基于引用与被引用文献信息的图书情报学跨学科性分析

【目的/意义】从引用与被引用两个角度全面分析学科的跨学科性。【方法/过程】以图书情报学18种核心期刊为例,从中国引文数据库检索下载该18种期刊1996年至2015年载文的参考文献与施引文献期刊题录信息,以题录信息中"刊名"字段与期刊-学科分类体系进行学科匹配,确定引文学科来源,从引用与被引用角度全面分析图书情报学的跨学科性。【结果/结论】结果表明,基于引用与被引用文献信息,可以从知识输入和知识输出两个角度反映图书情报学跨学科性特征。即:跨学科广度大、跨学科强度高、知识输入与输出表现为社会科学与自然科学并重和主要交流学科相对集中。

TeachingmA Way of Implementing Statistical Methods for Ordinal Data to Researchers

The use of questionnaires, rating scales and other kinds of ordered classifications is unlimited and interdisciplinary, so it can take long time before novel statistical methods presented in statistical journals reach researchers of applied sciences. Therefore. teaching is an effective way of introducing novel methods to researchers at an early stage. Assessments on scales produce ordinal data having rank-invariant properties only, which means that suitable statistical methods are non-parametric and often rank-based. These limited mathematical properties have been taken into account in the research regarding development of statistical methods for paired ordinal data. The aim is to present a statistical method for paired ordinal data that has been successfully implemented to researchers from various disciplines together with statisticians attending interactive problem solving courses of biostatistics.