2002
DOI: 10.1108/14678040210429008
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LibQUAL+™ spring 2001 comments: a qualitative analysis using Atlas.ti

Abstract: 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‐b… Show more

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Cited by 9 publications
(11 citation statements)
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“…A search of the published, peer-reviewed library literature found 12 articles and conference papers produced by 11 academic libraries: Bowling Green State University (Haricombe & Boettcher, 2004); Northeastern University (Habich, 2009); Notre Dame (Jones & Kayongo, 2009); Texas A&M (Guidry, 2002;Clark, 2007); University of Arizona (Begay, Lee, Martin, & Ray, 2004); University of British Columbia (Friesen, 2009); University of Idaho (Jankowska, Hertel, & Young, 2006); University of Massachusetts-Amherst (Fretwell, 2009); University of Pittsburgh (Knapp, 2004); Vanderbilt University (Wilson, 2004); Western Michigan University (Dennis & Bower, 2008). These articles covered LibQUAL+® surveys administered during the period from 2001 to 2007 and for the most part described the methodologies, experiences, and findings of individual libraries that performed some type of systematic analysis of their survey's comments.…”
Section: Literature Review/bibliographymentioning
confidence: 99%
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“…A search of the published, peer-reviewed library literature found 12 articles and conference papers produced by 11 academic libraries: Bowling Green State University (Haricombe & Boettcher, 2004); Northeastern University (Habich, 2009); Notre Dame (Jones & Kayongo, 2009); Texas A&M (Guidry, 2002;Clark, 2007); University of Arizona (Begay, Lee, Martin, & Ray, 2004); University of British Columbia (Friesen, 2009); University of Idaho (Jankowska, Hertel, & Young, 2006); University of Massachusetts-Amherst (Fretwell, 2009); University of Pittsburgh (Knapp, 2004); Vanderbilt University (Wilson, 2004); Western Michigan University (Dennis & Bower, 2008). These articles covered LibQUAL+® surveys administered during the period from 2001 to 2007 and for the most part described the methodologies, experiences, and findings of individual libraries that performed some type of systematic analysis of their survey's comments.…”
Section: Literature Review/bibliographymentioning
confidence: 99%
“…Seven of these 11 libraries were members of ARL (Begay et al, 2004;Guidry, 2002;Clark, 2007;Jones & Kayongo, 2009;Fretwell, 2009;Friesen, 2009;Knapp, 2004;Wilson, 2004). Ten of the 11 institutions are located in the United States: 3 in the Northeast, 3 in the South, 2 in the Midwest, and 2 in the West, while the eleventh institution is located in Canada.…”
Section: Literature Review/bibliographymentioning
confidence: 99%
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“…Use pre-defined analytical techniques, including pre-defined codes (Atherton & Elsmore, 2007) • Depending on the program used, codes can either be pre-determined or developed as the data are analysed (Denzin & Lincoln, 2000) • QDA programs are ''neutral in intent and output'' (Atherton & Elsmore, 2007, p. 69) as meaning and interpretation are provided by the researcher through the provision of codes. ''Creation of too many codes and consequent loss of understanding of the overall picture'' (Rettie, Robinson, Radke, & Ye, 2008) • An overview of the overall picture can be easily obtained as software programs provide mechanisms to link information and find patterns (Guidry, 2002) Source: Authors' Compilation Table 2 indicates that when a software program is used, the analysis part (including but not limited to coding, judging, opinions, ideas and interpretation) can only be done by the researcher (Pandit, 1996). For this study, the QDA program mainly assisted with data management in the form of storage, ordering and easy retrieval (Atherton & Elsmore, 2007;Rettie, Robinson, Radke, & Ye, 2008).…”
Section: Concernmentioning
confidence: 99%
“…• Although the program allows searches within the data to identify patterns, interpretation of the data can only be done by the researcher as the researcher still needs to specify what patterns to look for (Guidry, 2002).…”
Section: Concernmentioning
confidence: 99%