基于EXCEL平台的成绩录入及统计分析

EXCEL电子表格软件以其强大的数据处理功能,对教学、科研、管理等数据统计有着重要的作用．作者通过对EXCEL函数的研究,以及多年的工作经验,研究出了行之有效的、非常实用的成绩的录入及统计的方法,以提高工作效率．     

形成性网络考试与大学英语自我调节学习——不同成绩报道形式对自我调节学习的影响

项目研究基于网络考试中的形成性评价与反馈机制,设计出一种新型大学英语网考成绩报道单,既告知考生总分,又提供各题型的分数和百分位,以及相应的自我调节策略反馈。新的成绩报道形式以结构方程模型分析得出的认知调节策略使用与各题型成绩间的关系为基础,辅之以定性访谈分析为补充。结果表明,新型网考成绩报道形式较之传统的总分报道形式能更有效地促进学生的英语自我调节学习。     

Latent Curve Models and Latent Change Score Models Estimated in R

When using multiple imputation in the analysis of incomplete data, a prominent guideline suggests that more than 10 imputed data values are seldom needed. This article calls into question the optimism of this guideline and illustrates that important quantities (e.g., p values, confidence interval half-widths, and estimated fractions of missing information) suffer from substantial imprecision with a small number of imputations. Substantively, a researcher can draw categorically different conclusions about null hypothesis rejection, estimation precision, and missing information in distinct multiple imputation runs for the same data and analysis with few imputations. This article explores the factors associated with this imprecision, demonstrates that precision improves by increasing the number of imputations, and provides practical guidelines for choosing a reasonable number of imputations to reduce imprecision for each of these quantities.     

‘Youth in a void’: sexuality,HIV/AIDS and communication in Kenyan public schools

The disappearance of traditional sex education during rites of passage in African societies has left many youth uncertain of where to look for information. Against this backcloth, the objectives of this study were to identify knowledge gaps amongst adolescents in Kenya regarding sexuality, HIV/AIDS and reproductive health. A thematic analysis was conducted of questions posed by 735 school youth aged 12–18 years from Meru and Kajiado Districts. Results show that many questions showed curiosity and anxiousness. Knowledge appeared to be fragmented and sometimes revealed misconceptions, which may put youth at risk. The raised themes differed by gender and age. Questions on saying no to sex, sexual violence and female circumcision were a great concern for girls. Boys were more concerned with managing boy–girl relationships, preventing STI/HIV infection, and condoms. Concern about transition to adulthood, sexuality, STI and HIV/AIDS, myths and misconceptions, and intergenerational communication cut across both genders. Older teens were more concerned with questions on boy–girl relationships, norms and values regarding sexuality, and STI. Younger teens ( < 15 years) wanted to know about reproduction, saying no to sex, HIV/AIDS, condoms, sexual violence and female circumcision. Compounding these challenges was the lack of intergenerational communication. The study identified important knowledge and communication gaps in sexual and reproductive health among in-school adolescents in Kenya. There is a need for sex education interventions for different age groups and genders. These interventions should work with parents, teachers and health professionals.     

Covariate Balance in Bayesian Propensity Score Approaches for Observational Studies

Abstract

Bayesian alternatives to frequentist propensity score approaches have recently been proposed. However, few studies have investigated their covariate balancing properties. This article compares a recently developed two-step Bayesian propensity score approach to the frequentist approach with respect to covariate balance. The effects of different priors on covariate balance are evaluated and the differences between frequentist and Bayesian covariate balance are discussed. Results of the case study reveal that both the Bayesian and frequentist propensity score approaches achieve good covariate balance. The frequentist propensity score approach performs slightly better on covariate balance for stratification and weighting methods, whereas the two-step Bayesian approach offers slightly better covariate balance in the optimal full matching method. Results of a comprehensive simulation study reveal that accuracy and precision of prior information on propensity score model parameters do not greatly influence balance performance. Results of the simulation study also show that overall, the optimal full matching method provides the best covariate balance and treatment effect estimates compared to the stratification and weighting methods. A unique feature of covariate balance within Bayesian propensity score analysis is that we can obtain a distribution of balance indices in addition to the point estimates so that the variation in balance indices can be naturally captured to assist in covariate balance checking.     

借助SPSS软件的成绩因子分析

文中利用SPSS软件对学生的成绩进行因子分析,提取了七个因子,计算各自得分和综合得分及其排名,用这种方法计算学生成绩能够更加全面、合理地评价学生.     

基于关系数据库关键词查询的评分函数研究

为了解决目前关系数据库关键词查询效果不理想的问题,通过优化传统信息搜索领域的评分函数中的关键因子,提出了一种新的评分函数。通过实际数据分析验证该新的评分函数合理、有效。     

自主学习对专业英语四级考试的影响研究

文章基于外语教学领域中的学习者自主理论,采用问卷调查的方法考察了非英语专业学生的自主学习状况对专业英语四级考试成绩的影响。研究表明,即使对于成绩十分接近及格线的考生而言,自主学习状况亦从多方面直接影响考试成绩,考试成败与否仍然取决于学生的自主学习状况等可控因素。文章最后为教师提出了培养学生自主学习能力的几点建议,期望对提高学生自主学习能力及英语学习均有所裨益。     

第六届女足世界杯赛决赛阶段进球特征分析

运用文献资料法、观察统计法、比较分析法等对第六届德国女足世界杯足球赛中的32场比赛、86个进球作为研究对象,分析女足世界杯进球特征。认为：世界女足的整体实力有了明显的提高,差距并不悬殊,各队门前把握机会的能力也有了显著的提高;大部分射门区域选择了守门员及防守队员反应和出击最难判断的B区;进攻方式采用中路与边路相结合的多样化进攻方式,并充分利用定位球战术;多采用稳固防守和快速反击的战术打法,进攻更加灵活、锐利;进球阶段主要集中于上、下半场开始和结束前的15min。