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.     

体育多种预测方法的比较研究

摘要：运用相关回归、标准百分和多级多类判别理论，建立多元回归和单元回归预测模型，所建立的y1、y2、y3模型预测值准确度高，与实际专项成绩值的相关性显著、t检无差异、有显著的线性关系、tr检验呈高度相关。其中，y2模型预测值的准确度更高，建模方法更具简便性、实效性。     

Family factors and parenting in Ukraine

The present study aimed to estimate the use of positive and negative parenting practices in Ukraine and explore relationships between parenting practices, intimate partner violence (IPV), alcohol use, and sociodemographics. Parents of children (N = 320) ages 9–16 from three Ukrainian regions answered questions from the Alabama Parenting Questionnaire (APQ), the Revised Conflict Tactics Scales (CTS-R), Family Adaptability and Cohesion Evaluation Scale (FACES), and the Alcohol Use Section of the Drinking and Drug History and Current Use Patterns questionnaire. Ukrainian parents who reported lower use of alcohol, balanced family functioning and lower intimate partner violence were more likely to use positive parenting and less likely to use negative parenting practices. Parents with lower education were more likely to use negative parenting practices. Furthermore, alcohol use, IPV, parent education and higher family income were significantly and indirectly related with positive and negative parenting scores. The model explained 61% of variance in the positive parenting, 67% in the negative parenting.     

基于SEM的民俗体育进高校影响因素评价研究

通过构建影响因素量表,提供可供参考的影响因素体系,指导民俗体育的实践,推进民俗体育的现代化发展,形成探索民俗体育发展的共识、方法。建立SEM模型,并经过多次修正,判断影响因素的合理性、科学性,得出:民俗体育的"活动形式"是影响其现代化发展的首要因素;引导"管理者认知",推进"项目价值探索",赢取"学校支持";"源自于民间-发展于高校-回馈于社会"——课内外一体化的教学模式实现民俗体育"软着陆";回归身体价值本质探索民俗体育发展之路。     

Examining Intermediate Omitted Levels in Hierarchical Designs via Latent Variable Modeling

This article outlines an interval estimation procedure that can be used in a 3-level setting to evaluate the proportion of outcome variance attributable to the second level of clustering. The method is useful for examining the necessity of including a possibly omitted intermediate level of nesting in analyses of data from a multilevel study, and represents an informative addendum to current statistical tests of second-level variance. The approach is developed within the framework of latent variable modeling and can be used as an aid in the process of choosing between 2-level and 3-level models in a hierarchical design. The discussed procedure is illustrated with an empirical example.     

The effects of college students’ positive thinking,learning motivation and self-regulation through a self-reflection intervention in Taiwan

This quasi-experimental study examined the effects of a self-reflection intervention on college (college in this article refers to university-level education) students’ positive thinking, learning motivation and self-regulation in Taiwan. One hundred and two college students were selected to participate in an 18-week intervention forming the experimental group (EG) which emphasized providing main lecture, role-play, self-reflection activity, group discussion and group work. Another 179 college students from two other courses were selected as a comparison group. This study showed that supportive, resourced discussion with peers and instructor, self-reflection activities and assignment as a facilitative agent improved the EG students’ positive thinking, learning motivation and self-regulation. In addition, three structural equation models revealed that positive thinking had a strong and direct relation to Taiwanese college students’ pretest learning motivation (β?=?.85) and self-regulation (β?=?.77); learning motivation had a strong and direct relation to students’ pretest positive thinking (β?=?.86) and self-regulation (β?=?.81); and self-regulation had a strong and direct relation to students’ pretest positive thinking (β?=?.83) and learning motivation (β?=?.86). Instructional implications and research recommendations are discussed.     

The Misspecification of the Covariance Structures in Multilevel Models for Single-Case Data: A Monte Carlo Simulation Study

The impact of misspecifying covariance matrices at the second and third levels of the three-level model is evaluated. Results indicate that ignoring existing covariance has no effect on the treatment effect estimate. In addition, the between-case variance estimates are unbiased when covariance is either modeled or ignored. If the research interest lies in the between-study variance estimate, including at least 30 studies is warranted. Modeling covariance does not result in less biased between-study variance estimates as the between-study covariance estimate is biased. When the research interest lies in the between-case covariance, the model including covariance results in unbiased between-case variance estimates. The three-level model appears to be less appropriate for estimating between-study variance if fewer than 30 studies are included.     

IF钢热镀锌板典型缺陷的扫描电镜分析

采用Quanta 400扫描电镜配合能谱仪对影响IF钢热镀锌板的夹杂、氧化铁皮、划伤、锌渣等典型缺陷进行了分析,结果表明,扫描电镜配合能谱仪分析可以有效的判断缺陷类型,结合生产工艺从而查找出缺陷产生的原因。     

基于结构方程模型的孵化器综合绩效评价

在已有研究的基础上,基于数据获取的便利性,构建一套科技企业孵化器综合绩效的评价指标体系.探索了硬件环境、软件环境、服务能力、发展潜力和绩效产出5个指标之间的关系,根据我国部分国家级企业孵化器的统计数据,利用AMOS软件建立结构方程模型并对模型进行计算和求解.根据得到的因子载荷和路径系数确定各个评价指标的权重.