Data Visualization as Participatory Research: A Model for Digital Collections to Inspire User-Driven Research     

A. Miller 《Journal of Web Librarianship》2019,13(2):127-155

The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies.  相似文献   

Comparing cumulative index and factor analytic approaches to measuring maltreatment in the National Longitudinal Study of Adolescent to Adult Health     

《Child abuse & neglect》2019

Child maltreatment is a complex and multifaceted construct in need of advanced statistical techniques to improve its measurement. The current study compared the predictive utility of a cumulative index to a factor analytic approach for constructing a measure of maltreatment. Data were from Waves III and IV of the National Longitudinal Study of Adolescent to Adult Health (Wave III: n = 14,800; Wave IV: n = 12,288). As adults, participants retrospectively reported on their childhood experiences of physical abuse, sexual abuse, emotional abuse, physical neglect, supervisory neglect, and social services investigations. Both the cumulative index and a two-factor solution showed evidence of convergent validity, predicting lifetime incidence of homelessness, being paid for sex, and various measures of running away or living apart from biological parents, and prospectively predicting depression, substance use, and criminal behavior. The latent variables, derived from a factor analytic approach, had greater explanatory power for many outcomes compared to the cumulative index, even when controlling for sociodemographic variables. Results suggest that factor analysis is a better methodology than a cumulative index for measuring maltreatment in large datasets when explanatory power for external outcomes is of greatest concern.  相似文献   

我国马拉松跑者深度休闲特质的质性研究     

田海波  周文婷  邱亚君  齐震 《沈阳体育学院学报》2020,(1):54-60

在"马拉松热"的背景下,对跑步参与过程中马拉松跑者的深度休闲特质进行探究。采用滚雪球抽样方式,对20名马拉松跑者进行半结构式访谈,通过质性分析软件NVivo 11.0对访谈资料进行分析。研究结果表明马拉松跑者具有深度休闲的6个特质:坚持不懈、生涯性、显著的个人努力、强烈的认同感、独特的文化、持久的收益。本研究进一步丰富了已有研究成果,其中坚持不懈中的"毅力"和"自我管理"两方面体现了马拉松项目的特点。对马拉松跑者来讲,经济回报和团队发展并不是明显的持久收益。本研究结果拓展了对我国"马拉松热"现象的理解,未来应采用定量方法进行深入研究。  相似文献   

Digital Module 16: Longitudinal Data Analysis     

Jeffrey R. Harring  Tessa L. Johnson 《Educational Measurement》2020,39(3):137-138

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.  相似文献   

基于ICWGT和灰色关联分析法的起重机安全评价     

肖汉斌  熊楚宸  祝锋  刘敏 《上海海事大学学报》2020,41(2):117-122

针对目前起重机安全评价过于依赖主观权重且忽视起重机安全状态变化趋势的问题，建立基于改进博弈论组合赋权法（improved combination weighting method of game theory，ICWGT）和灰色关联分析法的起重机安全评价体系。在该评价体系中，收集样本数据以确定评价值，构建评价等级空间来计算起重机行为特征序列与标准行为特征序列的关联系数。运用ICWGT在层次分析法和信息熵 未确知测度理论确定的主、客观权重中寻找平衡。充分考虑专家经验和样本数据，确定优化权重以改善关联系数的分配问题，从而获取起重机灰色关联度评价值和安全等级，旨在对起重机安全状态变化趋势进行更加准确的定量描述和定性分析。实例分析验证了该评价体系的有效性。  相似文献   

多旋翼无人机微多普勒特性分析与特征提取     

马娇  董勇伟  李原  李凌霄  杨杰芳 《中国科学院大学学报》2019,36(2):235-243

针对多旋翼无人机目标的识别问题，提出一种基于伽柏（Gabor）变换的瞬时频率估计与快速傅里叶变换（FFT）相结合的微多普勒特征提取算法。首先建立多旋翼无人机旋翼回波模型，并通过仿真分析叶片数目、旋翼转速和初始相位等参数对微多普勒特征的影响，利用Gabor变换得到时频特征。在此基础上通过瞬时频率极大值法提取微多普勒频率，并对瞬时频率采用FFT提取旋翼数和转动频率，从而获得叶片长度估计值。实测数据验证了该算法较为准确地提取无人机的微多普勒参数。  相似文献   

Digital Module 07: Subscores: Evaluation and Reporting https://ncme.elevate.commpartners.com     

Sandip Sinharay 《Educational Measurement》2019,38(3):114-115

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长江大学社体专业大学生就业竞争力的现状分析     

孔祥魁  樊翠红 《当代体育科技》2020,(12):114-115

体育产业快速发展,就业岗位衍生新需求,知识型、技能型、创新型人才已经成为企业发展中的一支生力军。高校社会体育指导与管理专业的大学生在就业中核心竞争力不突出,社会对专业认可度依然不高,社体专业大学生的就业竞争力现状问题依然是体育学科领域关注的热点话题。本文从实践的角度,结合就业指导中遇到的问题,分析社体专业大学生就业竞争力的内涵、特征、存在的新问题等。  相似文献   

培养大学生终身健身的对策研究     

米龙 《当代体育科技》2020,(9):180-180,182

探讨大学生体质状况的健身意识和行为的影响因素,培养终身健身的体育意识,促进身心健康,营造良好的体育氛围。本文通过调查法文献资料调研,了解大学生健身意识与行为的现状,找出不足,针对问题进行分析与对策研究。调查结果表明,大学生的健康意识基础薄弱,大多数学生身体锻炼不够重视,特别是身体素质较差的学生,参与度不够高,不能积极参加体育锻炼,对这些情况,应加强对学生体育锻炼的监督,树立"终身体育"的指导思想,把对身体健康的认识和行为落实到实际的生活中去。  相似文献   

公共室外健身器材的安全性分析与研究     

于航海  扈静  刘高志 《当代体育科技》2020,(12):206-206,209

近年来,随着我国全民健身计划的推行,很多公共场所安装了各式各样的室外健身器材,丰富了人们的体育健身活动,增强了肌肉力量和身体的柔韧性,提高了人们的身体素质。然而,在室外健身器材的使用过程中,人们受伤的案例很多。其质量状况也引起了人们的担忧。本文分析了公共室外健身器材的质量现状,并提供了相关的解决对策。  相似文献