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。     

图书馆馆藏文献资源评价：层次分析法应用的理论研究

在分析文献资源的特征的基础上,以大学图书馆为例,研究了层次分析法实际应用的客观环境、评价目标、评价模型的厘定以及评价方法。     

美国国家橄榄球联盟(NFL)的发展进程及启示

通过回顾美国国家橄榄球联盟的发展历程,梳理其发展脉络,总结和归纳出:与个人项目相比,集体性的橄榄球项目有着更为旺盛的人气和宽广的市场前景;业余体育是职业体育的人才基础和保障;崇尚自由和个人英雄主义是橄榄球项目在美国蓬勃发展的价值与文化基础;高质量的竞赛产品与灵活的销售策略是NFL发展的原动力及赛场表现与传播渠道的完美结合为NFL的发展提供了展示的空间和平台等发展启示,以此为我国职业体育的发展提供可借鉴的思路.     

溯足球技术发展进程

追溯足球技术发展进程,介绍了足球技术发展的完整变化,对发展进程作出阶段划分,对各阶段特征进行了基本梳理,并对其意义进行了评价,旨在总结足球技术发展的历史规律。     

论体育课程的教学价值与实现

通过文献资料法、逻辑分析法等方法对体育课程教学过程中的价值与实现问题进行了探讨，认为体育教育的价值主要通过体育课程的教学活动来实现，体育教学过程中价值主客体属性具有动态性、多元性特点，体育课程的教学活动应充分满足教师、学生、社会各方的价值需要，并使之统一在同一教学过程中，才能达到体育课程教学价值的最大化。     

速滑课超前准备教学程序在篮球课中的应用

为了在有限的时间内提高速滑课教学质量,使学生更快、更好地学会速度滑冰,提高学生身体素质,培养学生终身体育意识,在篮球课中运用超前观念,将速滑课超前准备教学程序改革实验研究结果的内容与方法应用在篮球课教学中进行教学,收到良好的教学效果。