Sampling Methods and Sample Populations in Quantitative Mass Communication Research Studies: A 15-Year Census of Six Journals

This study evaluated the sampling methods and sample populations used in all U.S.-based survey and experimental mass communication studies published between 2000 and 2014 in six major journals (N = 1,173). Most studies used nonprobability samples, and more than half used student samples. Experiments used more nonprobability and student samples than surveys. Funded studies used more probability and nonstudent samples than nonfunded studies. Implications of results pertaining to population validity and interpretations of findings for mass communication research are discussed.     

Assessing library topics using sentiment analysis in R: a discussion and code sample

Abstract

This article discusses the use of R programing language for executing a sentiment analysis of tweets pertaining to library topics. This discussion is situated within the literature of marketing and management sciences, which is employing methods of machine learning and business intelligence to make informed decision-making, and library administration, which has expressed great interest in social media engagement within its literature but has yet to adopt these types of analysis. Presented in this article is a sample code with instructions on how users may execute it within R to retrieve and analyze tweets relevant to library services. Two examples created using the code (analysis of top librarians’ tweets and analysis of posts about major book publishers) are used to demonstrate the functionality of the code. The code presented in this article may be used by libraries to analyze tweets about their library and library-related topics, which, in turn, may inform management and marketing design.     

为什么外国女孩儿需要中国男朋友

我想要告诉你们所有人,特别是外国女孩子们,为什么外国女孩儿需要找一个中国男朋友。首先,我想介绍一下我自己。我叫Tara。我是芬兰人,也是美国人,两个国籍。我从小在美国长大,高中毕业以后我搬去芬兰上大学。实话实说,我以前并不太熟悉中国。我知道中国非常大,人也非常多。我觉得所有的东亚人长得都     

Stepping out: collaborative research across disciplines

This paper offers the experiences and insights of two faculty members, located in two separate disciplines, as they engaged in collaborative research. While knowledge created by stepping out and reaching across disciplines reflects the reality of an increasingly complex world, their experiences highlight both the benefits of a supportive collaborative partnership as well as the risks and discomfort experienced without tangible discipline support, when researchers stray too far from their home discipline. While transparency and attention to process is critical to all researchers engaged in collaborative partnership, its necessity is heightened when venturing beyond the territory of familiar disciplines.     

A comparison of regular program and vocational program junior high school students on affective dimensions

The hypothesis that young adolescents in vocational education programs would differ from young adolescents in a regular program along several affective dimensions was examined. The Today Form of the Multiple Affect Adjective Check List (MAACL) was administered twice during the school year to 111 students in a vocational program and to 50 students in regular classrooms. Dimensions of Anxiety, Depression, and Hostility were examined. Significant main effects for all three dimensions were noted for school program (regular vs. CVAE) and for grade (seventh vs. eighth). Students in the vocational program and those in seventh grade scored higher on Anxiety, Depression, and Hostility. These differences persisted across time, with the exception of Depression, for which there was a significant interaction between time (pretest vs. posttest) and school program (regular vs. CVAE), with regular students reporting increased depression at the second testing.     

创新大数据、创新治理效能和数字化转型

愈加庞杂的国家创新体系的有效治理迫切需要借助现代科学的方法和手段来支撑，国家创新治理的数字化转型是实现国家创新治理能力现代化、推动创新型国家建设的有效选择。本文从创新治理数字化转型的实践背景与研究背景出发，从多元主体参与、科学性与透明性、精准性、效率、应对与风险防控能力5个维度深入剖析了大数据如何影响国家创新治理，同时从科技发展监测、预见和战略制定、项目与计划管理、活动行为刻画、政策演化和效果跟踪5个方面描述了大数据在国家创新治理体系中的应用情景。最后，就充分发挥利用大数据在创新治理中的作用、实现创新治理的数字化转型提出了相应建议：转变政府创新治理的理念和治理模式、建立多层次创新监测数据整合平台、打通部门间的多层级创新信息孤岛、推行和实施科技创新信息的公开化、建立完善的创新数据管理法规体系、加快推进新型数字基础设施建设。本文为进一步认识大数据在创新引领发展与国家治理体系现代化中的重要支撑作用提供依据。     

Young weightlifters' performance across time

Prestigious professional organisations have questioned the efficacy of resistive training by children or have often neglected to address weightlifting in their position papers on resistive training for children. The purpose of this paper was to address the deficit in data regarding the efficacy of training children for weightlifting and to report data regarding to safety in this population. Eleven subjects (3 female, 8 male) who had trained at the USA Weightlifting Development Centre in Shreveport Louisiana for a minimum of 22 months (mean = 28.8; SD +/- 4.4) served as subjects for this study. Means for the pool of subjects subjected to t-test to compare data obtained at each subject's initial competition with that obtained at the individual's most recent competition revealed significant positive changes in body weight, snatch weight, clean and jerk weight, and total weight lifted. The latter three were significant both in absolute weight and in weight lifted per kg of body weight. Total weight lifted at competitions plotted separately for boys and for girls across time indicated an apparently steeper slope of improvement for boys. The latter were not tested for significance because of the small sample sizes. The lack of injury in training and in 534 competitive lifts was discussed. None required medical attention or loss of training time. It was concluded that there can be no doubt regarding the efficacy of weightlifting as carried out at the USA Weightlifting Development Centre. The importance of proper application of scientific theory of conditioning in a conservative manner for this population was emphasised.