以案例促进《概率论与数理统计》教学

本文是有关案例教学法对《概率论与数理统计》教学提升作用的研究,列举了三个应用在教学中案例,讨论了案例与相应知识点结合的问题,为改善《概率论与数理统计》的教学效果作了一些教学创新。     

利用随机变量的相关性质证明恒等式

组合恒等式在组合数学中占有重要地位,本文运用概率方法对几个重要的组合恒等式给出了直观简洁的证明。     

Г函数在概率问题中的巧妙应用

通过实例分析总结了利用Г函数的定义和性质巧妙计算一些概率应用中的特定问题．     

近四年我国竞争情报的研究热点及现状分析

文章通过选取收录在中文期刊全文数据库近四年全部期刊作为切入点,以关键词为研究对象,采用词频统计和内容分析法,利用EXCEL为数据统计工具对竞争情报研究领域的主要研究方向进行关键词的变化状况研究和现状分析,从关键词的角度对竞争情报研究中的领域及其热点进行了探讨及分析。参考文献8。     

农村留守儿童健康水平及体育干预研究

农村留守儿童身心健康存在不少问题,基本没有形成良好的生活习惯和体育健身意识。通过体育干预,农村留守儿童的心理健康水平明显提高。建议政府继续改善山区学校的体育设施,解决体育师资短缺问题,加快农村体育公共服务体系的建设,为留守儿童创造良好的体育生活条件。     

Using Mixed-Methods to Examine Teachers' Attitudes to Educational Change: The case of the Skills for Life strategy for improving adult literacy and numeracy skills in England

This paper reports on a longitudinal study that examines how a national reform introduced in England in the field of adult literacy, language, and numeracy is affecting teachers. The paper focuses on the use of a mixed methodology to explore teachers' attitudes to the reform and how these change over time. The quantitative strand includes the construction and use of a Likert-type instrument for measuring the attitudes of a panel of 1,500 teachers. The qualitative strand builds on the quantitative results and includes focus groups and in-depth interviews with a subsample of teachers in the panel. As the study is still in its initial phase, the purpose is not to present findings, but to discuss how quantitative and qualitative evidence can be combined in evaluation research.     

基于CDIO理念的经管类商务统计课程教学改革——项目驱动学习

商务统计是经管类专业核心必修课之一,作为一门实践性和应用性很强的方法论课程,其效用在被广泛认可的同时,也给专业教学带来诸多挑战。结合CDIO工程教育理念,以项目驱动学习的方式对商务统计课程进行重新设计开发,强化实践教学,多维度立体式地对学生能力进行培养,进而将教学效果最大化。     

Validation of the child sex abuse attitude scale through confirmatory factor analysis

A validation study was conducted on the Child Sex Abuse Attitude Scale (CSAAS) using confirmatory factor analysis (CFA) to examine factor structure. The CSAAS was developed based on Festinger's (1957) theory of attitude development resulting in a 4‐factor first‐order structure (cognition, value, affect, and behavior) and a single‐factor 2nd‐order structure (attitude). A sample of 215 school psychologists, members of the National Association of School Psychologists, responded to the CSAAS survey. CFA results supported the hypothesized factor structure of the CSAAS, thus indicating the plausibility of a 4‐factor 1st‐order and a single‐factor higher order structure of the CSAAS.     

Evaluation of a New Mean Scaled and Moment Adjusted Test Statistic for SEM

Recently a new mean scaled and skewness adjusted test statistic was developed for evaluating structural equation models in small samples and with potentially nonnormal data, but this statistic has received only limited evaluation. The performance of this statistic is compared to normal theory maximum likelihood and 2 well-known robust test statistics. A modification to the Satorra–Bentler scaled statistic is developed for the condition that sample size is smaller than degrees of freedom. The behavior of the 4 test statistics is evaluated with a Monte Carlo confirmatory factor analysis study that varies 7 sample sizes and 3 distributional conditions obtained using Headrick's fifth-order transformation to nonnormality. The new statistic performs badly in most conditions except under the normal distribution. The goodness-of-fit χ² test based on maximum-likelihood estimation performed well under normal distributions as well as under a condition of asymptotic robustness. The Satorra–Bentler scaled test statistic performed best overall, whereas the mean scaled and variance adjusted test statistic outperformed the others at small and moderate sample sizes under certain distributional conditions.