易红梅、张林秀与合作者近期发表在IJED，CER和Ophthalmology等学术期刊上的SCI/SSCI文章

发布日期：2015/05/19　　来源： ccap

文章一：中等职业学校辍学率现状及影响因素分析

Yi, Hongmei, Linxiu Zhang, Yezhou Yao, Aiqin Wang, Yue Ma, Yaojiang Shi, James Chu, Prashant Loyalka and Scott Rozelle (2015). "Exploring the dropout rates and causes of dropout in upper-secondary technical and vocational education and training (TVET) schools in China." International Journal of Education Development (42): 115-123. [SSCI, 2013 Impact Factor = 0.841]

很多发展中国家的政策决策者将发展中等职业教育作为促进经济发展，减少贫困的重要手段。但是，有证据显示发展中国家中等职业教育面临着辍学率高的问题。本研究的主要目标是评估我国中职职业学校辍学率的现状并分析其原因。基于对我国两个省7414名中职学校学生的追踪调查，我们发现，两省中职学生年平均辍学率为10.7%，其中一个贫困内陆地区高达22%，地区差距很大。进一步的分析发现，学生入学时的文化课成绩、母亲的教育水平、母亲是否外出务工等特征与学生辍学显著相关。

Policymakers in many developing countries regard upper-secondary technical and vocational education and training (TVET) as a key element in economic growth and poverty reduction. Unfortunately, there is evidence that upper-secondary TVET programs in developing countries experience high rates of dropout. The overall goal of this study is to examine the dropout rates and reasons for dropout among upper- secondary TVET students in China. To meet this goal, we have three specific objectives. First, we seek to produce high-quality estimates of dropout rates among students in upper-secondary TVET schools in one coastal and one inland province of China. Second, we seek to identify which students drop out from upper-secondary TVET. Third, we test whether financial constraints, math and computer achievement, and parental education and migration status correlate with TVET dropout. Drawing on data from a survey of 7414 upper-secondary TVET students in two provinces of China, we find dropout rates of 10.7% across both provinces and as high as 22% in poorer inland areas, suggesting major gaps and disparities in Chinese TVET dropout rates. Furthermore, we find that baseline academic performance and maternal education and migration status are strong correlates for student dropout.

文章二：农村小学生视力不良：现状、相关因素及其后果

Yi, Hongmei, Linxiu Zhang, Xiaochen Ma, Nathan Congdon, Yaojiang Shi, Xiaopeng Pang, Junxia Zeng, Lei Wang, Matthew Boswell, Scott Rozelle. (2015). Poor vision among China’s Rural Primary School Students: Prevalence, Correlates, and Consequences. China Economic Review (33): 247-262. [SCI, 2013 Impact Factor = 1.142]

已有研究很少关注农村地区小学生的视力问题。本文利用对两省19977个学生的调查数据评估了农村小学生视力不良的现状，分析了造成视力不良的相关因素及视力不良可能导致的潜在后果。结果发现，24%的农村学生至少任一单眼裸眼视力不良，16%的农村学生双眼裸眼视力不良。视力不良与学生的个人特征、父母的特征、家庭特征、省份和年级都显著相关；但是除了省份和年级外，所有变量的系数都很小。我们的研究还发现，视力不良（尤其是严重的视力不良）可能对学生的学业成绩和心理健康造成负面影响。

Using a survey of 19,977 children in two provinces, this paper explores the prevalence, correlates and potential consequences of poor vision among children in China's vast but understudied rural areas. We find that 24% of sample students suffer from reduced uncorrected visual acuity in either eye and 16% in both eyes. Poor vision is significantly correlated with individual, parental and family characteristics, with modest magnitudes for all correlates but home province and grade level. The results also suggest a possible adverse impact of poor vision on academic performance and mental health, particularly among students with severe poor vision.

文章三： 我国中等收入省份与低收入省份近视发生率不同的决定因素分析

Zhou, Zhongqiang, Xiaochen Ma, Hongmei Yi, Xiaopeng Pang, Yaojiang Shi, Qianyun Chen, Mirjam E. Meltzer, Carlos Price-Sanchez, Mingguang He, Scott Rozelle, Ian Morgan, Nathan Congdon. (2015). Factors Underlying Different Myopia Prevalence between Middle- and Low-income Provinces in China. Ophthalmology 122(5): 1060-1062. [SCI, 2013 Impact Factor = 6.170]

目前我国关于近视率和戴镜率的研究主要集中在富裕省份和中等收入省份，对低收入省份缺乏研究。而国内外已有研究认为一国内社会经济发展水平不同的地区，近视发生率可能存在巨大差异，但对这一差异存在的原因缺乏理解。本研究的主要目的是评估我国两个不同经济发展水平的省份的近视发生率，分析其决定因素。

Currently available data on myopia and spectacle wear are drawn largely from China’s richer and middle-income areas, and little is known about refractive error and spectacle wear in the lowest income provinces. Studies from China and elsewhere suggest that large differences in myopia prevalence may exist between areas of different socioeconomic status within countries, but reasons for these differences are not well understood. The current report details the prevalence and predictors of myopia measured using the identical protocols and equipment in 2 adjoining provinces of western China, middle-income Shaanxi and low-income Gansu.

相关文章下载：
CER_2015.pdf
factors_underlying_different_myopia_prevalence_between_middle-_and_low-income_provinces_in_china_.pdf
IJED_DROPOUT_VET.pdf