Mixed-Method Survey Research is Useful to Incrementally Improve Library Homepage Design
Bibliographic record
Abstract
A Review of:
 Deschenes, A. (2014). Improving the library homepage through user research – without a total redesign. Weave, 1(1). http://dx.doi.org/10.3998/weave.12535642.0001.102 
 
 Abstract
 
 Objective – To assess content organization and wording of links on the library’s homepage.
 
 Design – Mixed-methods survey.
 
 Setting – Small college, United States of America.
 
 Subjects – 57 library users.
 
 Methods – Library staff distributed paper surveys at the entrance to the library, with the goal of collecting a minimum of 30 surveys. The survey directed participants to indicate their preferred terms from a list, and their preference for ordering the menu items on the library’s homepage. Qualitative survey data was also collected via several open-ended questions that began with prompts such as “I really love…” and “I can never find…”
 
 Main Results – The search box tab labelled “Library Catalogue” was preferred over “Books and Media,” which the staff believed to be a more user-friendly term. Using a pre-defined list, participants ranked the Library Catalogue as the most important tab, followed by E-Resources, Articles, and Library Guides. A link to the Library Catalogue was also selected as the most important resource sidebar link, followed by E-Resources, Full-Text Journals, Library Guides, and Refworks. The service sidebar links by order of importance were found to be: Library Hours, Group Study Rooms, Writing & Citing, Interlibrary Loan, and Chat with a Librarian. Qualitative feedback received demonstrated a lack of understanding what the terms “Library Guides” and “A-Z List” mean, and difficulty finding a complete list of databases. Library staff received feedback that the Library Hours and Account Log In should be made more prominent. 
 
 Conclusion – Library staff updated the website to reflect user preferences for wording and order of links on the homepage. Google Analytics showed a decrease of 30 seconds per average visit after the changes, which the author attributes to better wording and organization. There were no complaints about the website in the first three months after the change. The author concludes that a paper survey is an effective tool for librarians who would like to make incremental changes on their homepages.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.447 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".