Digital Module 16: Longitudinal Data Analysis

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.     

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.     

物理模型与股票投资

股票投资的方法很多，建立物理模型进行投资是一种简明有效的方法，使用金字塔模型和平衡理论对股票进行操作，能把握最佳投资机会。     

<体育与健康课程标准>实施进程研究

经过反复的调查和对文献资料的分析，初步提出：体育与健康课程模式的多元化，是新“课标”由目标理念向操作化进程的有效途径。课程模式多元化，要以单元为基础，构建模块组合；以新“课标”为母体，构建子项模式；以新“课标”为依据，完善结构体系；以模式为中介，超越课程模式。     

我国中小学体育教师继续教育的优化与整合

采用文献法、问卷调查法、专家谈访法、比较分析法、层次分析法,在总结我国中小学体育教师继续教育主要特征的基础上,就中小学体育教师继续教育的优化与整合,对全国7省市582名中小学体育教师进行了调查研究.结果表明:构建中小学体育教师教育一体化的机构和师资队伍是提高中小学体育教师继续教育质量的组织保证;根据中小学体育教师成长的阶段性特征和价值取向,优化继续教育的组织模式、教学模式、教育内容是提高继续教育质量的关键.     

"长三角"地区体育产业一体化发展研究

在考虑“长三角”地区体育产业一体化发展问题时 ,人们将面临由“长三角”区域内差别引致的观念分野和由行政区划造就的政府区内自利性这两个不可回避的问题 ,但只要能以竞争与合作作为该区域一体化发展的核心主线 ,以市场机制为主要手段调节资源配置的效率 ,以政府间在融通基础上的宏观制度调控并寻求各方利益和区域利益最大化为目标 ,建立多种层面的协调机制 ,推进多种形式的合作 ,“长三角”体育产业一体化发展将在动态变动的过程中予以实现。     

体育教学资源开发研究

高校体育教学在大规模扩招以及学生主体需求日益提高的今天。面临着体育教学资源的匮乏，通过对体育教学的内容资源、师资资源、设备资源、新闻媒体和网络信息资源的分析，提出了解决问题的观点和办法。     

论经济全球化背景下我国价值观念的变革

我国的传统价值观念在经济全球化的浪潮中,将发生一系列深刻的变革:第一,由封闭的价值取向向开放的价值取向转变;第二,由重形式的价值标准向重实效的价值标准转变;第三,由激进的价值目标向现实的价值目标转变;第四,价值实践转变为主观改造和客观改造相结合的价值实践;第五,由“人治”价值观念向“法治”价值观念转变;第六,人生理想由“君子型”向“能力型”转变。     

论21世纪高校学报的集成管理

为提高高校学报的整体质量，根据系统科学思想以及综合集成方法理论，提出高校学报集成管理的设想，并对高校学报集成化管理的特征和优越性进行了论述。