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Enregistrement W2116305820 · doi:10.18438/b8h89k

Library Fines Make a Difference in Academic Library Book Return Behaviour

2015· article· en· W2116305820 sur OpenAlexvenueno aff
Sue F. Phelps

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2015
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLibrary Science and Administration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLibrary scienceAcademic libraryPopulationSignificant differencePsychologySociologyMathematicsDemographyComputer scienceStatistics

Résumé

récupéré en direct d'OpenAlex

A Review of: Sung, J. S., & Tolppanen, B. P. (2013). Do library fines work?: Analysis of the effectiveness of fines on patron’s return behavior at two mid-sized academic libraries. Journal of Academic Librarianship, 39(6), 506-511. http://dx.doi.org/10.1016/j.acalib.2013.08.011 Abstract Objectives – To quantify library fines and their impact on patron return behaviour. Design – Hypothesis testing of data extracted from integrated library systems. Setting – Two midsize academic libraries, including one from the Pacific, University of Hawaii at Manoa (UHM), and one from the Midwest, Eastern Illinois University (EIU). Subjects – Undergraduates, graduate students, and faculty. Methods – The authors collected data from two midsized universities. The universities have identical integrated library systems, which allowed for uniform data extraction. The authors counted book returns in each population group (undergraduates, graduate students, and faculty) for those books that were returned before and after the due dates with a focus on late fees as the primary variable. The authors tested the following five hypotheses: • Hypothesis 1: “There is no difference in return rates before due dates among the UHM patron groups because the fine policy is the same for all patron groups” (p. 507). • Hypothesis 2: “Before 2006, the EIU undergraduate students’ return rates before due dates should be the highest among the three EIU groups because this was the only group which had overdue fines. . . . There should be no difference in the return rates before due dates between EIU faculty and EIU graduate students (both groups had no overdue fines)” (p. 507). • Hypothesis 3: “EIU graduate students’ return rates before due dates was lower for 2002–2006 than 2007–2011” (p. 507). This hypothesis tests the impact of a change in fine policy that the library implemented in the fall of 2006. • Hypothesis 4: “UHM undergraduate students’ return rates before due dates is higher than that of EIU undergraduate students” because there is no grace period for UHM undergraduates (p. 507). EIU undergraduate students have a 10-day grace period. • Hypothesis 5: “UHM faculty’s return rates before due dates is higher than that of EIU faculty” (p. 507). UHM faculty incur overdue fines, but EIU faculty encounter no penalty for overdue materials. From the integrated library systems, the authors extracted data for the number of books returned before due dates and after overdue notices and for the number of books borrowed by the different populations for the time period starting with Fall 2002 and ending with Spring 2011. The authors analyzed the data using Statistical Package for Social Science (SPSS) and made comparisons using analysis of variance (ANOVA) expressed with an F-ratio and p-value < 0.01 as the level of significance. Main Results – The findings did not support hypotheses 1 or 2. For hypothesis 1, in which fines were the same for undergraduates, graduate students, and faculty, return rates increased with academic level and faculty groups. The rates were 90.4%, 93.9%, and 95.7%, respectively (F = 112.1, p < 0.001). For hypothesis 2, the return rate was 88.8% for undergraduates, 92.6% for graduate students, and 80.1% for faculty. The group difference was small but still statistically significant (F = 171.4, p < 0.001). The graduate students, who were not fined, had significantly higher return rates before due dates than undergraduates who incurred fines. Graduate students had higher return rates than faculty, though both groups had no fines. The data did not support hypotheses 3 and 4. For hypothesis 3, no significant change occurred in return rates before and after imposing fines (F = 5.75, p = .031). For hypothesis 4, the return rates of undergraduates at the university with a grace period showed no statistically significant difference in return rates from those undergraduates with no grace period (F = 4.355, p = .044). The findings supported hypothesis 5. The return rates indicated a statistically significant difference between faculty with fines for overdue books and those with no fines (F = 1701, p < 0.001). For those hypotheses for which the differences were not significant, the authors cite other variables, including reminders, grace periods, maturity of the borrower, withholding of privileges, fees, and lost book charges, that may contribute to return rates. Conclusions – In answer to the main research question, the authors conclude that “fines indeed make a difference” (p. 511) in patron book return conduct. However, they also note that fines can mar the reputation of the library creating a barrier to access and that courtesy notices and overdue notices are also effective ways to ensure timely return of materials.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesCommunication savante
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,829
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,534
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,317
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2015
Routes d'admission1
Résumé présentoui

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