Wide Awake at 4AM: A Study of Late Night User Behavior, Perceptions and Performance at an Academic Library

Scarletto, Edith; Burhanna, Kenneth J; Richardson, Elizabeth

doi:10.1016/j.acalib.2013.02.006

Cited by 24 publications

(21 citation statements)

References 4 publications

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“…Scarletto, Burhanna, and Richardson (2013) and Yoo-Lee, Lee, and Velez (2013) found that undergraduates were the primary user demographic at night, and although they are the majority I have found non-traditional users (which includes commuters, community users, graduate students) to be an important demographic for establishing relationships with customers. Serving a diverse range of customers projects a positive image for the library in the community and can enrich library services by creative community outreach efforts (Hang Tat Leong, 2013).…”

Section: Types Of Customersmentioning

confidence: 94%

Customer Types and the Empathetic Response

Pearson

2014

The Reference Librarian

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Section: Types Of Customersmentioning

confidence: 94%

Customer Types and the Empathetic Response

Pearson

2014

The Reference Librarian

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“…Engel, Womack and Ellis found that studying and using a computer were the two most common activities, with assistance from a librarian ranking last among nine options (2002). Survey data ranked quiet study, work on projects or papers, group study, and printing as most important (Scarletto, Burhanna & Richardson, 2013). Demand for circulation and staff services was consistently low.…”

Section: Literature Reviewmentioning

confidence: 98%

“…However, several other studies do permit a rough estimate. Studies from other state university libraries that collect such data have found that overnight users comprised between 17.5% and 22% of the overall student body (Sanders & Hodges, 2014;Scarletto, Burhanna & Richardson, 2013). If our overnight "usage rate" was similar to these, our estimated overnight user population would range between approximately 9,500 and 12,000.…”

Section: Survey Instrumentmentioning

confidence: 99%

Studying the Night Shift: A Multi-method Analysis of Overnight Academic Library Users

Schwieder

Spears

2017

EBLIP

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the terms of the Creative CommonsAttribution-Noncommercial-Share Alike License 4.0 International (http://creativecommons.org/licenses/by-ncsa/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly attributed, not used for commercial purposes, and, if transformed, the resulting work is redistributed under the same or similar license to this one. AbstractObjective -This paper reports on a study which assessed the preferences and behaviors of overnight library users at a major state university. The findings were used to guide the design and improvement of overnight library resources and services, and the selection of a future overnight library site.Methods -A multi-method design used descriptive and correlational statistics to analyze data produced by a multi-sample survey of overnight library users. These statistical methods included rankings, percentages, and multiple regression.Results -Results showed a strong consistency across statistical methods and samples. Overnight library users consistently prioritized facilities like power outlets for electronic devices, and group Evidence Based Library and Information Practice 2017, 12.3 3 and quiet study spaces, and placed far less emphasis on assistance from library staff.Conclusions -By employing more advanced statistical and sampling procedures than had been found in previous research, this paper strengthens the validity of findings on overnight user preferences and behaviors. The multi-method research design can also serve to guide future work in this area.

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“…The nature of the evaluated research mandates gaining IRB approval, yet only six library learning analytics studies specifically reference the IRB process (or their country's equivalent) in the published text (Bowles-Terry, 2012; Cherry, Rollins, & Evans, 2013;Haddow & Joseph, 2010;Samson, 2014;Scarletto, Burhanna, & Richardson, 2013;Thorpe, Lukes, Bever, & He, 2016). Haddow and Joseph (2010) is one of these; they describe gaining approval from their University's Human Research Ethics Committee on the condition of ensuring that "individual students were not identified or identifiable and the secure storage of data" (p. 236).…”

Section: Shared Privacy Responsibilitymentioning

confidence: 99%

Data Management Practices in Academic Library Learning Analytics: A Critical Review

Briney

2019

Journal of Librarianship and Scholarly Communication

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INTRODUCTION Data handling in library learning analytics plays a pivotal role in protecting patron privacy, yet the landscape of data management by librarians is poorly understood. METHODS This critical review examines data-handling practices from 54 learning analytics studies in academic libraries and compares them against the NISO Consensus Principles on User's Digital Privacy in Library, Publisher, and Software-Provider Systems and data management best practices. RESULTS A number of the published research projects demonstrate inadequate data protection practices including incomplete anonymization, prolonged data retention, collection of a broad scope of sensitive information, lack of informed consent, and sharing of patron-identified information. DISCUSSION As with researchers more generally, libraries should improve their data management practices. No studies aligned with the NISO Principles in all evaluated areas, but several studies provide specific exemplars of good practice. CONCLUSION Libraries can better protect patron privacy by improving data management practices in learning analytics research.

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Wide Awake at 4AM: A Study of Late Night User Behavior, Perceptions and Performance at an Academic Library

Cited by 24 publications

References 4 publications

Customer Types and the Empathetic Response

Customer Types and the Empathetic Response

Studying the Night Shift: A Multi-method Analysis of Overnight Academic Library Users

Data Management Practices in Academic Library Learning Analytics: A Critical Review

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