合作信息查寻与检索相关性判据的探索性因子分析

Analysis on Exploratory Factor of Relevance Criteria in Collaborative Information Seeking & Retrieval

基于案例研究结果及早期研究成果设计合作信息查寻与检索相关性的判据量表,通过问卷调查获取高校及科研院所学生合作信息查寻与检索的相关性判据使用数据,利用临界值比较、内部一致性分析、均值比较、探索性因子分析等方法对这些数据进行量化分析,得出以下主要结论:合作相关性判据量表的项目共34项,分属于8个类别,分别为信息来源特征、信息内容有用性、信息索引特征、信息表现形式、信息质量、可获取性、信息结构特征与信息传播特征;8个类别可解释的方差变异约为60%,表明相关性判据不是相关判断的唯一标准或依据,还有其他因素影响用户的相关判断过程。

The relevance criteria scale about collaborative information seeking and retrieval is given based on the cases study and early research achievements. The data on relevance judgment about it are collected with the questionnaire, which are completed by students of university and institute. Some exploratory statistical techniques, such as eritieal value comparison, internal consistence comparison, means comparison, and factor analysis, are applied to carry out quantitative analysis. Composed of 34 items in the relevance criteria scale, eight conceptual catalogues of collaborative relevance criteria are identified, which are information source characteristics, information content useflllness, information index cha,＋acteristics, inlbrmation representation pattern, information quality, aecessibility, information strueture characteristics and information dissemination characteristics. But in terms of eight conceptual catalogues, probably 60% variation of variance can be interpreted, which means that the collaborative relevance criteria in the scale are not the sole basis to judge relevance and there are other factors to influence the collaborative relevance judgment.