Coding Practices for LibQUAL+® Open-Ended Comments

• Main Authors: Karen Neurohr, Eric Ackermann, Daniel P. O'Mahony, Lynda S. White
• Format: Article
• Language: English
• Published: University of Alberta 2013-06-01
• Series: Evidence Based Library and Information Practice
• Online Access: https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/19648

Objective – This paper presents the results of a study of libraries’ practices for coding open-ended comments collected through LibQUAL+® surveys and suggests practical steps for facilitating this qualitative analysis. Methods – In the fall of 2009, survey invitations were sent to contacts at 641 institutions that had participated in the LibQUAL+® survey from 2003 to 2009. Of those invited, there were 154 respondents, for an overall response rate of 24.0%. Results – Nearly 87% of the respondents indicated that their library had performed a qualitative analysis of the comments from their most recent LibQUAL+® survey. Of these, over 65% used computer software to organize, code, sort, or analyze their comments, while 33.6% hand-coded their comments on paper. Of the 76 respondents who provided information on software, 73.7% used Excel, 18.4% used Atlas.ti, and 7.9% used NVivo. Most institutions (55.8%) had only 1 person coding the comments; 26.9% had 2 coders, and very few had 3 or more. Of those who performed some type of analysis on their comments, nearly all (91.9%) indicated that they developed keywords and topics from reading through the comments (emergent keywords). Another common approach was to code the comments according to the LibQUAL+® dimensions; 55.0% of respondents used this strategy. Nearly all of the institutions (92.7%) reported using their LibQUAL+® comments internally to improve library operations. Libraries also typically incorporated the comments into local university reports (75.5%) and used the comments in outreach communications to the university community (60.9%). Conclusion – Comments obtained from the LibQUAL+® survey can be useful for strategic planning, understanding users, identifying areas for improvement, and prioritizing needs. A key suggestion raised by respondents to this survey was for practitioners to consider sharing the fruits of their labor more widely, including coding taxonomies and strategies, as well as broader discussion of qualitative analysis methods and practices.