Quantifying Qualitative Data
Quantifying Qualitative Data
复制标题
量化定性数据
DOI：
10.1300/j111v40n03_09
复制
发表时间：
2004
影响因子：
1.4
通讯作者：
Michael Ray
中科院分区：
文献类型：
--
作者：
Wendy Begay;Daniel R. Lee;Jim Martin;Michael Ray
摘要亚利桑那大学图书馆使用LibQUAL+™评论来告知其战略方向。2002年LibQUAL+（™）调查收到的303条评论使用“扎根理论”方法进行编码。使用定性统计软件QSR的N6，所有的意见进行了编码人口统计和图书馆访问，环境和服务的类别。N6协助对评论进行研究和分析，为将数据从数量和质量上发展为有用的信息提供了基础。这些评论用于确定组织和个人团队层面的战略方向，方法是将定性组织的评论与定量LibQUAL+（™）数据以及其他客户数据来源进行三角测量。这种方法提供了一种有重点的方法来组织和理解信息，以满足和解决图书馆客户的需求。
Abstract University of Arizona Library used the LibQUAL+™ comments to inform its strategic direction. The 303 comments received from the LibQUAL+(™) survey in 2002 were coded using a “Grounded Theory” approach. Using the qualitative statistical software QSR's N6, all comments were coded demographically and by categories around Library access, environment and service. N6 assisted the research and analysis of comments, providing a base for both quantifiable and qualitative development of data into useful information. The comments were used to determine strategic direction at the organizational and individual team level by triangulating the qualitatively organized comments with the quantitative LibQUAL+(™) data, as well as other sources of customer data. This approach provided a focused method to organize and understand information in order to meet and address Library customer needs.