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Using Content Analysis Software To Analyze Survey Comments, Bradford W. Dennis, Tim Bower
Using Content Analysis Software To Analyze Survey Comments, Bradford W. Dennis, Tim Bower
University Libraries Faculty & Staff Publications
In order to get the most from LibQUAL+™ qualitative data, libraries must organize and classify the comments of their patrons. The challenge is to do this effectively and efficiently. This article illustrates how researchers at Western Michigan University Libraries utilized ATLAS.ti 5.0 to organize, classify, and consolidate the LibQUAL+™ comments.
How To Get More From Your Quantitative Libqual+™ Dataset: Making Results Practical, Bradford W. Dennis, Tim Bower
How To Get More From Your Quantitative Libqual+™ Dataset: Making Results Practical, Bradford W. Dennis, Tim Bower
University Libraries Faculty & Staff Publications
This research paper outlines three analytic tools utilized in the analysis and interpretation of LibQUAL+™ quantitative data. D-M scores, value rankings, and split-file cross-tabulations were used to assess the service items from the 2004 LibQUAL+™ quantitative data.
We suggest that these tools provide a way to more easily utilize LibQUAL+™ results in taking actions and developing strategic plans designed to improve patrons’ perceptions of service quality. These tools also allow for the continuous evaluation of implemented plans. We discuss how these tools helped produce findings that were informative and in a format that decision makers could easily comprehend and utilize.