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。     

第三条路径:教师专业成长的新视点

教师的专业成长 ,是内外因相互作用的结果。“第三条路径”凸现教师自主实践活动的重要性。在策略上 ,重视提升教师自主发展的内驱力 ,倡导教师个人生活实践的体验、感悟 ,强调教师自我反思的系统化、经常化 ,寻求与同行之间的交流、合作。     

田径运动技术模式的研究

田径运动技术是指田径运动中符合人体运动科学原理、能充分发挥人体潜在能力,能有效地完成动作的合理方法、技能和手段,田径运动技术系统包括外在技术、身体技术、心理技术、社会技术和场地技术等几个部分,每个部分又包含不同的构成元素,各元素之间不同形式的联系形成了不同的田径运动技术模式.     

关于富裕家庭少儿体质健康与生长发育状况的研究

首次报导了我国富裕家庭的少儿体质健康与生长发育的现状与差距。指出经济条件好的富家子女在生长发育指标上呈优良态势,其中身高,体重、胸围三项指标的均值,超过全国城市同龄组水平。但血红蛋白总体水平偏低,贫血比例较高,鸡胸、漏斗胸也有一定数量,以男孩为最。     

论体育教学模式研究的现状与未来发展

通过文献资料法、理论分析法对近10年来的体育教学模式研究总体情况进行了研究,肯定了体育教学模式研究中的成绩,指出了存在的问题,并分析了今后体育教学模式研究的发展趋势.