况，梳理和总结了GPA参加方的经验；从我国实际需要出发，对我国中小企业加入GPA有关条款和相关问题进行了研究。文章对中小企业有关GPA问题的整理将有助于我国加入GPA时对有关中小企业的问题进行调整。     

An investigation of high school students’ social capital development within organizational climate

The aim of this study is to investigate the connection between school climate and students’ social capital development. 304 final year high school students participated. The result of the research indicated a statistically significant positive relation between school climate and social capital development. The research aimed to measure for the first time, high school students’ social capital development and the evaluation of social capital i terms of school dimensions and it is hoped that it will contribute to local and foreign resource and be an example to similar studies.     

Quantile regression methods for recursive structural equation models

Two classes of quantile regression estimation methods for the recursive structural equation models of Chesher [2003. Identification in nonseparable models. Econometrica 71, 1405–1441.] are investigated. A class of weighted average derivative estimators based directly on the identification strategy of Chesher is contrasted with a new control variate estimation method. The latter imposes stronger restrictions achieving an asymptotic efficiency bound with respect to the former class. An application of the methods to the study of the effect of class size on the performance of Dutch primary school students shows that (i) reductions in class size are beneficial for good students in language and for weaker students in mathematics, (ii) larger classes appear beneficial for weaker language students, and (iii) the impact of class size on both mean and median performance is negligible.     

Graduates,Dropouts and Slow Finishers: The Effects of Credit Constraints on University Outcomes

The effect of credit constraints on university outcomes is studied. Credit constraints have a negative relationship with dropout, especially on lower achieving high school graduates. Credit constrained students with strong high school achievement are 13–15% more (less) likely to graduate (be slow finishers) relative to otherwise similar students who are potentially or unlikely constrained. Using competing risk analysis, we find dropout is most likely in the first year of study and falls over time for all students. After 3 years of study, the risk of dropout increases for students who are constrained suggesting constraints may eventually bind on these students.