A Review and Application of Library User Comments Data Analysis Tool: Focused on the LibQUAL+ Survey Comments (도서관 이용자 코멘트 데이터 분석도구 리뷰 및 적용: LibQUAL+ 설문 데이터를 중심으로)

Jeayeon Byun (변제연); SHIM, WONSIK (심원식)

doi:10.3743/KOSIM.2013.30.3.157

A Review and Application of Library User Comments Data Analysis Tool: Focused on the LibQUAL+ Survey Comments

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2013, 30(3), pp.157~181
DOI : 10.3743/KOSIM.2013.30.3.157
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : August 20, 2013
Accepted : September 21, 2013
Published : September 30, 2013

Jeayeon Byun ¹, SHIM, WONSIK ¹

¹성균관대학교

Accredited

ABSTRACT

Using user satisfaction surveys and LibQUAL+ instruments, libraries are increasingly gathering qualitative data such as verbatim user comments as well as quantitative data. Such qualitative data can be utilized as clues in establishing library service strategies: to better understand user issues, to identify areas for service improvement, and to prioritize user needs. For this, it is necessary to analyze user comments data and to apply results to the delivery of service and the library policies. This study is an attempt to investigate ways in which user comments data can be made useful in libraries. It identifies different methods of analyzing user comments data from LibQUAL+ surveys and compares qualitative data analysis software programs and taxonomies. It also presents the results of applying these tools to a subset of actual user comments data gathered from a recent LibQUAL+ survey at a major university library in Korea.

KEYWORDS

LibQUAL+, user comments, qualitative data, qualitative data analysis software, taxonomy, library evaluation

Citation status

* References for papers published after 2023 are currently being built.

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KJCKorea
Journal Central

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Review and Application of Library User Comments Data Analysis Tool: Focused on the LibQUAL+ Survey Comments

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Review and Application of Library User Comments Data Analysis Tool: Focused on the LibQUAL+ Survey Comments

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.