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Abstract

The development of a facet analysis system to code and analyze data in a mixed-method study is discussed. The research goal was to identify the dimensions of interaction that contribute to student satisfaction in online Web-supported courses. The study was conducted between 2000 and 2002 at the Florida State University School of Information Studies. The researchers developed a facet analysis system that meets S. R. Ranganathan's ([1967]) requirements for articulation on three planes (idea, verbal, and notational). This system includes a codebook (verbal), coding procedures, and formulae (notational) for quantitative analysis of logs of chat sessions and postings to discussion boards for eight master's level courses taught online during the fall 2000 semester. Focus group interviews were subsequently held with student participants to confirm that results of the facet analysis reflected their experiences with the courses. The system was developed through a process of emergent coding. The researchers have been unable to identify any prior use of facet analysis for the analysis of research data as in this study. Identifying the facet analysis system was a major breakthrough in the research process, which, in turn, provided the researchers with a lens through which to analyze and interpret the data. In addition, identification of the faceted nature of the system opens up new possibilities for automation of the coding process.

Date

2.11.2007 10:22:40

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Abstract

This paper describes the work of the MARC Content Designation Utilization (MCDU) Project, funded by a National Leadership Grant from the U.S. Federal Institute of Museum and Library Services (IMLS). The MCDU Project is analyzing approximately 56 million MARC 21 Format for Bibliographic Data records from OCLC's WorldCat database to identify actual use of the content designation available in the MARC bibliographic record. We consider bibliographic records as artifacts resulting from the overall cataloging enterprise, of which the encoding of the bibliographic data into MARC is only one part. Concepts from the Functional Requirements for Bibliographic Records (FRBR) can be used to examine and critically assess the availability of bibliographic data in these records, data meant to assist end users in finding, identifying, selecting, and obtaining relevant information resources. Overall, the MCDU Project will provide empirical data reflecting the actual use of MARC content designation structures in this set of records. Specifically, the data can be used to demonstrate how catalogers' coding of bibliographic data may or may not assist end users in these four tasks. The project is using the mapping by Delsey of MARC data elements to FRBR user tasks in this analysis. These data are crucial for making decisions about the future of MARC and may inform current work on bibliographic rules reflected in the development of the next version of cataloging rules (i.e., Resource Description and Access) by the Joint Steering Committee for the Revision of the Anglo-American Cataloguing Rules.

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Date

10. 9.2000 17:38:22