LibQUAL+™ spring 2001 comments: a qualitative analysis using Atlas.ti

Respondents’ comments to the LibQUAL+™ spring 2001 survey were examined to refine the instrument and reduce non‐sampling error. Using qualitative data analysis software, Atlas.ti, respondents’ unsolicited e‐mail messages were analyzed. Results showed that the major problem with the survey was its length, which was due to a combination of factors. This information helped the survey designers in reducing the number of library service quality items from 56 to 25 and in addressing technical problems from the Web‐based survey. An in‐depth discussion of the steps followed in conducting the Atlas.ti analysis will also be discussed.