Undergraduates Prefer Federated Searching to Searching Databases Individually
Notice bibliographique
Résumé
A Review of: Belliston, C. Jeffrey, Jared L. Howland, & Brian C. Roberts. “Undergraduate Use of Federated Searching: A Survey of Preferences and Perceptions of Value-Added Functionality.” College & Research Libraries 68.6 (Nov. 2007): 472-86. Objective – To determine whether use of federated searching by undergraduates saves time, meets their information needs, is preferred over searching databases individually, and provides results of higher quality. Design – Crossover study. Setting – Three American universities, all members of the Consortium of Church Libraries & Archives (CCLA): BYU (Brigham Young University, a large research university); BYUH (Brigham Young University – Hawaii, a small baccalaureate college); and BYUI (Brigham Young University – Idaho, a large baccalaureate college) Subjects – Ninety-five participants recruited via e-mail invitations sent to a random sample of currently enrolled undergraduates at BYU, BYUH, and BYUI. Methods – Participants were given written directions to complete a literature search for journal articles on two biology-related topics using two search methods: 1. federated searching with WebFeat® (implemented in the same way for this study at the three universities) and 2. a hyperlinked list of databases to search individually. Both methods used the same set of seven databases. Each topic was assigned in random order to one of the two search methods, also assigned in random order, for a total of two searches per participant. The time to complete the searches was recorded. Students compiled their list of citations, which were later normalized and graded. To analyze the quality of the citations, one quantitative rubric was created by librarians and one qualitative rubric was approved by a faculty member at BYU. The librarian-created rubric included the journal impact factor (from ISI’s Journal Citation Reports®), the proportion of citations from peer-reviewed journals (determined from Ulrichsweb.com™) to total citations, and the timeliness of the articles. The faculty-approved rubric included three criteria: relevance to the topic, quality of the individual citations (good quality: primary research results, peer-reviewed sources), and number of citations. Data were then analysed using ANOVA and MANOVA. Finally, librarians at the ACRL 13th National Conference Presentation were polled about their perceptions of the time savings of federated searching, whether the method meets undergraduates’ information needs, undergraduate preference for searching, and the quality of citations found. Main Results – Seventy percent of all participants preferred federated searching. For all schools combined, there was no statistically significant difference between the average time taken using federated searching (20.34 minutes) vs. non-federated searching (22.72 minutes). For all schools combined, there was a statistically significant difference in satisfaction of results favouring federated searching (5.59/7 vs. 4.80/7 for non-federated searching, α = .05). According to the librarian-created rubric, citations retrieved from federated searching were a statistically significant 6% lower in quality than citations retrieved from non-federated searching (α = .05). The faculty-approved rubric did not detect a difference in the quality of the citations retrieved using the 2 methods. Librarians’ perceptions as assessed at the ACRL 13th National Conference Presentation generally matched the authors’ findings. Conclusion – Overall, students in this study preferred federated searching, were more satisfied with the results of federated searching, and saved time (although the savings were not statistically significant). The quality of citations retrieved via both methods was judged to be similar. The study provides useful information for librarians interested in users’ experiences and perceptions of federated searching, and indicates future studies worth conducting.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».